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INTRODUCTION
Southeast Asia is an important and dynamically developing region of the world and Indonesia is the largest and most populous country in this part of the planet. Among many different viewpoints which may be used to study the development of nations including social, economic, demographic and oth-er aspects, scientometrics (as “the science of science”) may help discover interesting facts about the status and development of a country in science and technology. To this end, the present study aims to use scientometric approaches to analyze the current state and trends in research performance of five comparable Southeast Asian nations (Indonesia, Malaysia, Philip-pines, Thailand, and Vietnam), with a special focus on Indonesia and its place in science and technology production of Southeast Asia in the first two decades of the 21st century. Therefore, this study will investigate 330,729 publication records of journal articles indexed in the prestigious Science Citation Index Expanded of the Web of Science database that were published in the period 2001-2020. This study would thereby like to answer the following research questions: Has the Southeast Asian scientific pro-duction been growing in recent years? What are the basic scientometric in-dicators of these countries like absolute publication and citations counts, mean number of citations per publication, and relative numbers of publica-tions and citations per population, gross domestic product, and research and development expenditure? How did these metrics evolve over twenty years of time from 2001 to 2020? And what is Indonesia’s standing compared to the other nations as measured by those various indicators? The research performance of countries in relation to various socio-economic factors has been studied many times in the past (e.g. King, 2004; May, 1997) and is thus a well-established tool to determine the “health” of a nation. Furthermore, Indonesia’s research production or impact has been the focus of multiple studies in general (Achsan et al., 2019; Iskandar et al., 2021a; Nandiyanto et al., 2020b) or with a focus on a specific scien-tific field or discipline such as social sciences (Achwan et al., 2020), renewable energy (Akbar et al., 2020), library and information science (Hasanah et Rachman, 2021), e-learning (Iskandar et al., 2021b), mathemat-ics and statistics (Nadhiroh et al., 2018), chemical and material sciences (Nandiyanto et al., 2020a), cancer research (Puspitaningtyas et al., 2021), innovation systems (Putera et al., 2020), or Covid-19 (Syamsurrijal et al., 2021). In addition, some investigations were concerned with the research performance of Indonesian universities (Darmadji et al., 2018; Ibrahim et Fadhli, 2021; Prasojo et al., 2019) and yet some others explored Indone-sia’s research as part of a group of different countries generally (Pohl, 2020) or with concentration on a specific topic like Islamic finance (Tijjani et al., 2020). On the other hand, science in Southeast Asia has been the concern of multiple general analyses (Arunachalam et Garg, 1986; Nguyen and Pham, 2011; Purnell, 2021) or of studies with a certain focus on ethnobiology (Hidayati et al., 2015), dentistry (Sirisinha et al., 2011), Covid-19 research (Tantengco, 2021), schistosomiasis research (Tantengco and Rojo, 2022), chemical engineering (Yin, 2009), and research collabora-tion (Kumar et al., 2014) to name a few of the more recent ones. Most of the aforementioned research was based on data from the Scopus database (www.scopus.com) and none dealt specifically with data from the Science Citation Index Expanded (see next section) in the context of Indo-nesia and Southeast Asia in the first two decades of the 21st century, mak-ing the analysis presented here truly unique. Let us also remark that the terms publication, article, and paper will be used interchangeably through-out this text.
METHOD
The data for this study were collected on 17 February 2022 using the stand-ard Web of Science user interface. This study searched for papers published by authors from specific countries and included five to some extent compa-rable countries (Indonesia, Malaysia, Philippines, Thailand, and Vietnam – in alphabetical order) and deliberately omitted other countries from the region that were either too small as to population and/or publication out-put (Brunei, Cambodia, East Timor, Laos, Myanmar) or had a different char-acter of a developed nation (Singapore). This study focused on the time range 2001-2020 and only in the documents found in the Science Citation In-dex Expanded being of type article, review article or proceedings paper. Our search resulted in a set of 330,729 document records. The Science Citation Index Expanded (SCIE) draws data from more than 9,500 prestigious scientific journals across 178 disciplines of science, technology, and medicine and contains over 53 million article records da-ting as far back as 1900. It has been long used for scientometric measure-ments in numerous studies and has at times achieved a kind of monopoly as the underlying data source of such analyses (Ball & Tunger, 2006; Larsen & von Ins, 2010). Moreover, SCIE’s citation data are considered reliable and robust (Bornmann et al., 2009) and result in the calculation of the so-called journal impact factors in the yearly Journal Citation Reports by Clarivate (formerly Clarivate Analytics). These and other reasons formed the basis of our decision to use SCIE publication and citation data to ex-amine Indonesia’s research performance in the context of four other South-east Asian nations. Table 1 presents an overview of the numbers of publications and cita-tions determined for the individual five countries under study along with some basic socio-economic indicators, this study will further work with in analysis, most notably their population size, gross domestic product (GDP), and R&D (research and development) expenditure.
RESULTS AND DISCUSSION
In terms of population, Indonesia is the largest country with almost 267 million inhabitants and Malaysia is the smallest with roughly 32 million people. This is also somehow reflected in the amount of GDP generated, which is by far the largest for Indonesia albeit not quite proportional with its vast population. In fact, Malaysia’s GDP per capita (i.e. taking account of the population size) is almost three times higher than Indone-sia’s. In this respect, Malaysia can be considered three times “richer” than Indonesia and the “poorest” nation appears to be Vietnam, which is placed well below the Philippines and Indonesia and far behind both Thai-land and Malaysia. However, Vietnam seems to put some efforts into boosting its R&D sector because its national expenditures on research and develop-ment stand at 0.53 % GDP, which is about a half of this indicator in the more developed Malaysia and Thailand, and two or three times higher than in both Indonesia and the Philippines. As far as the absolute and the rela-tive R&D expenditures are concerned, Thailand and Malaysia are ranked first, respectively, with the Philippines always occupying the last place. Indonesia, with its 9.12 USD per capita is 12 times less generous than Ma-laysia and only slightly better than the Philippines, but its absolute R&D expenditures are higher than those in Vietnam as well as those in the Phil-ippines.
Table 1
Basic indicators for five Southeast Asian countries under study.
| Indonesia | Malaysia | Philippines | Thailand | Vietnam | |
| Population [millions] | 266.8 | 32.0 | 106.5 | 69.2 | 96.5 |
| GDP [million USD] | 1,058,424 | 337,006 | 361,489 | 501,644 | 271,158 |
| GDP per capita [USD] | 3,967 | 10,531 | 3,394 | 7,249 | 2,810 |
| R&D expenditure in % GDP | 0.23 | 1.04 | 0.16 | 1.00 | 0.53 |
| R&D expenditure [million USD] | 2,434 | 3,505 | 578 | 5,016 | 1,437 |
| R&D expenditure per capita [USD] | 9.12 | 109.53 | 5.43 | 72.49 | 14.89 |
| # Publications | 31,364 | 134,122 | 18,303 | 112,580 | 49,326 |
| # Citations | 712,485 | 2,918,467 | 591,879 | 2,530,091 | 974,706 |
| # Citations per publication | 22.72 | 21.76 | 32.34 | 22.47 | 19.76 |
| # Publications per (million of) population | 118 | 4,191 | 172 | 1,627 | 511 |
| # Citations per (million of) population | 2,670 | 91,202 | 5,558 | 36,562 | 10,101 |
| # Publications per (billion USD of) GDP | 29.6 | 398.0 | 50.6 | 224.4 | 181.9 |
| # Citations per (billion USD of) GDP | 673 | 8,660 | 1,637 | 5,044 | 3,595 |
| # Publications per (million USD of) R&D expenditure | 12.88 | 38.27 | 31.65 | 22.44 | 34.32 |
| # Citations per (million USD of) R&D expenditure | 293 | 833 | 1,023 | 504 | 678 |
Note: Population data from the United Nations Population Division Version 3 (October 2018) (https://population.un.org/wpp/Download/Standard/Population/); GDP 2020 data (current USD – United States dollars) from The World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=ID-MY-PH-TH-VN – accessed 1 March 2022); R&D expenditure in % GDP data from The World Bank (https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS?locations=ID-MY-PH-TH-VN) – most recent data for Indonesia and Malaysia from 2018, for Thailand and Vietnam from 2017, and for the Philippines from 2015; other data based on own research/calculation.
Publications
As can be viewed in Table 1, the largest number of publications (134,122) were authored by researchers affiliated with Malaysian institutions, and the lowest number of papers (18,303) were written by scientists from institutions located in the Philippines. Indonesia’s contribution is 31,364 articles, which is the second lowest and represents about 9% of all articles published (see Figure 1 top). Please note that the numbers of papers published by the individual five countries shown in Table 1 do not add up to the total number of publications (330,729), but their sum is actually higher because the so-called full counting is applied here and some papers co-authored by scholars from several countries are thus counted multiple times. (For this reason, the percentages in Figure 1 are only approximate without any decimal digits given, but the proportions are correct.)
Citations
Now let us have a look at the citations received by the countries’ publications. Indonesia’s articles attracted more than 700,000 citations (see Table 1), which is again an approximate 9% share in total cites (see Figure 1 bottom). The contribution of Indonesia’s research output to the overall citedness of Southeast Asian (i.e. of those five nations under scrutiny) scholarly papers is thus in line with the expected proportion of total citations (full counting is applied here too). The same can be said about Malaysia, Thailand, and (to a lesser extent) about Vietnam but does not hold for the Philippines whose expected citation share is 5% (as its publication percentage) but is actually about 8%, which is 1.6 times higher.
Figure 1
Publication (top) and citation (bottom) shares of five countries in 2001-2020 using full counting.
Figure 1.
The better-than-expected citation performance of the Philippines is confirmed by the highest average number of citations per publication (also called citations per paper – CPP) standing at 32.34 whereas Indonesia, Malaysia, and Thailand have all around 22 CPP and Vietnam slightly below 20. Therefore, if we consider citedness as a proxy for research quality and its influence, the Philippines has perhaps surprisingly the most influential research and Indonesia is comparable or slightly better than the other nations. On the other hand, if we take a different perspective through the lens of population size, Indonesia is the last country according to both of these criteria (see Table 1): number of publications per million of population (118) and number of citations per million of population (2,670). The “winner” is always Malaysia followed by Thailand, Vietnam, and the Philippines in both rankings and it is clearly the reverse order of countries sorted by population size.
Publication Dynamics
So far we have been concerned with static indicators of research performance of nations, but now we might become interested in how these metrics have evolved over time. One of the first such insights is presented in Figure 2 where we can observe the publication output counts in the individual years of the first two decades of the 21st century. What we may immediately grasp is the fact that all five countries have been increasing their scientific production in the past 20 years, but not at the same pace. While Thailand seems to raise its research output in a rather linear way and as the original number one country it has been overtaken by Malaysia since 2010, other nations have seen a more rapid development which even appears to resemble an exponential curve for Vietnam. Indeed, Vietnam’s scholarly output increased almost threefold between 2017 and 2020 and if its publication output curve is extrapolated to the future, it will probably overtake Thailand very soon and Malaysia in the long run too. As far as Indonesia is concerned, its production tripled in a little longer time range (from 2015 to 2020) to reach 5,483 publications in the final year under study.
Figure 2
Publications of the five countries under study in individual years
Figure 2.
Citation Dynamics
The time evolution of the number of citations received, which is depicted in Figure 3, is more difficult to interpret. Every data point in the chart shows the number of citations the papers from a particular year have attracted since they were published. (Remember that data collection took place in February 2022 so all citations were made until then.) Obviously, more recent papers thus have a smaller citation window and less time to garner cites than older articles. This is well visible with Malaysia’s citations past 2015 which steadily declined after reaching their peak (almost 300,000) in that year. And a similar drop in citations can be seen with all other countries except Vietnam. In fact, Vietnam’s citations have been constantly rising despite the shortening citation window since 2014 and even peaked with well over 100,000 in 2020 ranking it second only to Malaysia, which is a truly extraordinary achievement. As for Indonesia, the most citations were obtained by its papers published in 2017 (more than 60,000) whereas Thailand’s most cited articles appeared in 2012 (two years after quitting the first position) and those of the Philippines in 2015. Briefly, in the context of citation distribution over time Indonesia is not outstanding, unlike the citations per paper (CPP) indicator which will be shown in the following Figure 4.
Figure 3
Citations of papers of the five countries under study published in individual years.
Figure 3.
The inset chart in Figure 4 displays the overall CPPs of countries mentioned previously in Table 1 and clearly shows the Philippines leading before Indonesia in the second place. This is also confirmed in the main chart where the Philippines is almost always ranked first and Indonesia is quite often ranked second. In fact, Indonesia achieved the first position once (in 2014), but its most successful articles (as to citations) were published in 2009 and attracted 43.06 cites on average. Otherwise, the generally declining trend visible in Figure 4 for all countries is caused by the diminishing citation window of newer papers as explained earlier.
Figure 4
Average number of citations per paper in individual years (main chart) and in the whole period (inset).
Figure 4.
Publications per Population
Another interesting perspective is presented in Figure 5, in which the de-velopment of the publication counts per population size throughout the pe-riod 2001-2020 is depicted in the main chart and the total numbers of pub-lications per million of the population are shown in the small inset chart. As we can see, Malaysia has the most publications per population in total as well as in all years of the period under investigation, whereas Indone-sia is the last nation overall and ties the last place with the Philippines in most years and with Vietnam at the beginning of the period under inves-tigation. Vietnam, however, started increasing its production per popula-tion after 2010 and has been detaching itself from the bottom two countries in recent years. In general, the trend of production per population is pos-itive for all nations but with a different slope, which is again remarkably different from the curves we can see in Figure 6 dealing with citations per population.
Citations per Population
As Figure 6 shows, the citation counts per million of the population rise until they reach a certain high, and then they fall again in all countries but Vietnam. This curve is particularly well pronounced for Malaysia, whose most influential articles (in terms of citations) were apparently published in 2015 and whose overall citations per population are far superior to all other nations as can be seen in the little inset chart. And a look at the same inset chart also discloses that Indonesia has the least citations per population of all nations, which is confirmed by Indonesia’s curve in the main chart often being the bottom line in the individual years. Regarding Vietnam, it is a special case even here in Figure 6 because its citations per population have been consistently growing since 2014 hitting a high of 1,091 in 2020 and placing it on a par with Thailand in that year. Based on this, we may claim that the future looks bright for Vietnam. Figure 5 Average number of publications per (million of) population in individual years (main chart) and in the whole period (inset).
Figure 5.
Figure 6 Average number of citations per (million of) population in individual years (main chart) and in the whole period (inset).
Figure 6.
Before turning our attention to the last figure of this study, let us re-mark that the previous two charts displaying the evolution of publication and citation counts per population over time rely solely on the static pop-ulation size given in Table 1. This is an obvious limitation of the charts as the population size of the countries surely did not remain static but also evolved over time in the investigated period 2001-2020. Therefore, as it would be very difficult, if not impossible, to determine the exact popu-lation count of each country in each year, the charts must only be consid-ered as an approximation of the “true” development. For this and other rea-sons, the following Figure 7 does not contain a time dimension because it was not feasible to ascertain the exact values of GDP and R&D expenditures of countries in each year. Figure 7 Numbers of publications and citations per GDP and R&D expenditure for five Southeast Asian countries in 2001-2020.
Figure 7.
Let us now return to Table 1 and have a look at its four bottom rows that are reflected in Figure 7. It is clearly visible that Malaysia has, by a wide margin, the best publications/GDP ratio with almost 400 publications per billion USD of GDP, followed by Thailand and Vietnam whereas this ratio is the lowest for Indonesia (about 30) with even the Philippines being al-most twice as good. Malaysia is also the best as regards the relative pro-portion of publications count to research and development expenditures (around 38 papers per million USD of R&D expenditure), but the gap behind it is quite small and Vietnam and the Philippines follow suit closely. In-donesia’s indicator of approximately 13 articles per million USD of R&D ex-penditure puts it in the last place once again. Regarding citations, the pattern differs a little from that with publications and Malaysia is clear-ly ranked first with almost 9,000 citations per billion USD of GDP, but it is the Philippines that occupies the top position by a narrow margin with more than 1,000 citations per million USD of R&D expenditure. Indonesia is ranked last according to both of these metrics with 673 and 293 citations, respectively.
Indonesia’s Place
Before moving to the next topic, let us summarize what we have found out about Indonesia from Table 1 and the preceding figures so far. It is the most populous country with the largest absolute GDP and a mediocre GDP per capita. Its R&D expenditure in % GDP as well as R&D expenditure per capita are both second lowest and its overall R&D expenditure places it in the middle of the ranking. Indonesia’s total publication and citation counts are both the second worst and the only indicator in which it stands out in the positive sense is the mean number of citations per paper which places Indonesia in the second place, slightly ahead of Thailand. According to all other remaining criteria that were examined (publication and citation counts per population, GDP, and R&D expenditure), Indonesia is always ranked last, which certainly leaves much room for the improvement of its place in the research landscape of Southeast Asia. As for the other coun-tries investigated in this study, Malaysia is the leading nation in the re-gion in almost all main aspects, generally followed by Thailand, but Vi-etnam’s remarkable dynamics currently threatens Thailand’s position and may even depose Malaysia from the throne in the not-so-distant future. Finally, the Philippines is notable for the very efficient production of highly-cited research supported by quite limited resources.
Top Collaborating Countries, Subject Categories, and Indonesian Institutions
The last tables in this study focus on some interesting features of Indone-sia’s 31,364 articles indexed in SCIE from 2001 to 2020. Table 2 first lists the top 20 collaborating countries, Web of Science subject catego-ries, and Indonesian institutions as extracted from Indonesia’s papers and Table 3 then deals with the top 20 journals publishing Indonesia’s arti-cles. As we may notice, the countries most frequently collaborating with Indonesia are Japan (21.4%), USA (14.2%), Australia (13.2%), UK (11.3%), and Malaysia (11.1%), which is at the same time the most common representa-tive of Southeast Asia, all having contributed more than 3,000 papers with Indonesia-based co-authors. The scientific disciplines that are researched into the most by scholars affiliated with Indonesian organizations are “En-vironmental Sciences” with 2,410 articles, “Materials Science Multidisci-plinary”, “Multidisciplinary Sciences”, “Food Science Technology”, and “Ecology”. And the top five (i.e. publishing the most articles) Indonesian institutions are “University of Indonesia” with 3,180 papers, “Gadjah Mada University”, “Institute Technology of Bandung”, “Indonesian Institute of Sciences”, and “Bogor Agricultural University”.
Top Publishing Journals
The journals publishing the most articles written by researchers with Indo-nesian affiliations are presented in Table 3 along with their ISSN (Inter-national Standard Serial Number), publication count, and mean JIF (journal impact factor) percentile, which can be considered as an approximation of a journal’s quality . The most common journal is PLOS One with 518 Indone-sia’s articles, followed by International Food Research Journal, Heliyon, Scientific Reports, and Zootaxa. Among these journals only Scientific Re-ports is a Q1 journal, the others being ranked lower or not having their impact factor (yet) as with Heliyon. The only other Q1 journal from the Top 20 is Forest Policy and Economics with 104 articles, further indicating some room for improvement for Indonesian scholars who might want to target higher-ranked journals with the aim of attracting more citations to their research.
Table 2
Top 20 collaborating countries, Web of Science subject categories, and In-donesian institutions in Indonesia’s 31,364 art
Figure 8.
Note: England, Scotland, Wales, and Northern Ireland were merged into the United Kingdom (UK). Table 3 Top 20 journals publishing 31,364 Indonesia’s articles.
| Journal Title | ISSN | Count | Mean JIF Percentile |
| PLOS One | 1932-6203 | 518 | 64,58 |
| International Food Research Journal | 1985-4668 | 204 | 12,94 |
| Heliyon | 2405-8440 | 199 | NA |
| Scientific Reports | 2045-2322 | 199 | 77,08 |
| Zootaxa | 1175-5326 | 171 | 31,90 |
| Sustainability | 2071-1050 | 140 | 44,99 |
| Asia Pacific Journal of Clinical Nutrition | 0964-7058 | 136 | 15,34 |
| American Journal of Tropical Medicine and Hygiene | 0002-9637 | 122 | 47,01 |
| Materials Research Express | 2053-1591 | 116 | 18,71 |
| IEEE Access | 2169-3536 | 113 | 62,23 |
| Malaria Journal | 1475-2875 | 105 | 61,02 |
| Forest Policy and Economics | 1389-9341 | 104 | 78,49 |
| Sains Malaysiana | 0126-6039 | 104 | 22,92 |
| Energies | 1996-1073 | 99 | 39,04 |
| Bioresources | 1930-2126 | 97 | 65,91 |
| Raffles Bulletin of Zoology | 0217-2445 | 97 | 40,52 |
| Journal of Natural Products | 0163-3864 | 96 | 68,73 |
| Journal of Volcanology and Geothermal Research | 0377-0273 | 96 | 53,25 |
| International Forestry Review | 1465-5489 | 94 | 50,00 |
| Southeast Asian Journal of Tropical Medicine and Public Health | 0125-1562 | 92 | 1,31 |
Note: The mean journal impact factor (JIF) percentile is calculated from the 2020 Journal Citation Reports (Clarivate, 2021) as the average JIF per-centile in all relevant subject categories of all indexes.
Conclusions and Future Work
Scientometrics is one of the many perspectives we may take to look at the socio-economic development of nations and in this paper we presented a study that used this approach to compare Indonesia with four other South-east Asian countries (Malaysia, Philippines, Thailand, and Vietnam) and to shed more light on its role in the research landscape of this important re-gion of the world. We wanted to find answers to the following questions: Has the total science and technology research production in the region been growing in recent years? What are the basic scientometric indicators such as publication and citations counts, citations per paper, and publications and citations per population, GDP (gross domestic product), and R&D (re-search and development) expenditure? How did these indicators evolve over time? And what is Indonesia’s standing in the rankings by these metrics? On the way to find answers to the above questions we made the following contributions: We analyzed 330,729 publication records extracted from the primary Science Citation Index Expanded of the Web of Science database about journal articles written by authors with affiliations in the five countries under study and published between 2001 and 2020. We determined the absolute publication and citation counts of the nations and, based on various socio-economic indicators of these countries such as population size, GDP, and R&D expenditure we also calculated different relative scien-tometric indicators. We also compared (with a focus on Indonesia) and visu-alized the research performance of the five nations from both the static and dynamic perspectives and, finally, we determined Indonesia’s top col-laborating countries, scientific disciplines, institutions, and publishing journals. The main findings of our analysis are: a) the research production of all five countries has been growing in recent years, b) Indonesia is the weakest nation in all relative scientometric indicators except the mean number of citations per paper where it is ranked second, c) Malaysia is generally the leading country in all major aspects, but Vietnam has a re-markably steep rise in both production and citedness and may threaten Ma-laysia’s top position in the future, and d) the Philippines is the most ef-ficient in attracting citations compared to its publication output as well as relative to its expenditures on research and development. A limitation of our study is the presence of constant values of popula-tion size, GDP, and R&D expenditure of countries even in charts showing the development of various scientometric indicators over time in a 20-year pe-riod because determining the exact values in each individual year would have been too complicated or impossible. These charts thus represent only an approximation of the true situation and may be improved in the future. Also, this study should be repeated in a few years to see if the main con-clusions are still valid.
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Pohl, H. (2020). Collaboration with countries with rapidly growing research: Supporting proactive development of international research collaboration. Scientometrics, 122(1), 287-307. https://doi.org/10.1007/s11192-019-03287-6
Prasojo, L. D., Fatmasari, R., Nurhayati, E., Darmadji, A., Kusumaningrum, F. A., & Andriansyah, Y. (2019). Indonesian state educational universities’ bibliometric dataset. Data in Brief, 22, 30-40. https://doi.org/10.1016/j.dib.2018.11.128
Purnell, P. J. (2021). Conference proceedings publications in bibliographic databases: A case study of countries in Southeast Asia. Scientometrics, 126(1), 355-387. https://doi.org/10.1007/s11192-020-03773-2
Puspitaningtyas, H., Espressivo, A., Hutajulu, S. H., Fuad, A., & Allsop, M. J. (2021). Mapping and visualization of cancer research in Indonesia: A scientometric analysis. Cancer Control, 28, 1-13. https://doi.org/10.1177/10732748211053464
Putera, P. B.,Suryanto, S., Ningrum, S., & Widianingsih, I. (2020). A bibliometric analysis of articles on innovation systems in Scopus journals written by authors from Indonesia, Singapore, and Malaysia. Science Editing, 7(2), 177-183. https://doi.org/10.6087/KCSE.214
Sirisinha, S., Koontongkaew, S., Phantumvanit, P., & Wittayawuttikul, R. (2011). Reflections on a decade of research by ASEAN dental faculties: Analysis of publications from ISI-WOS databases from 2000 to 2009. Journal of Investigative and Clinical Dentistry, 2(2), 72-80. https://doi.org/10.1111/j.2041-1626.2011.00048.x
Syamsurrijal, M., Nurmandi, A., Misran, Jubba, H., Hidayati, M., & Qodir, Z. (2021). Discussions about Covid-19 in Indonesia. Bibliometric analysis and visualization article indexed in Scopus by Indonesian authors. Communications in Computer and Information Science, 1499, 207-214. https://doi.org/10.1007/978-3-030-90179-0_27
Tantengco, O. A. G. (2021). Investigating the evolution of COVID-19 research trends and collaborations in Southeast Asia: A bibliometric analysis. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 15(6), 102325. https://doi.org/10.1016/j.dsx.2021.102325
Tantengco, O. A. G., & Rojo, R. D. (2022). Bibliometric analysis of schistosomiasis research in Southeast Asia (1908-2020). Acta Tropica, 228, 106322. https://doi.org/10.1016/j.actatropica.2022.106322
Tijjani, B., Ashiq, M., Siddique, N., Khan, M. A., & Rasul, A. (2020). A bibliometric analysis of quality research papers in Islamic finance: Evidence from Web of Science. ISRA International Journal of Islamic Finance, 13(1), 84-101. https://doi.org/10.1108/IJIF-03-2020-0056
Yin, C.-Y. (2009). Bibliometric analysis of journal articles published by Southeast Asian chemical engineering researchers. Malaysian Journal of Library and Information Science, 14(3), 1-13. https://mjlis.um.edu.my/index.php/MJLIS/article/view/6962
Main Article Content
Abstract
This article presents a scientometric analysis of 330,729 journal articles indexed in the prestigious Science Citation Index Expanded of the Web of Science database authored by researchers affiliated with institutions from five Southeast Asian countries (Indonesia, Malaysia, Philippines, Thailand, and Vietnam) and published in the first two decades of the 21st century (2001-2020). With a focus on Indonesia, we examined the scientific production of those five nations as well as the citedness of their research publications from both the static and dynamic perspectives and compared various indicators of countries in absolute and relative terms, including the socio-economic aspects of population size, gross domestic product, and research and development expenditures. The key findings are: a) the overall research production of all five countries has been growing, b) Indonesia is the weakest nation in all relative scientometric indicators except the average number of citations per paper, where it is ranked second, c) Malaysia is generally the leading nation, but Vietnam has the most remarkably positive development in both production and citedness, and d) the Philippines is extremely efficient in the mean number of citations per paper as well as per expenditure on research and development.
Keywords
Article Details
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References
Achsan, H. T. Y., Wibowo, W. C., Achsan, M. M. B., Purnama, D. G., & Lubis, K. B. (2019). The quality of Indonesian scientific articles and its neighboring countries. Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus 2019), pp. 174-178, St. Petersburg and Moscow, Russia. https://doi.org/10.1109/EIConRus.2019.8657167
Achwan, R., Ganie-Rochman, M., Alamsyah, A. R., & Triana, L. (2020). University reform and the development of social sciences in Indonesia. International Journal of Educational Development, 78, 102269. https://doi.org/10.1016/j.ijedudev.2020.102269
Akbar, I., Arisaktiwardhana, D., & Naomi, P. (2020). How does Indonesian scientific production on renewable energy successfully support the policy design? A journey towards sustainable energy transition. [W jaki sposób rozwój indonezyjskiej nauki w zakresie odnawialnych źródeł energii skutecznie wspiera projektowanie polityki? Podróż w kierunku zrównoważonej energetyki] Problemy Ekorozwoju, 15(2), 41-52. https://doi.org/10.35784/pe.2020.2.05
Arunachalam, S., & Garg, K. C. (1986). Science on the periphery — a scientometric analysis of science in the ASEAN countries. Journal of Information Science, 12(3), 105-117. https://doi.org/10.1177/016555158601200303
Ball, R., & Tunger, D. (2006). Science indicators revisited - Science Citation Index versus Scopus: A bibliometric comparison of both citation databases. Information Services and Use, 26(4), 293-301. https://doi.org/10.3233/isu-2006-26404
Bornmann, L., Marx, W., Schier, H., Rahm, E., Thor, A., & Daniel, H.-D. (2009). Convergent validity of bibliometric Google Scholar data in the field of chemistry-citation counts for papers that were accepted by Angewandte Chemie international edition or rejected but published elsewhere, using Google Scholar, Science Citation Index, Scopus, and Chemical Abstracts. Journal of Informetrics, 3(1), 27-35. https://doi.org/10.1016/j.joi.2008.11.001
Darmadji, A., Prasojo, L. D., Kusumaningrum, F. A., & Andriansyah, Y. (2018). Research productivity and international collaboration of top Indonesian universities. Current Science, 115(4), 653-658. https://doi.org/10.18520/cs/v115/i4/653-658
Hasanah, N., & Rachman, M. A. (2021). Trend of library and information science research on library and information science journals in Indonesia (2013-2019). Webology, 18(1), 233-246. https://doi.org/10.14704/WEB/V18I1/WEB18086
Hidayati, S., Franco, F. M., & Bussmann, R. W. (2015). Ready for phase 5 - current status of ethnobiology in Southeast Asia. Journal of Ethnobiology and Ethnomedicine, 11(1), 17. https://doi.org/10.1186/s13002-015-0005-7
Ibrahim, C., & Fadhli, R. (2021). Performance of Indonesia's world-class university efficiency with bibliometrics (scientific strength) approach and data envelopment analysis. Webology, 18(1), 32-50. https://doi.org/10.14704/WEB/V18I1/WEB18003
Iskandar, A., Djajasinga, N. D., Noegraha, A. D., Gatot, E., & Ahmar, A. S. (2021a). Analysis and publication profile of Indonesian scientific work in 2020 based on the Scopus database. Library Philosophy and Practice, 5298, 1-10. https://digitalcommons.unl.edu/libphilprac/5298/
Iskandar, A., Kartowagiran, B., Mansyur, Nurmawati, & Wulansari, L. (2021b). Indonesian research output on online Learning/e-learning publication using the Scopus database: A scientometric analysis. Library Philosophy and Practice, 5363, 1-7. https://digitalcommons.unl.edu/libphilprac/5363/
King, D. A. (2004). The scientific impact of nations. Nature, 430(6997), 311-316. https://doi.org/10.1038/430311a
Kumar, S., Rohani, V. A., & Ratnavelu, K. (2014). International research collaborations of ASEAN nations in economics, 1979–2010. Scientometrics, 101(1), 847-867. https://doi.org/10.1007/s11192-014-1363-y
Larsen, P. O., & von Ins, M. (2010). The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index. Scientometrics, 84(3), 575-603. https://doi.org/10.1007/s11192-010-0202-z
May, R. M. (1997). The scientific wealth of nations. Science, 275(5301), 793-796. https://doi.org/10.1126/science.275.5301.793
Nadhiroh, I. M., Hardiyati, R., Amelia, M., & Handayani, T. (2018). Mathematics and statistics related studies in Indonesia using co-authorship network analysis. International Journal of Advances in Intelligent Informatics, 4(2), 142-453. https://doi.org/10.26555/ijain.v4i2.120
Nandiyanto, A. B. D., Biddinika, M. K., & Triawan, F. (2020a). Evaluation on research effectiveness in a subject area among top class universities: A case of Indonesia's academic publication dataset on chemical and material sciences. Journal of Engineering Science and Technology, 15(3), 1747-1775. https://jestec.taylors.edu.my/Vol%2015%20issue%203%20June%202020/15_3_20.pdf
Nandiyanto, A. B. D., Biddinika, M. K., & Triawan, F. (2020b). How bibliographic dataset portrays decreasing number of scientific publication from Indonesia. Indonesian Journal of Science and Technology, 5(1), 154-175. https://doi.org/10.17509/ijost.v5i1.22265
Nguyen, T. V., & Pham, L. T. (2011). Scientific output and its relationship to knowledge economy: An analysis of ASEAN countries. Scientometrics, 89(1), 107-117. https://doi.org/10.1007/s11192-011-0446-2
Pohl, H. (2020). Collaboration with countries with rapidly growing research: Supporting proactive development of international research collaboration. Scientometrics, 122(1), 287-307. https://doi.org/10.1007/s11192-019-03287-6
Prasojo, L. D., Fatmasari, R., Nurhayati, E., Darmadji, A., Kusumaningrum, F. A., & Andriansyah, Y. (2019). Indonesian state educational universities’ bibliometric dataset. Data in Brief, 22, 30-40. https://doi.org/10.1016/j.dib.2018.11.128
Purnell, P. J. (2021). Conference proceedings publications in bibliographic databases: A case study of countries in Southeast Asia. Scientometrics, 126(1), 355-387. https://doi.org/10.1007/s11192-020-03773-2
Puspitaningtyas, H., Espressivo, A., Hutajulu, S. H., Fuad, A., & Allsop, M. J. (2021). Mapping and visualization of cancer research in Indonesia: A scientometric analysis. Cancer Control, 28, 1-13. https://doi.org/10.1177/10732748211053464
Putera, P. B., Suryanto, S., Ningrum, S., & Widianingsih, I. (2020). A bibliometric analysis of articles on innovation systems in Scopus journals written by authors from Indonesia, Singapore, and Malaysia. Science Editing, 7(2), 177-183. https://doi.org/10.6087/KCSE.214
Sirisinha, S., Koontongkaew, S., Phantumvanit, P., & Wittayawuttikul, R. (2011). Reflections on a decade of research by ASEAN dental faculties: Analysis of publications from ISI-WOS databases from 2000 to 2009. Journal of Investigative and Clinical Dentistry, 2(2), 72-80. https://doi.org/10.1111/j.2041-1626.2011.00048.x
Syamsurrijal, M., Nurmandi, A., Misran, Jubba, H., Hidayati, M., & Qodir, Z. (2021). Discussions about Covid-19 in Indonesia. Bibliometric analysis and visualization article indexed in Scopus by Indonesian authors. Communications in Computer and Information Science, 1499, 207-214. https://doi.org/10.1007/978-3-030-90179-0_27
Tantengco, O. A. G. (2021). Investigating the evolution of COVID-19 research trends and collaborations in Southeast Asia: A bibliometric analysis. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 15(6), 102325. https://doi.org/10.1016/j.dsx.2021.102325
Tantengco, O. A. G., & Rojo, R. D. (2022). Bibliometric analysis of schistosomiasis research in Southeast Asia (1908-2020). Acta Tropica, 228, 106322. https://doi.org/10.1016/j.actatropica.2022.106322
Tijjani, B., Ashiq, M., Siddique, N., Khan, M. A., & Rasul, A. (2020). A bibliometric analysis of quality research papers in Islamic finance: Evidence from Web of Science. ISRA International Journal of Islamic Finance, 13(1), 84-101. https://doi.org/10.1108/IJIF-03-2020-0056
Yin, C.-Y. (2009). Bibliometric analysis of journal articles published by Southeast Asian chemical engineering researchers. Malaysian Journal of Library and Information Science, 14(3), 1-13. https://mjlis.um.edu.my/index.php/MJLIS/article/view/6962
References
Achsan, H. T. Y., Wibowo, W. C., Achsan, M. M. B., Purnama, D. G., & Lubis, K. B. (2019). The quality of Indonesian scientific articles and its neighboring countries. Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus 2019), pp. 174-178, St. Petersburg and Moscow, Russia. https://doi.org/10.1109/EIConRus.2019.8657167
Achwan, R., Ganie-Rochman, M., Alamsyah, A. R., & Triana, L. (2020). University reform and the development of social sciences in Indonesia. International Journal of Educational Development, 78, 102269. https://doi.org/10.1016/j.ijedudev.2020.102269
Akbar, I., Arisaktiwardhana, D., & Naomi, P. (2020). How does Indonesian scientific production on renewable energy successfully support the policy design? A journey towards sustainable energy transition. [W jaki sposób rozwój indonezyjskiej nauki w zakresie odnawialnych źródeł energii skutecznie wspiera projektowanie polityki? Podróż w kierunku zrównoważonej energetyki] Problemy Ekorozwoju, 15(2), 41-52. https://doi.org/10.35784/pe.2020.2.05
Arunachalam, S., & Garg, K. C. (1986). Science on the periphery — a scientometric analysis of science in the ASEAN countries. Journal of Information Science, 12(3), 105-117. https://doi.org/10.1177/016555158601200303
Ball, R., & Tunger, D. (2006). Science indicators revisited - Science Citation Index versus Scopus: A bibliometric comparison of both citation databases. Information Services and Use, 26(4), 293-301. https://doi.org/10.3233/isu-2006-26404
Bornmann, L., Marx, W., Schier, H., Rahm, E., Thor, A., & Daniel, H.-D. (2009). Convergent validity of bibliometric Google Scholar data in the field of chemistry-citation counts for papers that were accepted by Angewandte Chemie international edition or rejected but published elsewhere, using Google Scholar, Science Citation Index, Scopus, and Chemical Abstracts. Journal of Informetrics, 3(1), 27-35. https://doi.org/10.1016/j.joi.2008.11.001
Darmadji, A., Prasojo, L. D., Kusumaningrum, F. A., & Andriansyah, Y. (2018). Research productivity and international collaboration of top Indonesian universities. Current Science, 115(4), 653-658. https://doi.org/10.18520/cs/v115/i4/653-658
Hasanah, N., & Rachman, M. A. (2021). Trend of library and information science research on library and information science journals in Indonesia (2013-2019). Webology, 18(1), 233-246. https://doi.org/10.14704/WEB/V18I1/WEB18086
Hidayati, S., Franco, F. M., & Bussmann, R. W. (2015). Ready for phase 5 - current status of ethnobiology in Southeast Asia. Journal of Ethnobiology and Ethnomedicine, 11(1), 17. https://doi.org/10.1186/s13002-015-0005-7
Ibrahim, C., & Fadhli, R. (2021). Performance of Indonesia's world-class university efficiency with bibliometrics (scientific strength) approach and data envelopment analysis. Webology, 18(1), 32-50. https://doi.org/10.14704/WEB/V18I1/WEB18003
Iskandar, A., Djajasinga, N. D., Noegraha, A. D., Gatot, E., & Ahmar, A. S. (2021a). Analysis and publication profile of Indonesian scientific work in 2020 based on the Scopus database. Library Philosophy and Practice, 5298, 1-10. https://digitalcommons.unl.edu/libphilprac/5298/
Iskandar, A., Kartowagiran, B., Mansyur, Nurmawati, & Wulansari, L. (2021b). Indonesian research output on online Learning/e-learning publication using the Scopus database: A scientometric analysis. Library Philosophy and Practice, 5363, 1-7. https://digitalcommons.unl.edu/libphilprac/5363/
King, D. A. (2004). The scientific impact of nations. Nature, 430(6997), 311-316. https://doi.org/10.1038/430311a
Kumar, S., Rohani, V. A., & Ratnavelu, K. (2014). International research collaborations of ASEAN nations in economics, 1979–2010. Scientometrics, 101(1), 847-867. https://doi.org/10.1007/s11192-014-1363-y
Larsen, P. O., & von Ins, M. (2010). The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index. Scientometrics, 84(3), 575-603. https://doi.org/10.1007/s11192-010-0202-z
May, R. M. (1997). The scientific wealth of nations. Science, 275(5301), 793-796. https://doi.org/10.1126/science.275.5301.793
Nadhiroh, I. M., Hardiyati, R., Amelia, M., & Handayani, T. (2018). Mathematics and statistics related studies in Indonesia using co-authorship network analysis. International Journal of Advances in Intelligent Informatics, 4(2), 142-453. https://doi.org/10.26555/ijain.v4i2.120
Nandiyanto, A. B. D., Biddinika, M. K., & Triawan, F. (2020a). Evaluation on research effectiveness in a subject area among top class universities: A case of Indonesia's academic publication dataset on chemical and material sciences. Journal of Engineering Science and Technology, 15(3), 1747-1775. https://jestec.taylors.edu.my/Vol%2015%20issue%203%20June%202020/15_3_20.pdf
Nandiyanto, A. B. D., Biddinika, M. K., & Triawan, F. (2020b). How bibliographic dataset portrays decreasing number of scientific publication from Indonesia. Indonesian Journal of Science and Technology, 5(1), 154-175. https://doi.org/10.17509/ijost.v5i1.22265
Nguyen, T. V., & Pham, L. T. (2011). Scientific output and its relationship to knowledge economy: An analysis of ASEAN countries. Scientometrics, 89(1), 107-117. https://doi.org/10.1007/s11192-011-0446-2
Pohl, H. (2020). Collaboration with countries with rapidly growing research: Supporting proactive development of international research collaboration. Scientometrics, 122(1), 287-307. https://doi.org/10.1007/s11192-019-03287-6
Prasojo, L. D., Fatmasari, R., Nurhayati, E., Darmadji, A., Kusumaningrum, F. A., & Andriansyah, Y. (2019). Indonesian state educational universities’ bibliometric dataset. Data in Brief, 22, 30-40. https://doi.org/10.1016/j.dib.2018.11.128
Purnell, P. J. (2021). Conference proceedings publications in bibliographic databases: A case study of countries in Southeast Asia. Scientometrics, 126(1), 355-387. https://doi.org/10.1007/s11192-020-03773-2
Puspitaningtyas, H., Espressivo, A., Hutajulu, S. H., Fuad, A., & Allsop, M. J. (2021). Mapping and visualization of cancer research in Indonesia: A scientometric analysis. Cancer Control, 28, 1-13. https://doi.org/10.1177/10732748211053464
Putera, P. B., Suryanto, S., Ningrum, S., & Widianingsih, I. (2020). A bibliometric analysis of articles on innovation systems in Scopus journals written by authors from Indonesia, Singapore, and Malaysia. Science Editing, 7(2), 177-183. https://doi.org/10.6087/KCSE.214
Sirisinha, S., Koontongkaew, S., Phantumvanit, P., & Wittayawuttikul, R. (2011). Reflections on a decade of research by ASEAN dental faculties: Analysis of publications from ISI-WOS databases from 2000 to 2009. Journal of Investigative and Clinical Dentistry, 2(2), 72-80. https://doi.org/10.1111/j.2041-1626.2011.00048.x
Syamsurrijal, M., Nurmandi, A., Misran, Jubba, H., Hidayati, M., & Qodir, Z. (2021). Discussions about Covid-19 in Indonesia. Bibliometric analysis and visualization article indexed in Scopus by Indonesian authors. Communications in Computer and Information Science, 1499, 207-214. https://doi.org/10.1007/978-3-030-90179-0_27
Tantengco, O. A. G. (2021). Investigating the evolution of COVID-19 research trends and collaborations in Southeast Asia: A bibliometric analysis. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 15(6), 102325. https://doi.org/10.1016/j.dsx.2021.102325
Tantengco, O. A. G., & Rojo, R. D. (2022). Bibliometric analysis of schistosomiasis research in Southeast Asia (1908-2020). Acta Tropica, 228, 106322. https://doi.org/10.1016/j.actatropica.2022.106322
Tijjani, B., Ashiq, M., Siddique, N., Khan, M. A., & Rasul, A. (2020). A bibliometric analysis of quality research papers in Islamic finance: Evidence from Web of Science. ISRA International Journal of Islamic Finance, 13(1), 84-101. https://doi.org/10.1108/IJIF-03-2020-0056
Yin, C.-Y. (2009). Bibliometric analysis of journal articles published by Southeast Asian chemical engineering researchers. Malaysian Journal of Library and Information Science, 14(3), 1-13. https://mjlis.um.edu.my/index.php/MJLIS/article/view/6962