Patterns Of International Collaboration Research Articles

Health and medical informatics research: Identifying international collaboration patterns at the country and institution level

Health and medical informatics research: Identifying international collaboration patterns at the country and institution level

Global trends in acupuncture research: A scientometric analysis from 1980 to 2023.

The objective of this study was to examine articles on acupuncture from past to present, revealing prevalent research trends, showcasing global productivity, identifying international collaborations, and highlighting influential publications and journals in the field. We acquired a comprehensive dataset comprising 9340 articles pertaining to acupuncture that were published within the time frame spanning from 1980 to 2023. These articles were sourced from the Web of Science and underwent rigorous analysis through a diverse set of bibliometric techniques. Our analytical approaches encompassed trend keyword analysis, thematic evolution analysis, conceptual structure analysis, factor analysis, citation and co-citation analyses, as well as an exploration of international collaboration patterns. The 3 most productive countries were China (n = 3357), the USA (n = 1351), and South Korea (n = 814). The 3 most productive journals were Acupuncture in Medicine (n = 440), Evidence Based Complementary and Alternative Medicine (n = 415), and Medical Acupuncture (n = 400). The 3 journals with the highest h-index on acupuncture were the Journal of Alternative and Complementary Medicine (h = 45), Pain (h = 41), and the American Journal of Chinese Medicine (h = 35). The most active author was Park Hi-Joon (n = 128). According to the findings of the factor analysis, acupuncture literature was grouped around 3 main subfactors. The primary factor encompassed topics related to the effectiveness/applicability of the treatment method for various medical conditions and general principles of acupuncture methods and points. The second factor covered topics related to mental health and quality of life. The third subfactor addressed the qualitative and quantitative analysis direction of acupuncture, such as meta-analysis and systematic reviews, and randomized controlled trials. From the past to the present, the most extensively researched main topics in acupuncture literature have covered a wide range of subjects. Prominent themes among these topics included acupuncture methods and applications, pain management, the nervous system and acupuncture, mental health and acupuncture, quality of life, and general health. In recent years, emerging trends in acupuncture research have focused on neurological health issues, oncology and cancer treatment, women's health and hormonal issues, sleep problems, digestive issues, and studies related to the quantitative and qualitative evaluation of acupuncture research.

Mapping the Future of Innovation: A Bibliometric Analysis of STEM Education Trends in K-12

With the increasing global emphasis on science, technology, engineering, and mathematics (STEM) education, it is crucial to systematically assess research trends and thematic developments in this field. This paper utilizes bibliometric analysis to examine the scholarly landscape of K-12 STEM education, analyzing 2,645 articles from the Web of Science Core Collection between 2019 and 2023. By analyzing citation metrics, author productivity, institutional and country contributions, and exploring word co-occurrence networks, the study identifies predominant themes and patterns in the field. The findings reveal that advanced countries dominate STEM education research, reflecting significant scholarly interest and investment. The analysis also highlights the role of technological advancements and educational reforms in shaping research trajectories. Additionally, a robust pattern of international collaboration is uncovered, where strategic partnerships across diverse institutions utilize multidisciplinary approaches to effectively address educational challenges. The study suggests the need to broaden research databases to include non-English sources and extend analysis over longer periods for a better understanding of evolving trends. Furthermore, the study recommends embracing interdisciplinary methods and integrating emerging technologies to enhance teaching practices.

Mapping the landscape of medical research in the Arab world countries: A comprehensive bibliometric analysis.

To describe the productivity, performance, and impact of medical research in the Arab world countries. We carried out a bibliometric analysis using Clarivate Analytics databases from January 2017 to March 2023. We reported research productivity, national and international research collaboration patterns, impact of Arab medical research output compared to the global average, top medical journals publishing Arab-affiliated research, and performance of the most productive Arab institutions. The Arab world contributed 2.72% to global medical research publication, with a citation impact of 11.98 compared to the global impact of 12.02. Qatar, Lebanon, and Saudi Arabia led medical research publications per million population among Arab countries, ranking 26th, 36th, and 37th globally. Medical research publications increased by 87% annually from 2017-2022, with 70% of research originating from Saudi Arabia and Egypt. National collaborations accounted for 15% of Arab world publications, while international collaborations represented 66%. The median impact factor across the top 20 medical journals with Arab-affiliated authors was 5.14, with 50% being quartile one journals. The top 10 Arab-origin medical journals had a median impact factor of 3.13. Approximately 80% of the top 20 Arab institutions were academic, with a median publication count of 3,162.5 and a median citation impact of 14.5. The study provides insights into the state of medical research in the Arab countries, indicating room for improvement in the region's medical research.

Exploring the impact of geopolitics on the environmental Kuznets curve research

AbstractEnvironmental Kuznets curve (EKC) is one of the key theories of economic and environmentally sustainable development. Has the change in geopolitics in recent years affected the international collaboration in the study of the EKC? Based on the publications on the EKC included in the Web of Science, a case study of recent changes in China–US collaboration on the EKC is conducted to explore the impact of geopolitical changes on international collaborative research on sustainable development. The results show that (1) The EKC is a global study, and countries around the world have made more efforts, among which China, the United States, Turkey, Malaysia, England and other countries have made the most contributions in the global literature database and are the countries with the most development potential in this field. (2) International collaboration between China and the United States in this field has gradually increased, and scientific research collaboration between the two countries has increased under the influence of geopolitical conflicts, and collaboration has shown the characteristics of lasting stability. (3) China and the United States exhibit divergent international collaboration patterns, with Pakistan being China's foremost partner in this domain, while China serves as the US’ primary collaborator. Furthermore, China demonstrates a significantly higher volume of independently published works compared with the United States, highlighting the strengthening of China's scientific research capabilities. The number of countries collaborating internationally with China shows a different upward trend than in the United States across the three data sets set in this paper. (4) In the field of EKC hot research, China and the United States have maintained good international partnerships with other countries, and are the preferred countries for scientific research collaboration in other countries in the world. It can be seen from this that international scientific research collaboration for sustainable development represented by the EKC has shown relative stability, and geopolitical changes have not had a significant impact on international collaborative research for sustainable development.

Simple models for neuroscience research discoveries: how often are these models used in Africa?

Background: Simple animal model systems such as Drosophila, Caenorhabditis Elegans and Zebrafish have enabled numerous breakthroughs in understanding human health and disease. Owing to their cheap maintenance cost, adopting these model systems will improve research in Africa. However, the extent to which these models are used across Africa is unknown. This study aimed to identify how often these models are used in Africa. Methods: We downloaded all the PUBMED-indexed publications from the year 2000 to 2021 that have an African affiliation and have mentioned Drosophila, C. elegans or Zebrafish. We manually curated the information on the experimental use of these model systems, author affiliations and details of funding from research publications. Descriptive statistics was used to describe the major hotspots for the use of the model systems and funders, and the pattern of local and international collaborations. Results: Of the 1851 publications in which at least one of the models was mentioned, only 168 used at least one for the actual investigation. With an average of 21 articles per country, South Africa, Nigeria, Kenya, Egypt, Morocco, and Tunisia contributed 75% of these studies. The remaining 25% were contributed by seven other countries. Analysis of funding information revealed that 24.4% of the studies were exclusively locally funded, 28.57% exclusively internationally funded, 15.5% received both local and international funding, and the rest (31.5%) were unfunded, revealing that there is satisfactory access to funds for simple animal model studies, especially from external funders. By analysing the pattern of collaborations, we show that collaborations with researchers from other continents predominate over intra-Africa collbaorations. Conclusions: Our work provides data on the current state of research using simple model systems in African laboratories and argues that incorporating these models will advance biomedical science research in Africa.

Measuring and characterizing international collaboration patterns in Indian scientific research

Measuring and characterizing international collaboration patterns in Indian scientific research

International research collaboration between South Africa and rest of the world: An analysis of 2012–2021 trends

South African higher education policies have since 1997 called for the expansion of research collaboration with the African continent and Global South. In this article, the authors’ analysed South Africa’s international research collaboration trends and patterns during the 2012–2021 period. Focusing on co-authored scholarly publications, the authors’ analysed bibliometric data from Scopus, highlighting the countries South African public universities have collaborated and produced knowledge with, and the parts of the world they have neglected in the past decade. The findings highlight the growth of South Africa’s international research collaboration and the expansion of the number of countries universities collaborate with. While the past decade has seen a growth in research collaboration with Brazil, Russia, India, China and Nigeria, South African universities continue to be largely Eurocentric and prioritise collaboration with the Global North while sidelining research collaboration with the African continent and Global South.Contribution: The findings presented in this article contribute to an understanding of South Africa’s international research collaboration footprint during 2012–2021 and highlight which parts of the world should be prioritised by universities in the expansion of research collaboration in the future.

Transformation of the Academy of Sciences: From Science in Society to the Responsible Science for Society

The radical changes in the 1990s, including the more or less steep decrease in its financing, initiated major reforms of the Czech Academy of Sciences (CAS). The differences between the CAS and the other RD sectors consisted in the extent of financial threats posed to them and in coping strategies, personnel reductions, forms of institutional transformation, support of basic and applied research, engagement of business and enterprise sector in research activities, and new patterns of international collaboration in research. The transition process involves more stages; its developments up to now have resulted not only in institutional changes, plurality of financial sources, new methodology and procedures of science assessment, but also in the contemporary goal-directed programme “Strategy CAS21 - Top Research in the Public Interest”. This new concept addresses ideas of what are called “Responsible Research and Innovation” and “Science for Society”.

Twenty Years of Entrepreneurship and Innovation Research: A Bibliometric Analysis

The present study attempts to provide a bibliometric analysis of the research conducted on entrepreneurship and innovation. Utilising the Scopus database, a total of 1,103 papers, published from the year 1999 to 2018, have been analysed in this study. A classification of these papers is presented further on the basis of important journals, papers with maximum citations, year-wise publication trends, subject-wise distribution, most productive countries and institutions, and eminent authors. Further, the VOSviewer software is utilised for providing a co-authorship analysis, international collaboration patterns, keywords co-occurrences analysis, co-citation analysis and bibliographic coupling analysis. The results show that the research on this area has been rapidly growing; the maximum papers have been contributed by developed countries such as the USA, UK and China. Furthermore, the most cited paper is about entrepreneurship, innovation and economic growth, and the maximum research has been carried out in the subject areas of business, management and accounting.

International scientific collaboration of post-Soviet countries: a bibliometric analysis

One of the major characteristics of research is the role and scope of international collaboration. Patterns of such collaboration are often complex and determined not only by pure academic rationale, but also by political, economic, geographic and cultural factors. The post-Soviet region has several features, which make it a unique unit for analysis of scientific collaboration. Based on bibliometric data for the period 1993–2018 with a 5-year lag, we analyze how international collaboration patterns of post-Soviet countries changed after the collapse of the Soviet Union. Our results show that in the observed period post-Soviet countries significantly changed their patterns of international collaboration, and these changes are country-specific. The analyzed countries moved away from each other, choosing their own international collaboration strategy. We observe a dramatic decrease in scientific collaboration between post-Soviet countries and a significant growth of collaboration with Western countries. With that, the role of post-Soviet countries in international collaboration declined rapidly for many countries.

Marketing and branding strategy for the South Baltic Sea Region: reinforcing regional innovation in SMEs through cross-border collaboration models in the age of transformation

South Baltic Sea Region (SBSR) is one of the EU cross-border regions that due to the patchy development patterns qualifies for EU financial support reinforcing innovation capacity and promoting collaborative and competitive mindset. Historically shaped by international collaboration patterns across the Baltic Sea, the SBSR turns into maritime or blue EU region. Being an integral part of the Baltic Sea Region (BSR) that has developed as role model for sustainable, green and smart region in the recent years, SBSR experiences increasing pace of change and the urge for sustainable transition. This creates a real conundrum for appropriate regional action. In this light, in the frame of the “InterMarE South Baltic” – a part-financed EU INTERREG project the researchers set out to contribute to situational improvement by developing tailor-made cooperative and region-wide Marketing and Banding Strategy for regional SMEs of all Blue Economy sectors. A joint macro-regional positioning strategy for the SBSR is highly missing and available strategic attempts can be traced back to joint marketing measures in the tourism sector only. Therefore, building on eclectic empirical data covering more than 130 surveyed SMEs from all participating countries – Denmark, Germany, Lithuania, Poland and Sweden, supported by expert interviews with representatives of Blue Economy sectors in the SBSR and BSR, direct observations and field research done in the frame of study visits outside the region, this treatise presents an innovative, integrative and topical cooperative model for joint cross-border marketing and branding of SMEs operating in the SBSR in all applicable Blue Economy sectors.

Social network analysis and data visualization of MIS international collaboration in Taiwan

PurposeThe purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.Design/methodology/approachThe authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.FindingsThe authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.Originality/valueThis study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

COLLNET Journal of Scientometrics and information Management : A bibliometric study

This study presents a bibliometric analysis of 267 papers published in 13 volumes (2007-2019) in COLLNET Journal of Scientometrics and Information Management (CJSIM). The analysis examines the chronological distribution of output and the geographical distribution of contributions, identified prolific institutions and prolific authors and examined their impact in terms of Citation per Paper (CPP) and Papers not Cited (PnC). Besides these, the study also examined the pattern of citations, identified highly cited papers, pattern of domestic and international collaboration. Findings of the study indicate that the growth of articles is inconsistent with highest number of papers published in the year 2014 and lowest in the year 2007. The output was scattered among 41 countries, of which 12 prolific countries contributed 80.8 % of the total output. Among the prolific 12 countries India ranked first with 31.8% of papers. Among the institutions, Dalian University of Technology (China) topped the list. Pattern of domestic and international collaboration indicates that 79 papers were published in domestic collaboration and 48 papers in international collaboration. Among all countries, India had the highest share of domestically collaborative papers and China had the highest number of internationally collaborative papers.

Bibliometric Study of World COVID-19 Publication Output

The COVID-19 outbreak originating in Wuhan, Hubei province, China, coincided with chunky, the period of mass migration for the annual Spring Festival. To contain its spread, China adopted unprecedented nationwide interventions on January 23, 2020. These policies included large-scale quarantine, strict controls on travel, and extensive monitoring of suspected cases. However, it is unknown whether these policies have had an impact on the epidemic. We sought to show how these control measures impacted the containment of the epidemic. Web of Science database was searched on September 10, 2020, for COVID-19 publications published between 2019 to 2020. It was performed on the same day to avoid the possible bias from an update on the database because the metrics are changing over time. All publication types were considered; however, publications as errata were excluded. Analysis parameters include a year of publication, publication type, patterns of international collaboration, research institutions, journals, impact factor, h-index, language, and times cited. A total of 17,133 COVID-19 research publications were published across the world. The (COVID-19) associated publications were originated from 25 countries/ territories, indicating the international spread of Corona virus COVID-19 research. The USA was the largest contributor, with 4767 (27.823%) articles published, followed by Peoples R China (2747 (16.033%)) articles.

Bibliometric Study of CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT) during 1990–2019

The study examines the pattern of growth of papers published by CSIR-Institute of Himalayan Bioresource Technology (IHBT) during 1990-2019; identifies most prolific authors and their citation impact, communication pattern of scientists in terms of journal publishing country and impact factor of these journals as well as the pattern of domestic and international collaboration. Analysis of data indicates a consistent growth of output during the study period except a decline in 2019-2020. Publications appeared in journals published from the advanced countries of the West and more than half of the papers were published in medium, high and very high impact factor journals. The output is highly scattered in terms of journal publication as one-third of the papers were published in 28 journals. Only about 8% papers remained uncited and rest were cited one or more times. Of the 20 highly cited papers, six women scientists acted as first author. The study found that more than half of the papers were published in domestic and international collaboration. USA was the most collaborating country and academic institutions were found to be most domestic collaborating institutions in India as well as abroad. Among all the Indian institutions, Guru Nanak Dev University (Amritsar) was most collaborating domestic institution and University of Vienna, Austria from abroad.

Exploring the changing geographical pattern of international scientific collaborations through the prism of cities.

Science is becoming increasingly international in terms of breaking down walls in its pursuit of high impact. Despite geographical location and distance still being major barriers for scientific collaboration, little is known about whether high-impact collaborations are similarly constrained by geography compared to collaborations of average impact. To address this question, we analyze Web of Science (WoS) data on international collaboration between global leader cities in science production. We report an increasing intensity of international city-city collaboration and find that average distance of collaboration of the strongest connections has slightly increased, but distance decay has remained stable over the last three decades. However, high-impact collaborations span large distances by following similar distance decay. This finding suggests that a larger geographical reach of research collaboration should be aimed for to support high-impact science. The creation of the European Research Area (ERA) represents an effective action that has deepened intracontinental research collaborations and the position of the European Union (EU) in global science. Yet, our results provide new evidence that global scientific leaders are not sufficiently collaborative in carrying out their big science projects.

Scientific Collaboration on COVID-19 Amidst Geopolitical Tensions between the US and China

ABSTRACT As the threat of COVID-19 and US-China tensions are increasing, this study focused on this intensifying intersection between geopolitics and global science in the midst of a pandemic. This scientometric study examined the US’ and China’s international collaboration patterns on science and engineering (S&E) COVID-19 articles through the lenses of scientific nationalism and scientific globalism. While scientific nationalism would assume that the current political rhetoric and protectionist policies would lead to a decrease in international collaboration, our findings showed the reverse. The world’s proportion of international collaborations generally increased. Findings also revealed that despite geopolitical tensions, the highest number of internationally coauthored S&E COVID-19 articles between two countries involve the US and China. Their collaboration rate on COVID-19 is higher than during the past five-years as well as on non-COVID-19 articles published during 2020.

Global Collaboration in Artificial Intelligence: Bibliometrics and Network Analysis from 1985 to 2019

Abstract Purpose This study aims to explore the trend and status of international collaboration in the field of artificial intelligence (AI) and to understand the hot topics, core groups, and major collaboration patterns in global AI research. Design/methodology/approach We selected 38,224 papers in the field of AI from 1985 to 2019 in the core collection database of Web of Science (WoS) and studied international collaboration from the perspectives of authors, institutions, and countries through bibliometric analysis and social network analysis. Findings The bibliometric results show that in the field of AI, the number of published papers is increasing every year, and 84.8% of them are cooperative papers. Collaboration with more than three authors, collaboration between two countries and collaboration within institutions are the three main levels of collaboration patterns. Through social network analysis, this study found that the US, the UK, France, and Spain led global collaboration research in the field of AI at the country level, while Vietnam, Saudi Arabia, and United Arab Emirates had a high degree of international participation. Collaboration at the institution level reflects obvious regional and economic characteristics. There are the Developing Countries Institution Collaboration Group led by Iran, China, and Vietnam, as well as the Developed Countries Institution Collaboration Group led by the US, Canada, the UK. Also, the Chinese Academy of Sciences (China) plays an important, pivotal role in connecting the these institutional collaboration groups. Research limitations First, participant contributions in international collaboration may have varied, but in our research they are viewed equally when building collaboration networks. Second, although the edge weight in the collaboration network is considered, it is only used to help reduce the network and does not reflect the strength of collaboration. Practical implications The findings fill the current shortage of research on international collaboration in AI. They will help inform scientists and policy makers about the future of AI research. Originality/value This work is the longest to date regarding international collaboration in the field of AI. This research explores the evolution, future trends, and major collaboration patterns of international collaboration in the field of AI over the past 35 years. It also reveals the leading countries, core groups, and characteristics of collaboration in the field of AI.

Consolidation in a crisis: Patterns of international collaboration in early COVID-19 research.

This paper seeks to understand whether a catastrophic and urgent event, such as the first months of the COVID-19 pandemic, accelerates or reverses trends in international collaboration, especially in and between China and the United States. A review of research articles produced in the first months of the COVID-19 pandemic shows that COVID-19 research had smaller teams and involved fewer nations than pre-COVID-19 coronavirus research. The United States and China were, and continue to be in the pandemic era, at the center of the global network in coronavirus related research, while developing countries are relatively absent from early research activities in the COVID-19 period. Not only are China and the United States at the center of the global network of coronavirus research, but they strengthen their bilateral research relationship during COVID-19, producing more than 4.9% of all global articles together, in contrast to 3.6% before the pandemic. In addition, in the COVID-19 period, joined by the United Kingdom, China and the United States continued their roles as the largest contributors to, and home to the main funders of, coronavirus related research. These findings suggest that the global COVID-19 pandemic shifted the geographic loci of coronavirus research, as well as the structure of scientific teams, narrowing team membership and favoring elite structures. These findings raise further questions over the decisions that scientists face in the formation of teams to maximize a speed, skill trade-off. Policy implications are discussed.