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Decades after the fall of the Iron Curtain, medical research in Russia remains poorly integrated into global science. In this study, we analyze the evolution of Russian medical research presence in international journals in recent years and examine the role of international collaboration in driving this change. We collected data from various sources, including Web of Science, Scopus, and Medline. While articles in international journals still constitute a smaller proportion of all Russian medical publications, their representation has significantly increased in recent years. Articles in high-impact journals now comprise approximately one-third of the total output. International cooperation emerges as a key factor behind top-level Russian medical publications, with international coauthorship playing a particularly significant role in high-impact journals, where 70% of Russian-authored publications include foreign co-authors. It is noteworthy that Russian authors are rarely designated as corresponding authors, suggesting a limited leadership role in project teams, especially, regarding research published in the most prestigious publications. Additionally, Russian scientists produce a notably low number of non-collaborative papers that later achieve high citation rates. Given that 81% of the most productive authors participate in international projects and the recent suspension of many ties and collaborations with foreign scientists, we expect a significant decline in Russia’s presence in core medical journals in the near future.

We investigated trends in biological control to both capture its evolution and explore future opportunities. We examined recent changes in public interest, international networking and peer-reviewed research. A Google Trends analysis revealed that the popularity of biological control is decreasing in terms of search hits on the internet. This trend is potentially worrying for the biological control community, given that public interest tends to drive political decisions regarding regulatory processes and governmental funding of research. To examine patterns of international collaboration, we established the list of authors who published their work in the three main biological control journals from the early 1990s to 2016. International co-authorship has intensified and the biological control sector is increasingly characterized by multilateral collaboration. We surveyed papers published in BioControl and Biological Control over the last 25 years to identify research trends with respect to target pests, commodities, biological control agents and biological control approaches. Finally, we report that articles on biological control are published in the broad-based scientific journals Science and Nature on a regular basis. This reflects contributions that biological control research makes to scientific discussions in general. Our analyses revealed a thriving scientific discipline with several major research trends in arthropod, plant pathogen and weed biological control.

A number of new metrics based on social media platforms--grouped under the term \"altmetrics\"--have recently been introduced as potential indicators of research impact. Despite their current popularity, there is a lack of information regarding the determinants of these metrics. Using publication and citation data from 1.3 million papers published in 2012 and covered in Thomson Reuters' Web of Science as well as social media counts from Altmetric.com, this paper analyses the main patterns of five social media metrics as a function of document characteristics (i.e., discipline, document type, title length, number of pages and references) and collaborative practices and compares them to patterns known for citations. Results show that the presence of papers on social media is low, with 21.5% of papers receiving at least one tweet, 4.7% being shared on Facebook, 1.9% mentioned on blogs, 0.8% found on Google+ and 0.7% discussed in mainstream media. By contrast, 66.8% of papers have received at least one citation. Our findings show that both citations and social media metrics increase with the extent of collaboration and the length of the references list. On the other hand, while editorials and news items are seldom cited, it is these types of document that are the most popular on Twitter. Similarly, while longer papers typically attract more citations, an opposite trend is seen on social media platforms. Finally, contrary to what is observed for citations, it is papers in the Social Sciences and humanities that are the most often found on social media platforms. On the whole, these findings suggest that factors driving social media and citations are different. Therefore, social media metrics cannot actually be seen as alternatives to citations; at most, they may function as complements to other type of indicators.

We analysed publication and citation data for 36 nations, along with government expenditures on science. We found that although government spending on research and development (R&D) does correlate with the number of publications produced, it does not correlate with scientific impact - at least as assessed by citations, one of the few practical metrics available. What does correlate with impact is a country's openness, which we approximated by combining metrics of international co-authorship and the mobility of each nation's research workforce.

The aim of this study is to analyze the evolution of international research collaboration from 1980 to 2021. The study examines the main global patterns as well as those specific to individual countries, country groups, and different areas of research.The study is based on the Web of Science Core collection database. More than 50 million publications are analyzed using co-authorship data. International collaboration is defined as publications having authors affiliated with institutions located in more than one country.At the global level, the share of publications representing international collaboration has gradually increased from 4.7% in 1980 to 25.7% in 2021. The proportion of such publications within each country is higher and, in 2021, varied from less than 30% to more than 90%. There are notable disparities in the temporal trends, indicating that the process of internationalization has impacted countries in different ways. Several factors such as country size, income level, and geopolitics may explain the variance.Not all international research collaboration results in joint co-authored scientific publications. International co-authorship is a partial indicator of such collaboration. Another limitation is that the applied full counting method does not take into account the number of authors representing in each country in the publication.The study provides global averages, indicators, and concepts that can provide a useful framework of reference for further comparative studies of international research collaboration.Long-term macro-level studies of international collaboration are rare, and as a novelty, this study includes an analysis by the World Bank’s division of countries into four income groups.

In 2015, the UN adopted the Sustainable Development Goals (SDGs), addressing social, environmental, and economic targets. Global partnerships, transnational, and interdisciplinary research are essential for achieving progress towards the SDGs. This study analyzes 4593 research articles at the meta-level, explicitly referring to the SDGs. This a comparably small amount of research items directly addressing the goals. However, comparisons with existing approaches using different queries are possible. Research that links to the SDGs through its title, keywords, or abstract facilitates knowledge sharing on the goals as it is easier to identify relevant work. Using scientometric means, we assessed the corresponding sources, research areas, affiliated countries, thematic foci, and the availability of funding acknowledgments. The results are useful for identifying research gaps and potential collaboration possibilities. The outcomes suggest that most research referring to the SDGs comes from the research areas Life Sciences & Biomedicine and Social Sciences. The most predominant SDG among the analyzed research articles is SDG 3 (“good health and well-being”). A relatively high share of open access articles contributes to the idea of knowledge sharing for the SDGs. Nearly 37% of all articles count as international publications, i.e., as being co-authored by authors from affiliations of multiple countries.

With the environmental and societal changes, the achievement of sustainable development goals (SDGs) and the realization of sustainability in general is now more important than ever. Through a bibliometric analysis and scientific mapping analysis, this study aims to explore and provide a review regarding the role of artificial intelligence (AI), the Internet of Things (IoT), and artificial intelligence of things (AIoT) in realizing sustainable development and achieving SDGs. AIoT can be defined as the combination of AI with IoT to create more efficient and data-driven interconnected, intelligent, and autonomous IoT systems and infrastructure that use AI methods and algorithms. The analysis involved 9182 documents from Scopus and Web of Science (WoS) from 1989 to 2022. Descriptive statistics of the related documents and the annual scientific production were explored. The most relevant and impactful authors, articles, outlets, affiliations, countries, and keywords were identified. The most popular topics and research directions throughout the years and the advancement of the field and the research focus were also examined. The study examines the results, discusses the main findings, presents open issues, and suggests new research directions. Based on the results of this study, AIoT emerged as an important contributor in ensuring sustainability and in achieving SDGs.

The number of published scientific paper grows rapidly each year, totaling more than 2.9 million annually. New methodologies and systems have been developed to analyze scientific production and performance indicators from large quantities of data available from the scientific databases, such as Web of Science or Scopus. In this paper, we analyzed the international scientific production and co-authorship patterns for the most productive authors from Serbia based on the obtained Web of Science dataset in the period 2006–2013. We performed bibliometric and scientometric analyses together with statistical and collaboration network analysis, to reveal the causes of extraordinary publishing performance of some authors. For such authors, we found significant inequality in distribution of papers over journals and countries of co-authors, using Gini coefficient and Lorenz curves. Most of the papers belong to multidisciplinary, interdisciplinary, and the field of applied sciences. We have discovered three specific collaboration patterns that lead to high productivity in international collaboration. First pattern corresponds to mega-authorship papers with hundreds of co-authors gathered in specific research groups. The other two collaboration patterns were found in mathematics and multidisciplinary science, mainly application of graph theory and computational methods in physical chemistry. The former pattern results in a star-shaped collaboration network with mostly individual collaborators. The latter pattern includes multiple actors with high betweenness centrality measure and identified brokerage roles. The results are compared with the later period 2014–2023, where high scientific production has been observed in some other fields, such as biology and food science and technology.

Recent advancements in bibliometrics have explored various academic dynamics like career peaks and citation impacts, with political science research highlighting gender disparities and co-authorship trends that vary by region. However, these studies often focus on Western contexts, missing contributions from non-Western regions, which underscores the need for expanding research to include multilingual publishing practices and diverse global perspectives to better understand the internationalization of the Social Sciences and Humanities. This study focuses on the internationalization trajectories of political science in Japan, specifically examining the publishing practices of Japanese political scientists in both English and Japanese. The study reveals a generational shift in which younger scientists, especially those working abroad, are increasingly publishing in English. This shift towards publishing in English contrasts with the practices of those working in Japan, who predominantly publish in Japanese and have not significantly adopted co-authorship. This article notes a decline in book publications in both English and Japanese among Japanese political scientists. This trend indicates a broader preference for peer-reviewed articles over books, driven by professional pressures in Japan. The study uses descriptive statistics, text analysis, network analysis, and qualitative analysis to explore these trends, highlighting the influence of internationalization on Japanese political science publication strategies.

The democracy-science relationship has traditionally been examined through philosophical conjecture and country case studies. There remains limited global-scale empirical research on the topic. This study explores country-level factors related to the dynamics of the global research collaboration network, focusing on structural associations between democratic governance and the strength of international research collaboration ties. This study combines longitudinal data on 170 countries between 2008 and 2017 from the Varieties of Democracy Institute, World Bank Indicators, Scopus, and Web of Science bibliometric data. Methods include descriptive network analysis, temporal exponential random graph models (TERGM), and valued exponential random graph models (VERGM). The results suggest significant positive effects of democratic governance on the formation and strength of international research collaboration ties and homophily between countries with similar levels of democratic governance. The results also show the importance of exogenous factors, such as GDP, population size, and geographical distance, as well as endogenous network factors, including preferential attachment and transitivity.