{"title":"A large-scale temporal analysis of scientific production across disciplines and countries","authors":"Irene Finocchi , Andrea Ribichini , Marco Schaerf","doi":"10.1016/j.joi.2025.101665","DOIUrl":null,"url":null,"abstract":"<div><div>In this article, we undertake a comprehensive large-scale analysis of the evolution of scientific communities across different disciplines and countries, spanning the period 1991-2020. Our analysis uses data obtained from Scopus and involves a total of 15,756,144 authors, 74,847,508 publications, and 1,501,206,153 citations. Besides the overall research production, we investigate multiple disciplines at various levels of aggregation (namely, scientific sectors as defined by the European Research Council and Scopus research categories). The geographical focus of our analysis takes into account first the worldwide scientific production and then addresses the 19 countries that are members of the G20 group (thus excluding the EU).</div><div>Research production generally increases with time (in terms of authors, publications, and citations), both on a global scale and specifically in each country. The growth is not only in terms of raw numbers but also relative to population and gross domestic product. The gender gap appears to be narrowing, albeit at a slower pace for STEM disciplines than others. Although the United States started out as the dominant country in all research fields, its primacy has eroded constantly with the passage of time. The fastest growing emerging country, China, recently managed to overtake the United States, at least in STEM disciplines.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 2","pages":"Article 101665"},"PeriodicalIF":3.5000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Informetrics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S175115772500029X","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, we undertake a comprehensive large-scale analysis of the evolution of scientific communities across different disciplines and countries, spanning the period 1991-2020. Our analysis uses data obtained from Scopus and involves a total of 15,756,144 authors, 74,847,508 publications, and 1,501,206,153 citations. Besides the overall research production, we investigate multiple disciplines at various levels of aggregation (namely, scientific sectors as defined by the European Research Council and Scopus research categories). The geographical focus of our analysis takes into account first the worldwide scientific production and then addresses the 19 countries that are members of the G20 group (thus excluding the EU).
Research production generally increases with time (in terms of authors, publications, and citations), both on a global scale and specifically in each country. The growth is not only in terms of raw numbers but also relative to population and gross domestic product. The gender gap appears to be narrowing, albeit at a slower pace for STEM disciplines than others. Although the United States started out as the dominant country in all research fields, its primacy has eroded constantly with the passage of time. The fastest growing emerging country, China, recently managed to overtake the United States, at least in STEM disciplines.
期刊介绍:
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.