The 19th Internationce on Webometrics, Informetrics and Scientometrics (WIS) & 24th COLLNET Meeting 2025 (COLLNET 2025) was held during 19–21 September 2025 at the Institute of Economic Growth (IEG), Delhi. The three-days event brought together scholars, academicians, researchers, and practitioners to deliberate on contemporary developments, methodologies, and applications of metrics in the domains of research evaluation, knowledge dissemination, and institutional performance.
This study examines the exponential growth and interdisciplinary diffusion of the Anthropocene concept, highlighting its significance for global sustainability research and policy. Using a quantitative bibliometric approach, 10,552 Scopus-indexed publications from 2001-2023 were analyzed through cumulative counts and correlation metrics to track publication growth, subject-domain adoption, and shifts in core and multidisciplinary journal dynamics. Results show a dramatic rise in output-from a single paper in 2001 to 1,648 in 2023- and expansion across 27 subject areas. Environmental Science emerged as the dominant field, while Agricultural Sciences declined and Social Sciences gained influence, indicating evolving priorities and greater attention to societal dimensions. Correlation among top subject domains weakened over time, signalling diversification and the emergence of new interdisciplinary linkages. Policy implications include the need for integrated climate governance, cross-disciplinary funding mechanisms, and inclusive, participatory strategies that reflect the Anthropocene's socio-ecological complexity. The study's value lies in mapping two decades of scholarly evolution to guide evidence-based sustainability policies and strengthen science-policy interfaces. Its originality lies in combining growth trends with subject-dynamic correlations, providing actionable insights into how shifts in academic focus inform adaptive climate strategies and the development of equitable, knowledge-driven responses to planetary change.
Purpose: Societal and governmental evolution is strongly influenced by knowledge, information and communication technologies, innovation, and globalization. This study explores knowledge management through the lens of open innovation, using scientometric analysis and systematic review. It examines scholarly literature indexed in the Web of Science to uncover the critical dimensions and components of knowledge management within an open innovation framework. Design/methodology/approach: This descriptive-applied research utilized both scientometric and systematic review approaches. In the scientometric phase, methods such as co-occurrence analysis, social network analysis, hierarchical clustering, and strategic diagram were applied. The systematic review employed PRISMA guidelines, content analysis, and coding strategies. Analytical tools included Excel, VOSviewer, UCINET, BIBExcel, and SPSS. The initial corpus comprised studies on knowledge management and open innovation (KMOI) indexed in Web of Science between 2006 and 2022. A total of 1,218 records were retrieved, from which 32 English articles and 29 Persian-language theses and papers were selected for review. Findings: The mean growth rate of scientific productions during 2006 to 2022 was 24.829%, indicating a positive trend in scientific productions associated with KMOI. The keywords "performance, research and development, and absorptive capacity" had the most frequency and links and the keywords "manufacturing companies, open innovation methods and open source software" had the most citations; Following the co-occurrence analysis of 4187 keywords extracted from scientific publications by applying a co-occurrence threshold of 5, 8 clusters containing 367 topics and keywords were formed and identified. Hierarchical clustering resulted in the formation of 5 clusters. Clusters of Knowledge management based on innovation and open innovation, and the requirements and consequences of open innovation are among mature clusters, clusters of innovation based on ecology and organizational performance based on knowledge and innovation are among developed clusters, and the cluster of knowledge management practices and processes with an open innovation approach has not yet reached maturity. A systematic review results led to the identification of 4 themes, 17 main categories and 316 subcategories. Among the identified codes, the codes "internal knowledge management capacity", "innovation capacity", "knowledge management capabilities", "information technology infrastructures", "innovative performance", "diversity in openness", "willingness to collaborate", and " Cooperation with suppliers and competitors" had the highest frequency, respectively. Originality/value: This research has provided an overview of the important and growing issues in this field by drawing the existing knowledge related to knowledge management and open innovation. While creating a comprehensive perspective through the identification of the main topics and clusters discussed in this field, the research will be useful for those involved in the fields of research, education, and organizational managers. In other words, knowledge-based societies and organizations will be able to improve the level of learning, productivity, and create value by considering the concepts, themes, and categories identified in today's competitive environment.
Statistical literacy is a key competency for informed citizenship and data driven decision making. This study presents a bibliometric analysis of statistical literacy literature, exploring its conceptual, theoretical and social dimensions. Using co-citation, bibliographic coupling, co-authorship and keyword co-occurrence analyses on a dataset of 361 publications, it maps disciplinary perspectives and research trends. Emphasizing the societal importance of statistical literacy the study offers policy relevant insights and practical recommendations. It highlights the need for interdisciplinary collaboration to foster statistical literacy across sectors. By synthesizing theoretical frameworks and identifying research gaps the findings contribute to advancing both academic understanding and strategic implementation in education, information science and public policy.
Citation counts, and metrics built thereupon, have transformed how many colleges and universities evaluate the scholarly output of their faculty. Journal impact factors and scholar-level h-indices, among many other metrics, now appear in promotion, renewal, and tenure decisions as well as award and grant deliberations. Correctly using these seemingly objective measures of scholarly performance requires more tact and skill than many administrators and faculty realize. Moreover, the dizzying array of research evaluation metrics can befuddle even the most earnest of research evaluators. This paper concisely reviews twelve key considerations based on abridged theory and frontline bibliometric application. The intended audience is non-expert faculty and administrators that seek basic bibliometric guidance as they move into research evaluation roles.
