eBook, PDF

Bibliometric Analyses in Data-Driven Decision-Making (eBook, PDF)

Beschreibung

The book provides essential insights and practical tools needed to effectively navigate the evolving landscape of scholarly research, helping enhance the understanding of publication trends, citation impacts, and collaboration networks across multiple fields.

Bibliometric Analyses in Data-Driven Decision-Making offers a comprehensive guide to researchers, academics, and practitioners interested in utilizing bibliometric analysis to understand and navigate the dynamic landscape of the increasingly vital field of data-driven decision-making and its applications across many areas. It provides insights into growth, impact, and trends within the field, using bibliometric tools and methodologies. This volume adopts a pragmatic approach, balancing theoretical concepts with practical applications of data-driven decision-making models through the perspectives of bibliometric analyses using real-world examples, case studies, and step-by-step guides.

The reader will find the book:

• Gives practical guidance on conducting bibliometric analyses across a range of applications for data-driven decision-making;
• Illustrates the application of bibliometric tools in the field with real-world case studies;
• Provides in-depth coverage of various bibliometric indicators and metrics;
• Explores emerging trends and challenges in bibliometric analysis;
• Provides a comprehensive overview of software and tools available for bibliometric research.

Audience

Librarians and Information professionals involved in research management, knowledge discovery, and the evaluation of scholarly communication, as well as professionals in industries reliant on cutting-edge research and development, technology assessment, and innovation. Also, a range of researchers and scholars seeking how to apply bibliometric analysis to assess the impact of their work, and advanced insights into bibliometric metrics, collaboration networks, and research trends.

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 45.17MB

Barrierefreiheit

• Text-to-Speech

Autor

Prasenjit Chatterjee, Ph.D., is a postdoctoral fellow at the Department of Applied Data Science, Noroff University College, Kristiansand, Norway, and also a professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKR Institute of Engineering, West Bengal, India. He has authored and edited over 43 books on intelligent decision-making, fuzzy computing, supply chain management, etc. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to Compromise Solutions (MARCOS) and Ranking Alternatives through Functional Mapping of Criterion Sub-Intervals into a Single Interval (RAFSI). Abhijit Saha, Ph.D., is an assistant professor (research) in the Department of Computer Technologies at SRM Institute of Science and Technology, Tamil Nadu, India. His research interests encompass fuzzy set theory, soft set theory, aggregation operators, optimization, and decision-making. He has published nearly 50 research articles in esteemed international journals. Seifedine Kadry, Ph.D., is a professor at the Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon, and the Department of Applied Data Science, Noroff University, College, Kristiansand, Norway. His research focuses on data science, education technology, system prognostics, smart learning, etc. He has published over 100 peer-reviewed papers and authored several books. He has also served as an editor-in-chief of the research journals of mathematics and statistics and the ARPN Journal of Systems and Software. Gulay Demir, Ph.D., works at Sivas Cumhuriyet University Vocational School of Health Services, Sivas, Turkey. Her research interests focus on fuzzy logic, multi-criteria analysis, mathematical statistics, statistical analysis, etc. She has more than 75 works, especially her works that are taught as graduate textbooks in different universities.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 711
• Erscheinungstermin: 11. August 2025
• Englisch
• ISBN-13: 9781394302567
• Artikelnr.: 75186834