Bibliometric Analyses in Data-Driven by Prasenjit Chatterjee (.PDF)
File Size: 9.3 MB
Bibliometric Analyses in Data-Driven Decision-Making (Sustainable Computing and Optimization) by Prasenjit Chatterjee, Abhijit Saha, Seifedine Kadry, Gulay Demir
Requirements: .PDF reader, 9.3 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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