Bibliometric Analyses in Data-Driven Decision-Making (Sustainable Computing and Optimization)

Bibliometric Analyses in Data-Driven Decision-Making is a comprehensive guide that will provide insights into the growth, impact, and trends within bibliometric tools and methodologies.The handbook will adopt a pragmatic approach, balancing theoretical concepts with practical applications of data-driven decision-making models through the perspectives of bibliometric analyses.It's a cohesive guide to navigate the complexities of bibliometric analysis.This book will accommodate a specific audience 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 in a range of areas. The book is organized into six different sections.Each chapter will include real-world examples, case studies, and step-by-step guides for applying bibliometric analysis.Section one begins with an overview of bibliometric analysis and methodologies, laying the foundation for the detailed discussion