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Bibliometric Analyses in Data-Driven Decision-Making

Edited by Prasenjit Chatterjee, Abhijit Saha, Seifedine Kadry and Gülay Demir
Series: Sustainable Computing and Optimization
Copyright: 2025   |   Expected Pub Date:2025/5/30
ISBN: 9781394302529  |  Hardcover  |  
708 pages

One Line Description
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.

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.

Description
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.

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Author / Editor Details
Prasenjit Chatterjee, PhD is a post-doctoral fellow in the Department of Applied Data Science, Noroff University College, and a professor of mechanical engineering and Dean of Research and Consultancy at the MCKV Institute of Engineering, India. He has published over 135 research papers in various international journals and conferences, authored and edited more than 43 books on intelligent decisionmaking, fuzzy computing, supply chain management, optimization techniques, risk management, and sustainability modelling.

Abhijit Saha, PhD is an assistant professor in the Department of Computing Technologies at SRM Institute of Science and Technology, Tamil Nadu, India with over ten years of teaching and research experience. He has published over 50 research articles in international journals and serves on the editorial boards of three international journals. His research interests encompass fuzzy set theory, soft set theory, aggregation operators, optimization, and decision-making.

Seifedine Kadry, PhD is a professor in the Department of Computer Science and Mathematics at the Lebanese American University and the Department of Applied Data Science at Noroff University College. He has published over 100 peer-reviewed papers and authored several books. His research interests include data science, system prognostics, stochastic systems, smart learning, social network analysis, and e-systems.

Gülay Demir, PhD is affiliated with Sivas Cumhuriyet University Vocational School of Health Services. She has over 75 publications, primarily in graduate-level textbooks. Her research interests include fuzzy logic, multi-criteria analysis, mathematical statistics, statistical analysis, data analysis, non-parametric statistics, statistical calculation, and parametric statistics.

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Table of Contents
Preface
Acknowledgements
Part 1: Introduction to Bibliometric Analysis and Methodologies
1. Introduction to Bibliometric Analysis and Methodologies
Gülay Demir, Prasenjit Chatterjee, Abhijit Saha and Seifedine Kadry
1.1 Introduction
1.1.1 Stages of Bibliometric Analysis
1.1.1.1 Preparation Phase Before Bibliometric Analysis
1.1.1.2 Application Phase of Bibliometric Analysis
1.2 Historical Development of Bibliometrics
1.3 Key Bibliometric Indicators
1.4 Bibliometric Data Sources
1.5 Methodologies in Bibliometric Analysis
1.6 Applications of Bibliometric Analysis
1.7 Challenges and Limitations
1.8 Future Directions in Bibliometrics
1.9 Conclusions
References
Part 2: Bibliometric Analysis in Logistics and Supply Chain
2. Multi-Criteria Decision-Making in Logistics and Supply Chain Management: A Bibliometric Analysis
Murat Kemal Keleş and Askin Ozdagoglu
2.1 Introduction
2.2 Literature Review
2.3 Materials and Methods
2.4 Bibliometric Analysis Results of the Logistics/Supply Chain and MCDM
2.4.1 Performance Analysis
2.4.1.1 The General Overview of the Database
2.4.1.2 The Annual Publication and Citation Status
2.4.1.3 The Publication and Citation Status of Journals
2.4.1.4 The Most Relevant Affiliations
2.4.1.5 Authors’ Status
2.4.1.6 The Most Productive Countries
2.4.1.7 Most Cited Document
2.4.2 Scientific Mapping Analysis
2.4.2.1 Thematic Map
2.4.2.2 Trend Topics
2.4.2.3 Keyword Analysis
2.5 Discussion
2.6 Conclusions
References
3. Digital Supply Chain: A Bibliometric Analysis
Rajeev Ranjan, Sonu Rajak, Prasenjit Chatterjee, Gulay Demir and Ernesto DR Santibanez Gonzalez
3.1 Introduction
3.2 Bibliometric Analysis
3.2.1 Research Gaps and Research Questions
3.3 Materials and Methods
3.4 Bibliometric Analysis of DSC
3.4.1 Performance Analysis
3.4.1.1 Overall Review of the Database
3.4.1.2 A Rise in Annual Publications
3.4.1.3 Average Annual Citations
3.4.1.4 Sankey Diagram
3.4.1.5 Most Cited and Most Published Journals
3.4.1.6 The Most Important Affiliations
3.4.1.7 Frequently Referenced Authors
3.4.1.8 The Most Productive Countries
3.4.1.9 Most Cited Document
3.4.2 Analysis of Science Mapping
3.4.2.1 Thematic Map
3.4.2.2 Trend Topics
3.4.2.3 Word Cloud
3.4.2.4 Collaborative Network of Co-Words in Publications on DSC
3.4.2.5 Conceptual Structure Map
3.5 Discussions
3.6 Conclusions
References
4. Agile Supply Chain Dynamics: A Bibliometric Analysis with a Technology-Barrier-Performance Framework
Vikrant Sharma and Prasenjit Chatterjee
4.1 Introduction
4.2 Literature Review
4.3 Methodology
4.4 Results
4.4.1 Descriptive Analysis
4.4.2 Sources
4.4.3 Authors
4.4.4 Main Research Country
4.4.5 Relationship
4.5 Mapping Results with VOSviewer Software
4.6 Conceptual Structure and Evolution of the Field
4.7 Discussion
4.7.1 Principal Findings
4.7.2 Technology, Enablers, Barriers, and Performance Indicators Framework
4.7.3 Future Direction for Agile Supply Chain
4.7.4 Limitation of Study
4.8 Conclusions
References
Part 3: Multi-Criteria Decision‑Making (MCDM) and Bibliometric Analysis
5. Multi-Criteria Decision-Making Methods for Robot Selection: A Bibliometric Analysis of Research Trends
Rajeev Ranjan, Sonu Rajak and Prasenjit Chatterjee
5.1 Introduction
5.2 Bibliometric Analysis
5.3 Materials and Methods
5.4 Results
5.4.1 Performance Analysis
5.4.1.1 Database Overview
5.4.1.2 Annual Increase in Publications
5.4.1.3 Status of Average Annual Citations
5.4.1.4 Sankey Diagram
5.4.1.5 Most Cited Journals
5.4.1.6 The Most Relevant Affiliations
5.4.1.7 The Most Cited Authors
5.4.1.8 The Most Productive Nations
5.4.1.9 Most Cited Document
5.4.2 Science Mapping Analysis
5.4.2.1 Co-Occurrence Keywords Analysis
5.4.2.2 Thematic Analysis
5.4.2.3 Trend Topics
5.4.2.4 Scientific Landscape
5.4.2.5 Timeline Analysis
5.4.2.6 Citation Burst Analysis
5.5 Discussion
5.6 Conclusions, Managerial Implication, and Future Research Directions
References
6. Bibliometrics Analysis on Economics and MCDM
Yüksel Aydın
6.1 Introduction
6.2 Literature Review
6.3 Research Methodology
6.4 Bibliometric Analysis Results on Economics and MCDM
6.4.1 Performance Analysis
6.4.1.1 Main Information
6.4.1.2 Annual Status of Publications
6.4.1.3 Average Annual Citations
6.4.1.4 Magazines with the Most Publications
6.4.1.5 Most Important Universities
6.4.1.6 Most Important Authors
6.4.1.7 Most Productive Countries
6.4.1.8 Most Cited Article
6.4.2 Scientific Mapping Analysis
6.4.2.1 Thematic Map
6.4.2.2 Trend Topics
6.4.2.3 Keyword Analysis
6.5 Discussion
6.6 Conclusion
References
7. Material Selection by Multi-Criteria Decision-Making: A Bibliometric Analysis
Rajeev Ranjan, Sonu Rajak and Prasenjit Chatterjee
7.1 Introduction
7.2 A Brief Background of Multi-Criteria Decision-Making (MCDM)
7.2.1 Bibliometric Analysis
7.2.2 Research Gaps and Research Questions
7.3 Materials and Methods
7.4 Material Selection by MCDM Method’s Bibliometric Analysis Findings
7.4.1 Performance Analysis
7.4.1.1 Overall Review of the Database
7.4.1.2 An Increase in Publications Per Year
7.4.1.3 Average Annual Citations
7.4.1.4 Sankey Diagram
7.4.1.5 Most Cited and Most Published Journals
7.4.1.6 The Most Important Affiliations
7.4.1.7 Frequently Referenced Authors
7.4.1.8 The Most Productive Countries
7.4.1.9 Most Cited Document
7.4.2 Analysis of Science Mapping
7.4.2.1 Thematic Map
7.4.2.2 Trend Topics
7.4.2.3 Keyword Co-Occurrence Analysis
7.4.2.4 Scientific Landscape
7.4.2.5 Timeline Analysis
7.4.2.6 Citation Burst Analysis
7.5 Discussions
7.6 Conclusions, Managerial Implication, and Future Research Directions
References
8. Evaluation Based on Distance from Average Solution (EDAS) Method: A Bibliometric Analysis
Rajeev Ranjan, Sonu Rajak, Prasenjit Chatterjee and Seifedine Kadry
8.1 Introduction
8.2 EDAS Method
8.2.1 Fundamentals of EDAS Method
8.2.2 Bibliometric Analysis
8.2.3 Research Gaps and Research Questions
8.3 Materials and Methods
8.4 Results of the EDAS Method Bibliometric Analysis
8.4.1 Performance Analysis
8.4.1.1 Overall Review of the Database
8.4.1.2 Annual Publication Increase
8.4.1.3 Average Annual Citations
8.4.1.4 Sankey Diagram
8.4.1.5 Most Cited and Most Published Journals
8.4.1.6 The Affiliations that Matter Most
8.4.1.7 Frequently Cited Authors
8.4.1.8 The Most Productive Countries
8.4.1.9 Most Cited Document
8.4.2 Analysis of Science Mapping
8.4.2.1 Thematic Map
8.4.2.2 Trend Topics
8.4.2.3 Keyword Co-Occurrence Analysis
8.4.2.4 Scientific Landscape
8.4.2.5 Timeline Analysis
8.4.2.6 Citation Burst Analysis
8.5 Discussions
8.6 Conclusions
References
9. Evolution of m-Polar Fuzzy Set as a Decision-Making Tool: A Bibliometric Review
Madan Jagtap and Prasad Karande
9.1 Introduction
9.1.1 Paper Organization
9.1.2 Research Methodology and Contributions of the Work
9.2 Literature Review
9.2.1 Different Types of Fuzzy Sets
9.3 Fuzzy Sets in Decision-Making
9.4 m-Polar Fuzzy Sets in Decision-Making
9.5 Comparison of m-Polar Fuzzy Set and Ordinary Fuzzy Sets in Decision-Making
9.6 Analysis of m-Polar FSs
9.6.1 Analysis Based on m-Polar FS Publications
9.6.2 Analysis Based on Journals
9.6.3 Analysis Based on Authors’ Contributions
9.6.4 Analysis Based on Application of m-Polar Fuzzy Logic
9.6.5 Bibliometric Analysis for the m-Polar Fuzzy Set
9.6.5.1 Co-Author and Author Mapping for m-Polar Fuzzy Set
9.6.5.2 Bibliographic Coupling of Universities for the m-Polar Fuzzy Set
9.6.5.3 Bibliographic Coupling Countries for the m-Polar Fuzzy Set
9.6.5.4 Citation Documents Analysis for m-Polar Fuzzy Sets
9.6.5.5 Co-Occurrences of Author’s Keywords Analysis for m-Polar Fuzzy Sets
9.6.5.6 Co-Authorship Organizations Analysis for the m-Polar Fuzzy Sets
9.7 Conclusion
References
10. Bibliometrics Analysis on Renewable Energy and Multi-Criteria Decision-Making
Rahim Arslan
10.1 Introduction
10.2 Literature Review
10.3 Methodology
10.3.1 Data Collection
10.3.1.1 Selection of Databases
10.3.1.2 Keyword Search
10.3.1.3 Time Interval
10.3.1.4 Visualization of Data
10.3.2 Data Acquisition
10.4 Bibliometric Indicators
10.4.1 Number of Publications and Citations
10.4.2 Evaluation According to the Amount of Citations
10.4.3 Author and Organization Analysis
10.4.4 Country Analysis
10.4.5 Journal Analysis
10.4.6 Keyword Analysis
10.4.7 Trend Analysis
10.5 Discussion
10.6 Research Gaps and Future Directions
References
Part 4: Bibliometric Analysis in Healthcare and Medicine
11. Gamification in Healthcare: Bibliometric Analysis on Gamification in Nursing Care
Askeri Çankaya
11.1 Introduction
11.1.1 Gamification in Healthcare
11.1.2 Gamification in Nursing Care
11.2 Material and Methods
11.3 Results
11.4 Discussions
11.5 Conclusions
References
12. Virtual Reality in Healthcare: A Bibliometric Analysis of Studies on Wound Care
Hatice Özsoy
12.1 Introduction
12.1.1 Virtual Reality in Nursing
12.1.2 Virtual Reality in Wound Care
12.1.3 Literature Review
12.2 Materials and Methods
12.2.1 Research Problem and Aim
12.2.2 Data Sources and Research Methods
12.3 Results
12.3.1 Main Information
12.3.2 Annual Scientific Production
12.3.3 The Most Productive Countries
12.3.4 Author Keywords
12.3.5 Most Productive and Cited Countries
12.3.6 Sankey Diagram
12.3.7 Country Collaboration Network
12.4 Discussion
12.5 Conclusion
References
13. Escape Room Method in Healthcare: A Bibliometric Analysis
Esra Özkan
13.1 Introduction
13.1.1 Escape Rooms in Healthcare
13.1.2 Escape Rooms in Clinical Nursing
13.1.3 The Theory of Escape Room
13.2 Material and Method
13.2.1 Data Extraction and Analysis Process
13.3 Results
13.4 Discussions
13.5 Conclusions
References
14. Bibliometric Analysis of Wavelet Transformation Applications in Biosignal and Medical Image Processing
S. N. Kumar, Linu Tess Antony and Jibil K. John
14.1 Introduction
14.2 Review of the Literature Using Bibliometric Analysis
14.3 Results and Discussion
14.4 Conclusion
References
Part 5: Artificial Intelligence and Machine Learning
15. Artificial Intelligence in Business Management: Current Developments and Future Perspectives Through Bibliometric Analysis
Zekiye Tamer
15.1 Introduction
15.2 Public Relations in Business Management and AI
15.3 Method
15.3.1 Bibliometric Analysis
15.3.2 Research Gaps and Research Questions
15.3.3 Findings
15.4 Conclusions
References
16. Decision Trees in Transportation Research: Bibliometric Analysis and Future Directions
Gülay Demir, Prasenjit Chatterjee and Abhijit Saha
16.1 Introduction
16.2 Literature Review
16.3 Fundamentals of Decision Trees
16.3.1 Types of Decision Trees
16.3.2 Applications of Decision Trees
16.3.3 Basic Components for Decision Trees
16.3.4 Working Principle of Decision Trees
16.3.5 Applications of Decision Trees in Transportation
16.3.6 Decision Tree Model Drawing
16.4 Research Methodology
16.4.1 Data Collection
16.4.2 Bibliometric Analysis Tools
16.4.3 Data Analysis
16.4.4 Bibliometric Indicators
16.4.4.1 Number of Publications and Citations
16.4.5 Number of Citations
16.4.6 Author and Organization Analysis
16.4.7 Country Analysis
16.4.8 Journal Analysis
16.4.9 Keyword Analysis
16.4.10 Trend Analysis
16.5 Discussion
16.6 Conclusions and Future Research Directions
References
17. Machine Learning in Climate Change from 2015 to 2024: A Bibliometric Analysis
Minh Thu Nguyen
17.1 Introduction
17.2 Research Methodology
17.3 Trend of Scientific Articles
17.3.1 Research Productivity in 2015–2024 Year
17.3.2 Publication of Scientific Journals
17.3.3 Output of Author
17.3.4 Distribution of Country
17.4 Conclusions
References
18. Neuro-Fuzzy Systems and Inference in the Evolution of Intelligent Systems: A Bibliometric Review
Sefer Darıcı
18.1 Introduction
18.2 Literature
18.3 Materials and Methods
18.4 Bibliometric Analysis Results of Neuro-Fuzzy Systems and Inference
18.4.1 Performance Analysis
18.4.1.1 Database Overview
18.4.1.2 Annual Publication and Citation Status
18.4.1.3 Publication and Citation Status of Journals
18.4.1.4 The Most Relevant Affiliations
18.4.1.5 Status of Authors
18.4.1.6 The Most Productive Countries
18.4.1.7 Most Cited Document
18.4.2 Scientific Mapping Analysis
18.4.2.1 Thematic Map
18.4.2.2 Trend Topics
18.4.2.3 Keyword Analysis
18.5 Discussion
18.6 Conclusions
References
19. Genetic Algorithms in Bioinformatics: A Bibliometric Review
Ahmet Turan Demir
19.1 Introduction
19.2 Method
19.2.1 Data Collection
19.2.2 Data Analysis
19.2.3 Software Tools
19.3 Results
19.3.1 General Information of Publications
19.3.2 Distribution of Publication and Citation Counts by Year
19.3.3 Most Cited Articles, Countries, and Journals
19.3.4 Most Productive Authors, Institutions, Journals, and Countries
19.3.5 Collaborative Networks and Collaboration Analyses
19.3.6 Thematic Analysis of Popular Research Topics
19.3.7 Trend Topics
19.4 Discussions
19.5 Future Directions and Implications
19.6 Conclusions
References
20. Swarm Intelligence in Two Decades: Bibliometric Analysis and Research Visualizations
Ayşe Meriç Yazıcı
20.1 Introduction
20.2 Bibliometric Analysis
20.3 Methodology
20.4 Data Analysis and Findings
20.5 Theoretical and Practical Limitations
20.6 Future Recommendations
20.7 Conclusions
References
21. Bayesian Methods in Marketing: A Bibliometric Examination of Trends and Patterns
Bibin Xavier
21.1 Introduction
21.2 Methodology
21.3 Bibliometric Analysis
21.3.1 Annual Scientific Production
21.3.2 Average Citations Per Year
21.3.3 Most Relevant Sources
21.3.4 Most Local Cited Sources
21.3.5 Core Sources by Bradford’s Law
21.3.6 Sources’ Local Impact
21.3.7 Most Relevant Authors
21.3.8 Most Relevant Affiliations
21.3.9 Countries’ Scientific Production
21.3.10 Most Global Cited Documents
21.3.11 Bibliographic Coupling
21.4 Discussion
21.5 Conclusions
References
22. Bibliometric Analysis of Search Engine Optimization–Based Decision-Making Strategies
Uzma Mumtaz, Anand Bharathi S., S. Rajamohan and Naseeb Ahmad
22.1 Introduction
22.1.1 Fundamentals of Search Engine Optimization (SEO)
22.1.2 Introduction to Bibliometric Analysis in SEO Decision-Making
22.1.3 Objectives and Scope of the Chapter
22.1.4 Selection Criteria for Scopus Search
22.2 Insights through Research Publication Trends
22.2.1 Analysis of Annual Publication Trends in Informed SEO Decision-Making Strategies
22.2.2 Key Milestones and Landmark Publications
22.2.3 Trends in Publication Activity Over Time
22.2.4 Impact of External Factors on Publication Trends
22.3 Prominent Authors, Organizations, and Countries
22.3.1 Top Authors and Their Citation Impact
22.3.2 Leading Academic Institutions and Their Contributions
22.3.3 Global Distribution of Research Output and Impact
22.4 Most Influential Journals and Articles
22.4.1 Analysis of Most Influential Journals
22.4.2 Examination of Highly Cited Articles and their Impact
22.4.3 Key Insights from Influential Articles
22.5 Analysis of Co-Citations and Author Co-Citation Networks
22.5.1 Co-Citation Analysis: Identifying Frequently Cited References
22.5.2 Author Co-Citation Networks: Mapping Collaborative Partnerships
22.5.3 Insights from Co-Citation Analysis
22.6 Keyword Co-Occurrence Analysis
22.6.1 Top Keywords in Informed SEO Decision-Making Strategies
22.6.2 Analysis of Keyword Relationships and Frequency
22.6.3 Insights for Research and Practice
22.7 Thematic Analysis of Bibliometric Coupling
22.7.1 Identification of Theme Clusters in Informed SEO-Based Decision-Making Strategies
22.7.2 Overview of Key Research Themes and Findings
22.7.3 Implications for Future Research Directions
22.8 Challenges and Opportunities
22.8.1 Limitations and Pitfalls of Bibliometric Analysis in SEO
22.8.2 Opportunities for Further Research and Innovation
22.8.3 Addressing Challenges in Bibliometric Analysis for Informed SEO Decision-Making
22.9 Conclusions
22.9.1 Recap of Key Findings and Insights
22.9.2 Importance of Bibliometric Analysis in SEO Strategy
22.9.3 Future Outlook and Recommendations for Practitioners Insights through Research
Acknowledgment
References
Part 6: Technology, Sustainability, and Innovation
23. Bibliometric Insights into the Nexus of Digital HR, Innovation, and Sustainability: Toward a Smart Workforce
Shivakami Rajan and L. R. Niranjan
23.1 Introduction
23.1.1 Research Gap
23.1.2 Research Questions
23.1.3 Literature Review
23.1.4 Conceptual Framework
23.2 Methodology
23.2.1 Inclusion and Exclusion Criteria
23.2.2 Data Analysis
23.3 Results-Bibliometric Findings
23.3.1 Descriptive Details of Publications
23.3.2 Keyword Analyses
23.3.3 Authors
23.3.4 Findings
23.4 Discussions
23.5 Implications
23.5.1 Industry
23.5.2 Managerial
23.6 Future Directions
23.7 Conclusions
References
24. Delineation of Blockchain and Customer Experience: A Review and Thematic Analysis
Akshay Kumar Mishra and Sandeep Kumar Mohanty
24.1 Introduction
24.2 Conceptual Background: Blockchain and Customer Experience
24.3 Methodology
24.4 Bibliometric and Network Analysis
24.4.1 Performance Analysis
24.4.2 Influential Documents Analysis
24.4.3 Keywords and Network Analysis
24.4.4 Thematic Analysis
24.4.4.1 Blockchain, Artificial Intelligence, and Customer Experience
24.4.4.2 Blockchain and Competition
24.4.4.3 Blockchain and Motivation
24.4.4.4 Blockchain and Cost Reduction
24.5 Implications and Future Research Directions
24.6 Conclusion
References
25. A Post-Millennial Bibliometric Analysis of Algorithmic Fairness: Trends, Research Barriers, and Future Directions
Murat Atan, Mustafa Mehmet Bayar and Irmak Uzun Bayar
25.1 Introduction
25.1.1 Explainable AI and the Fairness Hype from a Data-Driven Decision-Making Perspective
25.1.2 Why Focus on the Post-Millennial Era?
25.2 Relevant Bibliometric Analyses
25.3 Materials and Methods
25.4 Bibliometric and Network Analysis
25.4.1 Sources
25.4.2 Annual Monitoring of Growth
25.4.3 Language Choices
25.4.4 Subject Areas
25.4.5 Keyword Analysis
25.4.6 Geographical Distribution of Publications and International Collaborations
25.4.7 Authorship
25.4.8 Institutional Performance
25.4.9 Research Barriers and Funding Impact
25.5 Conclusion
References
Index

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