Bibliometric Analyses in Data-Driven Decision-Making

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 decision-making, 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.

• Preface xxiiiAcknowledgements xxixPart 1: Introduction to Bibliometric Analysis and Methodologies 11 Introduction to Bibliometric Analysis and Methodologies 3Gülay Demir, Prasenjit Chatterjee, Abhijit Saha and Seifedine Kadry1.1 Introduction 41.1.1 Stages of Bibliometric Analysis 51.1.1.1 Preparation Phase Before Bibliometric Analysis 61.1.1.2 Application Phase of Bibliometric Analysis 141.2 Historical Development of Bibliometrics 211.3 Key Bibliometric Indicators 241.4 Bibliometric Data Sources 261.5 Methodologies in Bibliometric Analysis 291.6 Applications of Bibliometric Analysis 311.7 Challenges and Limitations 331.8 Future Directions in Bibliometrics 351.9 Conclusions 38References 39Part 2: Bibliometric Analysis in Logistics and Supply Chain 452 Multi-Criteria Decision-Making in Logistics and Supply Chain Management: A Bibliometric Analysis 47Murat Kemal Keleş and Askin Ozdagoglu2.1 Introduction 482.2 Literature Review 512.3 Materials and Methods 522.4 Bibliometric Analysis Results of the Logistics/Supply Chain and MCDM 532.4.1 Performance Analysis 532.4.1.1 The General Overview of the Database 532.4.1.2 The Annual Publication and Citation Status 542.4.1.3 The Publication and Citation Status of Journals 552.4.1.4 The Most Relevant Affiliations 552.4.1.5 Authors’ Status 572.4.1.6 The Most Productive Countries 572.4.1.7 Most Cited Document 592.4.2 Scientific Mapping Analysis 602.4.2.1 Thematic Map 602.4.2.2 Trend Topics 612.4.2.3 Keyword Analysis 622.5 Discussion 642.6 Conclusions 66References 673 Digital Supply Chain: A Bibliometric Analysis 71Rajeev Ranjan, Sonu Rajak, Prasenjit Chatterjee, Gulay Demir and Ernesto DR Santibanez Gonzalez3.1 Introduction 723.2 Bibliometric Analysis 743.2.1 Research Gaps and Research Questions 753.3 Materials and Methods 763.4 Bibliometric Analysis of DSC 793.4.1 Performance Analysis 793.4.1.1 Overall Review of the Database 793.4.1.2 A Rise in Annual Publications 803.4.1.3 Average Annual Citations 813.4.1.4 Sankey Diagram 813.4.1.5 Most Cited and Most Published Journals 833.4.1.6 The Most Important Affiliations 833.4.1.7 Frequently Referenced Authors 843.4.1.8 The Most Productive Countries 843.4.1.9 Most Cited Document 863.4.2 Analysis of Science Mapping 883.4.2.1 Thematic Map 883.4.2.2 Trend Topics 893.4.2.3 Word Cloud 903.4.2.4 Collaborative Network of Co-Words in Publications on DSC 913.4.2.5 Conceptual Structure Map 923.5 Discussions 923.6 Conclusions 94References 954 Agile Supply Chain Dynamics: A Bibliometric Analysis with a Technology-Barrier-Performance Framework 99Vikrant Sharma and Prasenjit Chatterjee4.1 Introduction 1004.2 Literature Review 1014.3 Methodology 1034.4 Results 1044.4.1 Descriptive Analysis 1044.4.2 Sources 1064.4.3 Authors 1084.4.4 Main Research Country 1104.4.5 Relationship 1124.5 Mapping Results with VOSviewer Software 1124.6 Conceptual Structure and Evolution of the Field 1154.7 Discussion 1224.7.1 Principal Findings 1224.7.2 Technology, Enablers, Barriers, and Performance Indicators Framework 1244.7.3 Future Direction for Agile Supply Chain 1274.7.4 Limitation of Study 1284.8 Conclusions 128References 129Part 3: Multi-Criteria Decision‐Making (MCDM) and Bibliometric Analysis 1375 Multi-Criteria Decision-Making Methods for Robot Selection: A Bibliometric Analysis of Research Trends 139Rajeev Ranjan, Sonu Rajak and Prasenjit Chatterjee5.1 Introduction 1405.2 Bibliometric Analysis 1425.3 Materials and Methods 1435.4 Results 1465.4.1 Performance Analysis 1465.4.1.1 Database Overview 1475.4.1.2 Annual Increase in Publications 1475.4.1.3 Status of Average Annual Citations 1485.4.1.4 Sankey Diagram 1495.4.1.5 Most Cited Journals 1495.4.1.6 The Most Relevant Affiliations 1515.4.1.7 The Most Cited Authors 1515.4.1.8 The Most Productive Nations 1525.4.1.9 Most Cited Document 1555.4.2 Science Mapping Analysis 1555.4.2.1 Co-Occurrence Keywords Analysis 1555.4.2.2 Thematic Analysis 1585.4.2.3 Trend Topics 1595.4.2.4 Scientific Landscape 1605.4.2.5 Timeline Analysis 1615.4.2.6 Citation Burst Analysis 1635.5 Discussion 1635.6 Conclusions, Managerial Implication, and Future Research Directions 165References 1666 Bibliometrics Analysis on Economics and MCDM 169Yüksel Aydın6.1 Introduction 1706.2 Literature Review 1716.3 Research Methodology 1746.4 Bibliometric Analysis Results on Economics and MCDM 1746.4.1 Performance Analysis 1746.4.1.1 Main Information 1746.4.1.2 Annual Status of Publications 1756.4.1.3 Average Annual Citations 1766.4.1.4 Magazines with the Most Publications 1766.4.1.5 Most Important Universities 1776.4.1.6 Most Important Authors 1786.4.1.7 Most Productive Countries 1796.4.1.8 Most Cited Article 1806.4.2 Scientific Mapping Analysis 1816.4.2.1 Thematic Map 1816.4.2.2 Trend Topics 1826.4.2.3 Keyword Analysis 1836.5 Discussion 1856.6 Conclusion 186References 1877 Material Selection by Multi-Criteria Decision-Making: A Bibliometric Analysis 191Rajeev Ranjan, Sonu Rajak and Prasenjit Chatterjee7.1 Introduction 1927.2 A Brief Background of Multi-Criteria Decision-Making (mcdm) 1927.2.1 Bibliometric Analysis 1967.2.2 Research Gaps and Research Questions 1977.3 Materials and Methods 1987.4 Material Selection by MCDM Method’s Bibliometric Analysis Findings 1997.4.1 Performance Analysis 1997.4.1.1 Overall Review of the Database 2007.4.1.2 An Increase in Publications Per Year 2017.4.1.3 Average Annual Citations 2017.4.1.4 Sankey Diagram 2037.4.1.5 Most Cited and Most Published Journals 2037.4.1.6 The Most Important Affiliations 2047.4.1.7 Frequently Referenced Authors 2057.4.1.8 The Most Productive Countries 2057.4.1.9 Most Cited Document 2087.4.2 Analysis of Science Mapping 2087.4.2.1 Thematic Map 2097.4.2.2 Trend Topics 2107.4.2.3 Keyword Co-Occurrence Analysis 2127.4.2.4 Scientific Landscape 2137.4.2.5 Timeline Analysis 2147.4.2.6 Citation Burst Analysis 2167.5 Discussions 2167.6 Conclusions, Managerial Implication, and Future Research Directions 218References 2208 Evaluation Based on Distance from Average Solution (EDAS) Method: A Bibliometric Analysis 223Rajeev Ranjan, Sonu Rajak, Prasenjit Chatterjee and Seifedine Kadry8.1 Introduction 2248.2 EDAS Method 2268.2.1 Fundamentals of EDAS Method 2268.2.2 Bibliometric Analysis 2298.2.3 Research Gaps and Research Questions 2308.3 Materials and Methods 2328.4 Results of the EDAS Method Bibliometric Analysis 2348.4.1 Performance Analysis 2348.4.1.1 Overall Review of the Database 2348.4.1.2 Annual Publication Increase 2358.4.1.3 Average Annual Citations 2358.4.1.4 Sankey Diagram 2378.4.1.5 Most Cited and Most Published Journals 2378.4.1.6 The Affiliations that Matter Most 2388.4.1.7 Frequently Cited Authors 2388.4.1.8 The Most Productive Countries 2398.4.1.9 Most Cited Document 2428.4.2 Analysis of Science Mapping 2438.4.2.1 Thematic Map 2438.4.2.2 Trend Topics 2438.4.2.3 Keyword Co-Occurrence Analysis 2458.4.2.4 Scientific Landscape 2478.4.2.5 Timeline Analysis 2488.4.2.6 Citation Burst Analysis 2498.5 Discussions 2508.6 Conclusions 251References 2529 Evolution of m-Polar Fuzzy Set as a Decision-Making Tool: A Bibliometric Review 257Madan Jagtap and Prasad Karande9.1 Introduction 2589.1.1 Paper Organization 2599.1.2 Research Methodology and Contributions of the Work 2599.2 Literature Review 2619.2.1 Different Types of Fuzzy Sets 2619.3 Fuzzy Sets in Decision-Making 2629.4 m-Polar Fuzzy Sets in Decision-Making 2639.5 Comparison of m-Polar Fuzzy Set and Ordinary Fuzzy Sets in Decision-Making 2659.6 Analysis of m-Polar FSs 2659.6.1 Analysis Based on m-Polar FS Publications 2659.6.2 Analysis Based on Journals 2679.6.3 Analysis Based on Authors’ Contributions 2829.6.4 Analysis Based on Application of m-Polar Fuzzy Logic 2849.6.5 Bibliometric Analysis for the m-Polar Fuzzy Set 2869.6.5.1 Co-Author and Author Mapping for m-Polar Fuzzy Set 2869.6.5.2 Bibliographic Coupling of Universities for the m-Polar Fuzzy Set 2879.6.5.3 Bibliographic Coupling Countries for the m-Polar Fuzzy Set 2879.6.5.4 Citation Documents Analysis for m-Polar Fuzzy Sets 2889.6.5.5 Co-Occurrences of Author’s Keywords Analysis for m-Polar Fuzzy Sets 2899.6.5.6 Co-Authorship Organizations Analysis for the m-Polar Fuzzy Sets 2909.7 Conclusion 290References 29110 Bibliometrics Analysis on Renewable Energy and Multi-Criteria Decision-Making 295Rahim Arslan10.1 Introduction 29610.2 Literature Review 29810.3 Methodology 29910.3.1 Data Collection 29910.3.1.1 Selection of Databases 29910.3.1.2 Keyword Search 29910.3.1.3 Time Interval 30010.3.1.4 Visualization of Data 30010.3.2 Data Acquisition 30010.4 Bibliometric Indicators 30010.4.1 Number of Publications and Citations 30110.4.2 Evaluation According to the Amount of Citations 30310.4.3 Author and Organization Analysis 30310.4.4 Country Analysis 30610.4.5 Journal Analysis 30810.4.6 Keyword Analysis 30910.4.7 Trend Analysis 31610.5 Discussion 31710.6 Research Gaps and Future Directions 318References 319Part 4: Bibliometric Analysis in Healthcare and Medicine 32311 Gamification in Healthcare: Bibliometric Analysis on Gamification in Nursing Care 325Askeri Çankaya11.1 Introduction 32611.1.1 Gamification in Healthcare 32611.1.2 Gamification in Nursing Care 32711.2 Material and Methods 32911.3 Results 33011.4 Discussions 33411.5 Conclusions 336References 33612 Virtual Reality in Healthcare: A Bibliometric Analysis of Studies on Wound Care 339Hatice Özsoy12.1 Introduction 34012.1.1 Virtual Reality in Nursing 34012.1.2 Virtual Reality in Wound Care 34112.1.3 Literature Review 34112.2 Materials and Methods 34212.2.1 Research Problem and Aim 34212.2.2 Data Sources and Research Methods 34312.3 Results 34312.3.1 Main Information 34312.3.2 Annual Scientific Production 34412.3.3 The Most Productive Countries 34412.3.4 Author Keywords 34512.3.5 Most Productive and Cited Countries 34712.3.6 Sankey Diagram 34812.3.7 Country Collaboration Network 34812.4 Discussion 34912.5 Conclusion 350References 35013 Escape Room Method in Healthcare: A Bibliometric Analysis 355Esra Özkan13.1 Introduction 35613.1.1 Escape Rooms in Healthcare 35613.1.2 Escape Rooms in Clinical Nursing 35713.1.3 The Theory of Escape Room 35713.2 Material and Method 35813.2.1 Data Extraction and Analysis Process 35913.3 Results 36013.4 Discussions 36313.5 Conclusions 364References 36414 Bibliometric Analysis of Wavelet Transformation Applications in Biosignal and Medical Image Processing 367S. N. Kumar, Linu Tess Antony and Jibil K. John14.1 Introduction 36814.2 Review of the Literature Using Bibliometric Analysis 37014.3 Results and Discussion 37214.4 Conclusion 386References 387Part 5: Artificial Intelligence and Machine Learning 38915 Artificial Intelligence in Business Management: Current Developments and Future Perspectives Through Bibliometric Analysis 391Zekiye Tamer15.1 Introduction 39215.2 Public Relations in Business Management and AI 39315.3 Method 39515.3.1 Bibliometric Analysis 39515.3.2 Research Gaps and Research Questions 39615.3.3 Findings 39615.4 Conclusions 409References 41116 Decision Trees in Transportation Research: Bibliometric Analysis and Future Directions 413Gülay Demir, Prasenjit Chatterjee and Abhijit Saha16.1 Introduction 41416.2 Literature Review 41516.3 Fundamentals of Decision Trees 41616.3.1 Types of Decision Trees 41716.3.2 Applications of Decision Trees 41816.3.3 Basic Components for Decision Trees 41916.3.4 Working Principle of Decision Trees 41916.3.5 Applications of Decision Trees in Transportation 42016.3.6 Decision Tree Model Drawing 42016.4 Research Methodology 42116.4.1 Data Collection 42216.4.2 Bibliometric Analysis Tools 42216.4.3 Data Analysis 42216.4.4 Bibliometric Indicators 42316.4.4.1 Number of Publications and Citations 42316.4.5 Number of Citations 42516.4.6 Author and Organization Analysis 42616.4.7 Country Analysis 42816.4.8 Journal Analysis 42916.4.9 Keyword Analysis 43116.4.10 Trend Analysis 43716.5 Discussion 43916.6 Conclusions and Future Research Directions 441References 44117 Machine Learning in Climate Change from 2015 to 2024: A Bibliometric Analysis 447Minh Thu Nguyen17.1 Introduction 44717.2 Research Methodology 44917.3 Trend of Scientific Articles 45017.3.1 Research Productivity in 2015–2024 Year 45017.3.2 Publication of Scientific Journals 45117.3.3 Output of Author 45317.3.4 Distribution of Country 45517.4 Conclusions 459References 46018 Neuro-Fuzzy Systems and Inference in the Evolution of Intelligent Systems: A Bibliometric Review 463Sefer Darıcı18.1 Introduction 46418.2 Literature 46518.3 Materials and Methods 46618.4 Bibliometric Analysis Results of Neuro-Fuzzy Systems and Inference 46718.4.1 Performance Analysis 46718.4.1.1 Database Overview 46718.4.1.2 Annual Publication and Citation Status 46818.4.1.3 Publication and Citation Status of Journals 46918.4.1.4 The Most Relevant Affiliations 47118.4.1.5 Status of Authors 47118.4.1.6 The Most Productive Countries 47218.4.1.7 Most Cited Document 47418.4.2 Scientific Mapping Analysis 47518.4.2.1 Thematic Map 47518.4.2.2 Trend Topics 47618.4.2.3 Keyword Analysis 47718.5 Discussion 47918.6 Conclusions 482References 48219 Genetic Algorithms in Bioinformatics: A Bibliometric Review 487Ahmet Turan Demir19.1 Introduction 48819.2 Method 49019.2.1 Data Collection 49019.2.2 Data Analysis 49019.2.3 Software Tools 49119.3 Results 49119.3.1 General Information of Publications 49119.3.2 Distribution of Publication and Citation Counts by Year 49219.3.3 Most Cited Articles, Countries, and Journals 49419.3.4 Most Productive Authors, Institutions, Journals, and Countries 49619.3.5 Collaborative Networks and Collaboration Analyses 49919.3.6 Thematic Analysis of Popular Research Topics 50119.3.7 Trend Topics 50319.4 Discussions 50619.5 Future Directions and Implications 50719.6 Conclusions 508References 50920 Swarm Intelligence in Two Decades: Bibliometric Analysis and Research Visualizations 513Ayşe Meriç Yazıcı20.1 Introduction 51320.2 Bibliometric Analysis 51520.3 Methodology 51520.4 Data Analysis and Findings 51520.5 Theoretical and Practical Limitations 52220.6 Future Recommendations 52320.7 Conclusions 523References 52421 Bayesian Methods in Marketing: A Bibliometric Examination of Trends and Patterns 527Bibin Xavier21.1 Introduction 52721.2 Methodology 52921.3 Bibliometric Analysis 53021.3.1 Annual Scientific Production 53021.3.2 Average Citations Per Year 53321.3.3 Most Relevant Sources 53321.3.4 Most Local Cited Sources 53321.3.5 Core Sources by Bradford’s Law 53521.3.6 Sources’ Local Impact 53921.3.7 Most Relevant Authors 54121.3.8 Most Relevant Affiliations 54121.3.9 Countries’ Scientific Production 54221.3.10 Most Global Cited Documents 54321.3.11 Bibliographic Coupling 54521.4 Discussion 54521.5 Conclusions 548References 54822 Bibliometric Analysis of Search Engine Optimization–Based Decision-Making Strategies 551Uzma Mumtaz, Anand Bharathi S., S. Rajamohan and Naseeb Ahmad22.1 Introduction 55222.1.1 Fundamentals of Search Engine Optimization (seo) 55222.1.2 Introduction to Bibliometric Analysis in SEO Decision-Making 55222.1.3 Objectives and Scope of the Chapter 55322.1.4 Selection Criteria for Scopus Search 55422.2 Insights through Research Publication Trends 55422.2.1 Analysis of Annual Publication Trends in Informed SEO Decision-Making Strategies 55422.2.2 Key Milestones and Landmark Publications 55622.2.3 Trends in Publication Activity Over Time 55622.2.4 Impact of External Factors on Publication Trends 55722.3 Prominent Authors, Organizations, and Countries 55722.3.1 Top Authors and Their Citation Impact 55722.3.2 Leading Academic Institutions and Their Contributions 55722.3.3 Global Distribution of Research Output and Impact 55822.4 Most Influential Journals and Articles 55922.4.1 Analysis of Most Influential Journals 55922.4.2 Examination of Highly Cited Articles and their Impact 56022.4.3 Key Insights from Influential Articles 56222.5 Analysis of Co-Citations and Author Co-Citation Networks 56222.5.1 Co-Citation Analysis: Identifying Frequently Cited References 56222.5.2 Author Co-Citation Networks: Mapping Collaborative Partnerships 56422.5.3 Insights from Co-Citation Analysis 56522.6 Keyword Co-Occurrence Analysis 56622.6.1 Top Keywords in Informed SEO Decision-Making Strategies 56622.6.2 Analysis of Keyword Relationships and Frequency 56622.6.3 Insights for Research and Practice 56822.7 Thematic Analysis of Bibliometric Coupling 56922.7.1 Identification of Theme Clusters in Informed SEO-Based Decision-Making Strategies 56922.7.2 Overview of Key Research Themes and Findings 57322.7.3 Implications for Future Research Directions 57322.8 Challenges and Opportunities 57422.8.1 Limitations and Pitfalls of Bibliometric Analysis in SEO 57422.8.2 Opportunities for Further Research and Innovation 57422.8.3 Addressing Challenges in Bibliometric Analysis for Informed SEO Decision-Making 57522.9 Conclusions 57522.9.1 Recap of Key Findings and Insights 57522.9.2 Importance of Bibliometric Analysis in SEO Strategy 57622.9.3 Future Outlook and Recommendations for Practitioners Insights through Research 576Acknowledgment 576References 577Part 6: Technology, Sustainability, and Innovation 58123 Bibliometric Insights into the Nexus of Digital HR, Innovation, and Sustainability: Toward a Smart Workforce 583Shivakami Rajan and L. R. Niranjan23.1 Introduction 58423.1.1 Research Gap 58423.1.2 Research Questions 58423.1.3 Literature Review 58523.1.4 Conceptual Framework 58723.2 Methodology 58823.2.1 Inclusion and Exclusion Criteria 58923.2.2 Data Analysis 58923.3 Results-Bibliometric Findings 58923.3.1 Descriptive Details of Publications 58923.3.2 Keyword Analyses 59023.3.3 Authors 59323.3.4 Findings 59623.4 Discussions 60023.5 Implications 60323.5.1 Industry 60323.5.2 Managerial 60323.6 Future Directions 60423.7 Conclusions 605References 60524 Delineation of Blockchain and Customer Experience: A Review and Thematic Analysis 615Akshay Kumar Mishra and Sandeep Kumar Mohanty24.1 Introduction 61524.2 Conceptual Background: Blockchain and Customer Experience 61724.3 Methodology 61824.4 Bibliometric and Network Analysis 61924.4.1 Performance Analysis 61924.4.2 Influential Documents Analysis 62124.4.3 Keywords and Network Analysis 62324.4.4 Thematic Analysis 62524.4.4.1 Blockchain, Artificial Intelligence, and Customer Experience 62624.4.4.2 Blockchain and Competition 62724.4.4.3 Blockchain and Motivation 62824.4.4.4 Blockchain and Cost Reduction 62824.5 Implications and Future Research Directions 62924.6 Conclusion 632References 63325 A Post-Millennial Bibliometric Analysis of Algorithmic Fairness: Trends, Research Barriers, and Future Directions 639Murat Atan, Mustafa Mehmet Bayar and Irmak Uzun Bayar25.1 Introduction 64025.1.1 Explainable AI and the Fairness Hype from a Data-Driven Decision-Making Perspective 64025.1.2 Why Focus on the Post-Millennial Era? 64125.2 Relevant Bibliometric Analyses 64125.3 Materials and Methods 64325.4 Bibliometric and Network Analysis 64525.4.1 Sources 64525.4.2 Annual Monitoring of Growth 64825.4.3 Language Choices 65025.4.4 Subject Areas 65025.4.5 Keyword Analysis 65325.4.6 Geographical Distribution of Publications and International Collaborations 65625.4.7 Authorship 65725.4.8 Institutional Performance 66425.4.9 Research Barriers and Funding Impact 66625.5 Conclusion 666References 668Index 673