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Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?

Citations

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Cited by:

  1. Rey-Long Liu, 2017. "A new bibliographic coupling measure with descriptive capability," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 915-935, February.
  2. Nauman Majeed & Sulaiman Ainin, 2021. "Visualizing the evolution and landscape of socio-economic impact research," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 637-659, April.
  3. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
  4. Kyebambe, Moses Ntanda & Cheng, Ge & Huang, Yunqing & He, Chunhui & Zhang, Zhenyu, 2017. "Forecasting emerging technologies: A supervised learning approach through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 236-244.
  5. Pattarin Sanguankaew & Vichita Vathanophas Ractham, 2019. "Bibliometric Review of Research on Knowledge Management and Sustainability, 1994–2018," Sustainability, MDPI, vol. 11(16), pages 1-20, August.
  6. Arash Najmaei & Zahra Sadeghinejad, 2023. "Green and sustainable business models: historical roots, growth trajectory, conceptual architecture and an agenda for future research—A bibliometric review of green and sustainable business models," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 957-999, February.
  7. Sziklai, Balázs R., 2021. "Ranking institutions within a discipline: The steep mountain of academic excellence," Journal of Informetrics, Elsevier, vol. 15(2).
  8. Edgar Schiebel, 2012. "Visualization of research fronts and knowledge bases by three-dimensional areal densities of bibliographically coupled publications and co-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 557-566, May.
  9. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
  10. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
  11. Fabian Meyer-Brötz & Edgar Schiebel & Leo Brecht, 2017. "Experimental evaluation of parameter settings in calculation of hybrid similarities: effects of first- and second-order similarity, edge cutting, and weighting factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1307-1325, June.
  12. Mu-hsuan Huang & Chia-Pin Chang, 2015. "A comparative study on detecting research fronts in the organic light-emitting diode (OLED) field using bibliographic coupling and co-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2041-2057, March.
  13. Mingchun Cao & Ilan Alon, 2020. "Intellectual Structure of the Belt and Road Initiative Research: A Scientometric Analysis and Suggestions for a Future Research Agenda," Sustainability, MDPI, vol. 12(17), pages 1-40, August.
  14. Cleomar Marcos Fabrizio & Fabíola Kaczam & Gilnei Luiz Moura & Luciana Santos Costa Vieira Silva & Wesley Vieira Silva & Claudimar Pereira Veiga, 2022. "Competitive advantage and dynamic capability in small and medium-sized enterprises: a systematic literature review and future research directions," Review of Managerial Science, Springer, vol. 16(3), pages 617-648, April.
  15. Perez-Vega, Rodrigo & Hopkinson, Paul & Singhal, Aishwarya & Mariani, Marcello M., 2022. "From CRM to social CRM: A bibliometric review and research agenda for consumer research," Journal of Business Research, Elsevier, vol. 151(C), pages 1-16.
  16. Liu, Xiang & Jiang, Tingting & Ma, Feicheng, 2013. "Collective dynamics in knowledge networks: Emerging trends analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 425-438.
  17. Sara Sassetti & Giacomo Marzi & Vincenzo Cavaliere & Cristiano Ciappei, 2018. "Entrepreneurial cognition and socially situated approach: a systematic and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1675-1718, September.
  18. Xinhai Liu & Wolfgang Glänzel & Bart De Moor, 2011. "Hybrid clustering of multi-view data via Tucker-2 model and its application," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 819-839, September.
  19. Astrid Kainzbauer & Parisa Rungruang & Philip Hallinger, 2021. "How Does Research on Sustainable Human Resource Management Contribute to Corporate Sustainability: A Document Co-Citation Analysis, 1982–2021," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
  20. Mohammad Fakhar Manesh & Giulia Flamini & Damiano Petrolo & Rocco Palumbo, 2022. "A round of dancing and then one more: embedding intuition in the ballet of entrepreneurial decision making," International Entrepreneurship and Management Journal, Springer, vol. 18(2), pages 499-528, June.
  21. Zhen Liu & Lingfeng Ren & Chang Xiao & Ke Zhang & Peter Demian, 2022. "Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis," IJERPH, MDPI, vol. 19(3), pages 1-26, January.
  22. Anna Kiss & Péter Fritz & Zoltán Lakner & Sándor Soós, 2020. "Linking the dimensions of policy-related research on obesity: a hybrid mapping with multicluster topics and interdisciplinarity maps," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 159-213, January.
  23. Pranpreya Sriwannawit & Ulf Sandström, 2015. "Large-scale bibliometric review of diffusion research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1615-1645, February.
  24. Suominen, Arho & Peng, Haoshu & Ranaei, Samira, 2019. "Examining the dynamics of an emerging research network using the case of triboelectric nanogenerators," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 820-830.
  25. Adam Kozakiewicz & Andrzej Lis, 2021. "Energy Efficiency in Cloud Computing: Exploring the Intellectual Structure of the Research Field and Its Research Fronts with Direct Citation Analysis," Energies, MDPI, vol. 14(21), pages 1-17, October.
  26. Yi Feng & Shaoze Cui, 2021. "A review of emergency response in disasters: present and future perspectives," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 1109-1138, January.
  27. Xu, Shuo & Hao, Liyuan & An, Xin & Yang, Guancan & Wang, Feifei, 2019. "Emerging research topics detection with multiple machine learning models," Journal of Informetrics, Elsevier, vol. 13(4).
  28. Thelwall, Mike & Kousha, Kayvan & Stuart, Emma & Makita, Meiko & Abdoli, Mahshid & Wilson, Paul & Levitt, Jonathan, 2023. "Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations?," Research Policy, Elsevier, vol. 52(8).
  29. Chao Zhang & Jiancheng Guan, 2017. "How to identify metaknowledge trends and features in a certain research field? Evidences from innovation and entrepreneurial ecosystem," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1177-1197, November.
  30. Silvia Ferramosca & Roberto Verona, 2020. "Framing the evolution of corporate social responsibility as a discipline (1973–2018): A large‐scale scientometric analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(1), pages 178-203, January.
  31. Benatti, Alexandre & Ferraz de Arrruda, Henrique & Nascimento Silva, Filipi & da Fontoura Costa, Luciano, 2021. "Enriching and analyzing small citation networks: A case study on transistor’s history," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  32. Marco Galvagno, 2017. "Bibliometric literature review: An opportunity for marketing scholars," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2017(4), pages 7-15.
  33. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  34. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
  35. Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
  36. Inchae Park & Byungun Yoon, 2018. "Identifying Promising Research Frontiers of Pattern Recognition through Bibliometric Analysis," Sustainability, MDPI, vol. 10(11), pages 1-32, November.
  37. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
  38. Kou, Mingting & Yang, Yuanqi & Chen, Kaihua, 2024. "Financial technology research: Past and future trajectories," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 162-181.
  39. Mariana Reis Maria & Rosangela Ballini & Roney Fraga Souza, 2023. "Evolution of Green Finance: A Bibliometric Analysis through Complex Networks and Machine Learning," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
  40. Viergutz, Tim & Schulze-Ehlers, Birgit, 2018. "The use of hybrid scientometric clustering for systematic literature reviews in business and economics," DARE Discussion Papers 1804, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
  41. Wolfgang Glänzel & Bart Thijs, 2017. "Using hybrid methods and ‘core documents’ for the representation of clusters and topics: the astronomy dataset," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1071-1087, May.
  42. Kseniia Boiko, 2022. "R&D activity and firm performance: mapping the field," Management Review Quarterly, Springer, vol. 72(4), pages 1051-1087, December.
  43. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
  44. Peter Viebahn & Emile J. L. Chappin, 2018. "Scrutinising the Gap between the Expected and Actual Deployment of Carbon Capture and Storage—A Bibliometric Analysis," Energies, MDPI, vol. 11(9), pages 1-45, September.
  45. Igors Skute, 2019. "Opening the black box of academic entrepreneurship: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 237-265, July.
  46. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
  47. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
  48. Yiming Xiao & Han Wu & Guohua Wang & Hong Mei, 2021. "Mapping the Worldwide Trends on Energy Poverty Research: A Bibliometric Analysis (1999–2019)," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
  49. Wolfgang Glänzel & Bart Thijs, 2012. "Using ‘core documents’ for detecting and labelling new emerging topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 399-416, May.
  50. Song Yanhui & Wu Lijuan & Qiu Junping, 2021. "A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1125-1147, February.
  51. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  52. Tandon, Anushree & Kaur, Puneet & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Blockchain applications in management: A bibliometric analysis and literature review," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  53. Shubham Singhania & Jagvinder Singh & Deepti Aggrawal, 2023. "Gender diversity on board and corporate sustainability: a quantitative review based on bibliometric mapping," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 267-286, February.
  54. Samuel Ribeiro-Navarrete & Juan Piñeiro-Chousa & M. Ángeles López-Cabarcos & Daniel Palacios-Marqués, 2022. "Crowdlending: mapping the core literature and research frontiers," Review of Managerial Science, Springer, vol. 16(8), pages 2381-2411, November.
  55. Ana Teixeira de Melo & Leo Simon Dominic Caves & Anna Dewitt & Evie Clutton & Rory Macpherson & Philip Garnett, 2020. "Thinking (in) complexity: (In) definitions and (mis)conceptions," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(1), pages 154-169, January.
  56. Chris W. Belter, 2013. "A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 629-644, May.
  57. Yan, Erjia & Ding, Ying & Milojević, Staša & Sugimoto, Cassidy R., 2012. "Topics in dynamic research communities: An exploratory study for the field of information retrieval," Journal of Informetrics, Elsevier, vol. 6(1), pages 140-153.
  58. Jochen Gläser & Wolfgang Glänzel & Andrea Scharnhorst, 2017. "Same data—different results? Towards a comparative approach to the identification of thematic structures in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 981-998, May.
  59. Veronica Paul Kundy & Kamini Shah, 2024. "The knowledge base of financial technology: a bibliometric analysis review," SN Business & Economics, Springer, vol. 4(7), pages 1-22, July.
  60. Sooksan Kantabutra, 2023. "What do We Know about Vision? A Sustainability Lens," Sustainability, MDPI, vol. 15(10), pages 1-27, May.
  61. Jinesh Jain & Nidhi Walia & Simarjeet Singh & Esha Jain, 2022. "Mapping the field of behavioural biases: a literature review using bibliometric analysis," Management Review Quarterly, Springer, vol. 72(3), pages 823-855, September.
  62. Nees Jan Eck & Ludo Waltman, 2017. "Citation-based clustering of publications using CitNetExplorer and VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1053-1070, May.
  63. Ana Joana Fernandes & Joao J. Ferreira, 2022. "Entrepreneurial ecosystems and networks: a literature review and research agenda," Review of Managerial Science, Springer, vol. 16(1), pages 189-247, January.
  64. Caloffi, Annalisa & Colovic, Ana & Rizzoli, Valentina & Rossi, Federica, 2023. "Innovation intermediaries' types and functions: A computational analysis of the literature," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  65. Marianne Hörlesberger & Ivana Roche & Dominique Besagni & Thomas Scherngell & Claire François & Pascal Cuxac & Edgar Schiebel & Michel Zitt & Dirk Holste, 2013. "A concept for inferring ‘frontier research’ in grant proposals," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 129-148, November.
  66. Forliano, Canio & De Bernardi, Paola & Yahiaoui, Dorra, 2021. "Entrepreneurial universities: A bibliometric analysis within the business and management domains," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  67. Hervas Oliver,Jose Luis & Gonzalez,Gregorio & Caja,Pedro, 2014. "Clusters and industrial districts: where is the literature going? Identifying emerging sub-fields of research," INGENIO (CSIC-UPV) Working Paper Series 201409, INGENIO (CSIC-UPV).
  68. Jan Lampe & Priscilla Sarai Kraft & Andreas Bausch, 2020. "Mapping the Field of Research on Entrepreneurial Organizations (1937–2016): A Bibliometric Analysis and Research Agenda," Entrepreneurship Theory and Practice, , vol. 44(4), pages 784-816, July.
  69. Ratinho, Tiago & Bruneel, Johan, 2024. "Taking stock of research on hybrid organizations: Enriching theoretical perspectives, extending empirical contexts, and expanding practical relevance," Journal of Business Research, Elsevier, vol. 170(C).
  70. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
  71. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
  72. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
  73. Natália L. Figueiredo & João J. M. Ferreira, 2022. "More than meets the partner: a systematic review and agenda for University–Industry cooperation," Management Review Quarterly, Springer, vol. 72(1), pages 231-273, February.
  74. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  75. Chilou Zhou & Yingjie Ren & Xinrui Yan & Yiran Zheng & Baoqing Liu, 2022. "A Bibliometric and Visualized Overview of Hydrogen Embrittlement from 1997 to 2022," Energies, MDPI, vol. 15(23), pages 1-22, December.
  76. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
  77. Suthep Nimsai & Chanin Yoopetch & Polin Lai, 2020. "Mapping the Knowledge Base of Sustainable Supply Chain Management: A Bibliometric Literature Review," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
  78. Yadong Wang & Khaldoon Albitar & Imad Chbib, 2024. "Connecting the dots: A systematic review of corporate social responsibility, information asymmetry, and economic implications," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 5012-5031, September.
  79. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
  80. Muñoz-Écija, Teresa & Vargas-Quesada, Benjamín & Chinchilla Rodríguez, Zaida, 2019. "Coping with methods for delineating emerging fields: Nanoscience and nanotechnology as a case study," Journal of Informetrics, Elsevier, vol. 13(4).
  81. Small, Henry & Boyack, Kevin W. & Klavans, Richard, 2014. "Identifying emerging topics in science and technology," Research Policy, Elsevier, vol. 43(8), pages 1450-1467.
  82. Elie, Luc & Granier, Caroline & Rigot, Sandra, 2021. "The different types of renewable energy finance: A Bibliometric analysis," Energy Economics, Elsevier, vol. 93(C).
  83. Ding, Ying, 2011. "Community detection: Topological vs. topical," Journal of Informetrics, Elsevier, vol. 5(4), pages 498-514.
  84. Cai, Fang & Zheng, Wen-Jiang & Zhang, Xiao & Ji, Jiu-Ming & Zhou, Wei-Xing, 2019. "Comparing selection strategies for engineering research hotspots," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
  85. Adrián Kovács & Bart Looy & Bruno Cassiman, 2015. "Exploring the scope of open innovation: a bibliometric review of a decade of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 951-983, September.
  86. Zhang, Yi & Shang, Lining & Huang, Lu & Porter, Alan L. & Zhang, Guangquan & Lu, Jie & Zhu, Donghua, 2016. "A hybrid similarity measure method for patent portfolio analysis," Journal of Informetrics, Elsevier, vol. 10(4), pages 1108-1130.
  87. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
  88. Oleg Dashkevych & Boris A. Portnov, 2022. "Criteria for Smart City Identification: A Systematic Literature Review," Sustainability, MDPI, vol. 14(8), pages 1-34, April.
  89. Yun, Jinhyuk, 2022. "Generalization of bibliographic coupling and co-citation using the node split network," Journal of Informetrics, Elsevier, vol. 16(2).
  90. Gómez-Núñez, Antonio J. & Batagelj, Vladimir & Vargas-Quesada, Benjamín & Moya-Anegón, Félix & Chinchilla-Rodríguez, Zaida, 2014. "Optimizing SCImago Journal & Country Rank classification by community detection," Journal of Informetrics, Elsevier, vol. 8(2), pages 369-383.
  91. Cannavacciuolo, Lorella & Ferraro, Giovanna & Ponsiglione, Cristina & Primario, Simonetta & Quinto, Ivana, 2023. "Technological innovation-enabling industry 4.0 paradigm: A systematic literature review," Technovation, Elsevier, vol. 124(C).
  92. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
  93. Ketan Bhatt & Claudia Seabra & Sunil Kumar Kabia & Kumar Ashutosh & Amit Gangotia, 2022. "COVID Crisis and Tourism Sustainability: An Insightful Bibliometric Analysis," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
  94. Daniele Fanelli & Wolfgang Glänzel, 2013. "Bibliometric Evidence for a Hierarchy of the Sciences," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
  95. Fang Han & Christopher L. Magee, 2018. "Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 767-796, August.
  96. Yu-Wei Chang & Mu-Hsuan Huang & Chiao-Wen Lin, 2015. "Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2071-2087, December.
  97. Sitaram Devarakonda & Dmitriy Korobskiy & Tandy Warnow & George Chacko, 2020. "Viewing computer science through citation analysis: Salton and Bergmark Redux," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 271-287, October.
  98. van der Have, Robert P. & Rubalcaba, Luis, 2016. "Social innovation research: An emerging area of innovation studies?," Research Policy, Elsevier, vol. 45(9), pages 1923-1935.
  99. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
  100. Minh Nguyen Quang & Tim Rogers & Jan Hofman & Ana B Lanham, 2019. "New framework for automated article selection applied to a literature review of Enhanced Biological Phosphorus Removal," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-42, May.
  101. Dorsa Alipour & Hussein Dia, 2023. "A Systematic Review of the Role of Land Use, Transport, and Energy-Environment Integration in Shaping Sustainable Cities," Sustainability, MDPI, vol. 15(8), pages 1-29, April.
  102. Mahfuzur Rahman & Che Ruhana Isa & Teng-Tsai Tu & Moniruzzaman Sarker & Md. Abdul Kaium Masud, 2020. "A bibliometric analysis of socially responsible investment sukuk literature," Asian Journal of Sustainability and Social Responsibility, Springer, vol. 5(1), pages 1-19, December.
  103. Shome, Samik & Hassan, M. Kabir & Verma, Sushma & Panigrahi, Tushar Ranjan, 2023. "Impact investment for sustainable development: A bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 770-800.
  104. Chaturvedi, Rijul & Verma, Sanjeev & Das, Ronnie & Dwivedi, Yogesh K., 2023. "Social companionship with artificial intelligence: Recent trends and future avenues," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  105. Eunice Maria M. N. Dos Santos & João J. Ferreira, 2017. "Analyzing Informal Entrepreneurship: A Bibliometric Survey," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-20, December.
  106. Li, Menghui & Yang, Liying & Zhang, Huina & Shen, Zhesi & Wu, Chensheng & Wu, Jinshan, 2017. "Do mathematicians, economists and biomedical scientists trace large topics more strongly than physicists?," Journal of Informetrics, Elsevier, vol. 11(2), pages 598-607.
  107. Moshe Blidstein & Maayan Zhitomirsky-Geffet, 2022. "Towards a new generic framework for citation network generation and analysis in the humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4275-4297, July.
  108. Yulei Xie & Ling Ji & Beibei Zhang & Gordon Huang, 2018. "Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
  109. Tanskanen, Kari & Ahola, Tuomas & Aminoff, Anna & Bragge, Johanna & Kaipia, Riikka & Kauppi, Katri, 2017. "Towards evidence-based management of external resources: Developing design propositions and future research avenues through research synthesis," Research Policy, Elsevier, vol. 46(6), pages 1087-1105.
  110. Rocco Palumbo & Mohammad Fakhar Manesh & Massimiliano M. Pellegrini & Giulia Flamini, 2020. "Exploiting Inter-Organizational Relationships in Health Care: A Bibliometric Analysis and Literature Review," Administrative Sciences, MDPI, vol. 10(3), pages 1-22, August.
  111. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
  112. Yang, Siluo & Wang, Feifei, 2015. "Visualizing information science: Author direct citation analysis in China and around the world," Journal of Informetrics, Elsevier, vol. 9(1), pages 208-225.
  113. Bu, Yi & Ni, Shaokang & Huang, Win-bin, 2017. "Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappings," Journal of Informetrics, Elsevier, vol. 11(3), pages 810-822.
  114. Diego Kozlowski & Jennifer Dusdal & Jun Pang & Andreas Zilian, 2021. "Semantic and relational spaces in science of science: deep learning models for article vectorisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5881-5910, July.
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