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Betweenness centrality as an indicator of the interdisciplinarity of scientific journals

Citations

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Cited by:

  1. 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.
  2. Gaoran Chen & Wenqi Chen & Shaojie Qi & Daniel T. L. Shek, 2024. "Improving Child and Adolescent Mental Health: A Bibliometric Analysis of Related Intervention Studies," IJERPH, MDPI, vol. 21(12), pages 1-17, November.
  3. Mishra, Sabyasachee & Welch, Timothy F. & Jha, Manoj K., 2012. "Performance indicators for public transit connectivity in multi-modal transportation networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1066-1085.
  4. Konstantin Fursov & Alina Kadyrova, 2017. "How the analysis of transitionary references in knowledge networks and their centrality characteristics helps in understanding the genesis of growing technology areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1947-1963, June.
  5. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
  6. An, Pengli & Xu, Qianqian, 2024. "Detecting the local characteristics from the iron ore import competition intensity among nations: A network-based resource allocation process method," Resources Policy, Elsevier, vol. 97(C).
  7. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
  8. Pablo Jensen & Katsiaryna Lutkouskaya, 2014. "The many dimensions of laboratories’ interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 619-631, January.
  9. Qian Yu & Zhongjun Wei & Nian Liu, 2025. "Mapping the path to interdisciplinary innovation: a study of key roles in disciplinary convergence," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 909-935, February.
  10. 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.
  11. Can Huang & Ad Notten & Nico Rasters, 2011. "Nanoscience and technology publications and patents: a review of social science studies and search strategies," The Journal of Technology Transfer, Springer, vol. 36(2), pages 145-172, April.
  12. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
  13. Jingwei Zheng & Ke Zhang & Boya Han & Jiayi Hou, 2023. "Research Interdisciplinarity and Citation Impact: A Network Analysis of Social Networking Sites Research," SAGE Open, , vol. 13(3), pages 21582440231, August.
  14. Shi, Jianglan & Li, Huajiao & Guan, Jianhe & Sun, Xiaoqi & Guan, Qing & Liu, Xiaojia, 2017. "Evolutionary features of global embodied energy flow between sectors: A complex network approach," Energy, Elsevier, vol. 140(P1), pages 395-405.
  15. Frid-Nielsen, Snorre Sylvester & Rubin, Olivier & Baekkeskov, Erik, 2019. "The state of social science research on antimicrobial resistance," Social Science & Medicine, Elsevier, vol. 242(C).
  16. Tanmoy Chakraborty, 2018. "Role of interdisciplinarity in computer sciences: quantification, impact and life trajectory," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1011-1029, March.
  17. 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.
  18. Sándor Soós & George Kampis, 2012. "Beyond the basemap of science: mapping multiple structures in research portfolios: evidence from Hungary," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 869-891, December.
  19. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
  20. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Kraus, Sascha & Bamel, Umesh, 2022. "Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
  21. Zhang, Shuai & Yang, Dewei & Ji, Yijia & Meng, Haishan & Zhou, Tian & Zhang, Junmei & Yang, Hang, 2024. "Spatio-temporal patterns and cascading risks of embodied energy flows in China," Energy, Elsevier, vol. 298(C).
  22. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
  23. Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
  24. Eunhye Park & Woo-Hyuk Kim, 2022. "A Retrospective Literature Review of Eating Disorder Research (1990–2021): Application of Bibliometrics and Topical Trends," IJERPH, MDPI, vol. 19(13), pages 1-23, June.
  25. Du, Anbang & Head, Michael & Brede, Markus, 2025. "Integration vs segregation: Network analysis of interdisciplinarity in funded and unfunded research on infectious diseases," Journal of Informetrics, Elsevier, vol. 19(1).
  26. Urdiales, Cristina & Guzmán, Eduardo, 2024. "An automatic and association-based procedure for hierarchical publication subject categorization," Journal of Informetrics, Elsevier, vol. 18(1).
  27. Wei Wang & Dechao Ma & Fengzhi Wu & Mengxin Sun & Shuangqing Xu & Qiuyue Hua & Ziyuan Sun, 2023. "Exploring the Knowledge Structure and Hotspot Evolution of Greenwashing: A Visual Analysis Based on Bibliometrics," Sustainability, MDPI, vol. 15(3), pages 1-35, January.
  28. Youtao Xiang & Sumuya Borjigin, 2024. "High–low volatility spillover network between economic policy uncertainty and commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(8), pages 1295-1319, August.
  29. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
  30. Sotaro Shibayama & Jian Wang, 2020. "Measuring originality in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 409-427, January.
  31. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
  32. JinHyo Joseph Yun & EuiSeob Jeong & JinSeu Park, 2016. "Network Analysis of Open Innovation," Sustainability, MDPI, vol. 8(8), pages 1-21, July.
  33. Snorre Sylvester Frid-Nielsen & Mads Dagnis Jensen, 2021. "Maps of Behavioural Economics: Evidence from the Field," Journal of Interdisciplinary Economics, , vol. 33(2), pages 226-250, July.
  34. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
  35. Jiming Hu & Yin Zhang, 2017. "Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 91-109, July.
  36. Leah G. Nichols, 2014. "A topic model approach to measuring interdisciplinarity at the National Science Foundation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 741-754, September.
  37. Rousseau, Ronald & Liu, Yuxian & Guns, Raf, 2013. "Mathematical properties of Q-measures," Journal of Informetrics, Elsevier, vol. 7(3), pages 737-745.
  38. Etienne Farvaque & Frédéric Gannon, 2018. "Profiling giants: the networks and influence of Buchanan and Tullock," Public Choice, Springer, vol. 175(3), pages 277-302, June.
  39. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
  40. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
  41. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
  42. Hyojeong Lim & Yongtae Park, 2010. "Identification of technological knowledge intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 543-561, September.
  43. 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).
  44. Thara Prabhakaran & Hiran H. Lathabai & Susan George, 2019. "Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 941-977, March.
  45. Yan, Weiwei & Zhang, Yin, 2018. "Research universities on the ResearchGate social networking site: An examination of institutional differences, research activity level, and social networks formed," Journal of Informetrics, Elsevier, vol. 12(1), pages 385-400.
  46. Bei Zeng & Haihua Lyu & Zhenyue Zhao & Jiang Li, 2021. "Exploring the direction and diversity of interdisciplinary knowledge diffusion: A case study of professor Zeyuan Liu's scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6253-6272, July.
  47. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
  48. Inácio Sousa Fadigas & Marcos Grilo & Hernane Borges Barros Pereira, 2023. "Scientific journal disciplinarity quantification and sorting using a network index," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2563-2573, June.
  49. Shunshun Shi & Lin Zhang & Ying Huang, 2025. "Indicating interdisciplinarity: towards a tentative taxonomy according to problem solving in COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(12), pages 6879-6908, December.
  50. Ren, Bo & Li, Huajiao & Shi, Jianglan & Liu, Yanxin & Qi, Yajie, 2022. "Identifying the key sectors and paths of the embodied energy in BRICS nations: A weighted multilayer network approach," Energy, Elsevier, vol. 239(PB).
  51. Xuefeng Wang & Zhinan Wang & Ying Huang & Yun Chen & Yi Zhang & Huichao Ren & Rongrong Li & Jinhui Pang, 2017. "Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2023-2039, June.
  52. Fengchao Liu & Na Zhang & Cong Cao, 2017. "An evolutionary process of global nanotechnology collaboration: a social network analysis of patents at USPTO," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1449-1465, June.
  53. Peter Besselaar, 2025. "Circling around interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(6), pages 3293-3311, June.
  54. Ren, Linlin & Guo, Lei & Yu, Hui & Guo, Feng & Wang, Xinhua & Han, Xiaohui, 2025. "Collaborating with top scientists may not improve paper novelty: A causal analysis based on the propensity score matching method," Journal of Informetrics, Elsevier, vol. 19(1).
  55. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
  56. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
  57. Silva, F.N. & Rodrigues, F.A. & Oliveira, O.N. & da F. Costa, L., 2013. "Quantifying the interdisciplinarity of scientific journals and fields," Journal of Informetrics, Elsevier, vol. 7(2), pages 469-477.
  58. Marco Seeber & Jef Vlegels & Mattia Cattaneo, 2022. "Conditions that do or do not disadvantage interdisciplinary research proposals in project evaluation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1106-1126, August.
  59. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
  60. Loureiro, Paulo Maia & Conceição, Cristina Palma, 2019. "Emerging patterns in the academic literature on responsible research and innovation," Technology in Society, Elsevier, vol. 58(C).
  61. An‐Pang Wang & Che‐Wei Chang & Juin‐Ming Tsai & Shiu‐Wan Hung, 2021. "A performance evaluation of Major League Baseball teams: An integrated social network and data envelopment analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1421-1434, September.
  62. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
  63. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
  64. Lin Zhang & Wolfgang Glänzel & Liming Liang, 2009. "Tracing the role of individual journals in a cross-citation network based on different indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 821-838, December.
  65. Xiomara S. Q. Chacon & Thiago C. Silva & Diego R. Amancio, 2020. "Comparing the impact of subfields in scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 625-639, October.
  66. Ismael Rafols, 2025. "Towards multiple ontologies in science mapping. A tribute to Loet Leydesdorff," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(6), pages 3229-3255, June.
  67. Caroline S. Wagner, 2025. "International science collaboration as a complex adaptive system in the work of Loet Leydesdorff," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(6), pages 3183-3193, June.
  68. Hephzibah Beula John & Mini Agrawal & Priyanka Nema & Arif Hasan & Isha Kaur Rakhra & Abhilasha Singh, 2025. "Green growth: a bibliometric analysis of digital innovation and Sustainable Development Goals (SDGs)," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-18, December.
  69. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
  70. A. Abrizah & A. Noorhidawati & A. N. Zainab, 2015. "LIS journals categorization in the Journal Citation Report: a stated preference study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1083-1099, February.
  71. Sai Dileep Koneru & David Rench McCauley & Michael C Smith & David Guarrera & Jenn Robinson & Sarah Rajtmajer, 2023. "The evolution of scientific literature as metastable knowledge states," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-19, July.
  72. Peter Klimek & Aleksandar Jovanovic & Rainer Egloff & Reto Schneider, 2016. "Successful fish go with the flow: citation impact prediction based on centrality measures for term–document networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1265-1282, June.
  73. Shiu-Wan Hung & An-Pang Wang, 2010. "Examining the small world phenomenon in the patent citation network: a case study of the radio frequency identification (RFID) network," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 121-134, January.
  74. Elizabeth S. Vieira & José A. N. F. Gomes, 2011. "The journal relative impact: an indicator for journal assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 631-651, November.
  75. Etienne Farvaque & Frédéric Gannon, 2018. "Profiling giants," Post-Print hal-02078382, HAL.
  76. Witting Antje, 2015. "Measuring the Use of Knowledge in Policy Development," Central European Journal of Public Policy, Sciendo, vol. 9(2), pages 54-62, December.
  77. Katalin Orosz & Illés J. Farkas & Péter Pollner, 2016. "Quantifying the changing role of past publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 829-853, August.
  78. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
  79. Chie Hoon Song, 2021. "Exploring and Predicting the Knowledge Development in the Field of Energy Storage: Evidence from the Emerging Startup Landscape," Energies, MDPI, vol. 14(18), pages 1-20, September.
  80. Qing Xie & Xinyuan Zhang, 2023. "Exploring the correlation between acknowledgees’ contributions and their academic performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(11), pages 6003-6027, November.
  81. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
  82. Chiara Carusi & Giuseppe Bianchi, 2020. "A look at interdisciplinarity using bipartite scholar/journal networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 867-894, February.
  83. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
  84. Ozcan, Sercan & Suloglu, Metin & Sakar, C. Okan & Chatufale, Sushant, 2021. "Social media mining for ideation: Identification of sustainable solutions and opinions," Technovation, Elsevier, vol. 107(C).
  85. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
  86. Yalcin, Haydar & Daim, Tugrul & Moughari, Mahdieh Mokhtari & Mermoud, Alain, 2024. "Supercomputers and quantum computing on the axis of cyber security," Technology in Society, Elsevier, vol. 77(C).
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  104. Raymundo das Neves Machado & Benjamín Vargas-Quesada & Jacqueline Leta, 2016. "Intellectual structure in stem cell research: exploring Brazilian scientific articles from 2001 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 525-537, February.
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  106. Lina Xu & Steven Dellaportas & Zhiqiang Yang & Jin Wang, 2023. "More on the relationship between interdisciplinary accounting research and citation impact," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4779-4803, December.
  107. Yawen Zou & Manfred D. Laubichler, 2017. "Measuring the contributions of Chinese scholars to the research field of systems biology from 2005 to 2013," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1615-1631, March.
  108. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
  109. Nesari, Mohammad & Naghizadeh, Mohammad & Ghazinoori, Soroush & Manteghi, Manoochehr, 2022. "The evolution of socio-technical transition studies: A scientometric analysis," Technology in Society, Elsevier, vol. 68(C).
  110. Yunhan Liu & Xia Xu & Shuqing Li, 2025. "Understanding of evolutionary features in the library and information science with interdisciplinary network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 781-808, February.
  111. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.
  112. Yi Bu & Mengyang Li & Weiye Gu & Win‐bin Huang, 2021. "Topic diversity: A discipline scheme‐free diversity measurement for journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(5), pages 523-539, May.
  113. Henrique F. Arruda & Cesar H. Comin & Luciano da F. Costa, 2018. "How integrated are theoretical and applied physics?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1113-1121, August.
  114. Fabian Jintae Froese & Ashish Malik & Satish Kumar & Saumyaranjan Sahoo, 2022. "Asian business and management: review and future directions," Asian Business & Management, Palgrave Macmillan, vol. 21(5), pages 657-689, November.
  115. Wang, Duo & Sipahi, Rifat, 2024. "Betweenness centrality can inform stability and delay margin in a large-scale connected vehicle system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
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