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Betweenness centrality as an indicator of the interdisciplinarity of scientific journals

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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. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Pablo Jensen & Katsiaryna Lutkouskaya, 2014. "The many dimensions of laboratories’ interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 619-631, January.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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).
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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).
  18. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
  19. 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).
  20. 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.
  21. repec:hal:spmain:info:hdl:2441/6urb9g3nsd9s9ai3tbjqnnd41g is not listed on IDEAS
  22. 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.
  23. 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.
  24. Sotaro Shibayama & Jian Wang, 2020. "Measuring originality in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 409-427, January.
  25. 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.
  26. JinHyo Joseph Yun & EuiSeob Jeong & JinSeu Park, 2016. "Network Analysis of Open Innovation," Sustainability, MDPI, vol. 8(8), pages 1-21, July.
  27. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.
  28. 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.
  29. 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.
  30. Rousseau, Ronald & Liu, Yuxian & Guns, Raf, 2013. "Mathematical properties of Q-measures," Journal of Informetrics, Elsevier, vol. 7(3), pages 737-745.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. Hyojeong Lim & Yongtae Park, 2010. "Identification of technological knowledge intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 543-561, September.
  36. 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).
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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).
  43. 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.
  44. 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.
  45. Ernest Aigner, 2021. "Global dynamics and country-level development in academic economics: An explorative cognitive-bibliometric study," SRE-Disc sre-disc-2021_07, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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).
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. Etienne Farvaque & Frédéric Gannon, 2018. "Profiling giants," Post-Print hal-02078382, HAL.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
  67. 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.
  68. 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.
  69. 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).
  70. 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.
  71. Tehmina Amjad & Ying Ding & Ali Daud & Jian Xu & Vincent Malic, 2015. "Topic-based heterogeneous rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 313-334, July.
  72. Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Zhu, You & Xie, Chi & Foglia, Matteo, 2023. "Spreading of cross-market volatility information: Evidence from multiplex network analysis of volatility spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
  73. Guillermo Armando Ronda-Pupo & Thong Pham, 2018. "The evolutions of the rich get richer and the fit get richer phenomena in scholarly networks: the case of the strategic management journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 363-383, July.
  74. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
  75. Ran Xu & Navid Ghaffarzadegan, 2018. "Neuroscience bridging scientific disciplines in health: Who builds the bridge, who pays for it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1183-1204, November.
  76. 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).
  77. Chen, Chaomei & Chen, Yue & Horowitz, Mark & Hou, Haiyan & Liu, Zeyuan & Pellegrino, Donald, 2009. "Towards an explanatory and computational theory of scientific discovery," Journal of Informetrics, Elsevier, vol. 3(3), pages 191-209.
  78. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
  79. Saikou Y. Diallo & Christopher J. Lynch & Ross Gore & Jose J. Padilla, 2016. "Identifying key papers within a journal via network centrality measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1005-1020, June.
  80. Mark Kibanov & Raphael H. Heiberger & Simone Rödder & Martin Atzmueller & Gerd Stumme, 2019. "Social studies of scholarly life with sensor-based ethnographic observations," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1387-1428, June.
  81. 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.
  82. Liaquat Hossain & Faezeh Karimi & Rolf T. Wigand & John W. Crawford, 2015. "Evolutionary longitudinal network dynamics of global zoonotic research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 337-353, May.
  83. 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.
  84. 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.
  85. 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.
  86. 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).
  87. 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.
  88. 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.
  89. 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.
  90. 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.
  91. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
  92. Gohar Feroz Khan, 2013. "Social media-based systems: an emerging area of information systems research and practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 159-180, April.
  93. Bilong Shen & Weimin Zheng & Kathleen M. Carley, 2018. "Urban Activity Mining Framework for Ride Sharing Systems Based on Vehicular Social Networks," Networks and Spatial Economics, Springer, vol. 18(3), pages 705-734, September.
  94. Sun, Xiaoqi & An, Haizhong & Gao, Xiangyun & Jia, Xiaoliang & Liu, Xiaojia, 2016. "Indirect energy flow between industrial sectors in China: A complex network approach," Energy, Elsevier, vol. 94(C), pages 195-205.
  95. Leila Tahmooresnejad & Catherine Beaudry, 2019. "Collaboration or funding: lessons from a study of nanotechnology patenting in Canada and the United States," The Journal of Technology Transfer, Springer, vol. 44(3), pages 741-777, June.
  96. Wooseok Jang & Heeyeul Kwon & Yongtae Park & Hakyeon Lee, 2018. "Predicting the degree of interdisciplinarity in academic fields: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 231-254, July.
  97. Hu, Xiaojun & Rousseau, Ronald & Chen, Jin, 2011. "Time series of outgrow indices," Journal of Informetrics, Elsevier, vol. 5(3), pages 413-421.
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