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Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account

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Cited by:

  1. 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.
  2. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
  3. Jian Xu & Yi Bu & Ying Ding & Sinan Yang & Hongli Zhang & Chen Yu & Lin Sun, 2018. "Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 973-995, November.
  4. Jianbing Ma & Kexin Yang, 2025. "A three-dimensional framework for quantifying knowledge intersection intensity: from a micro perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(1), pages 367-398, January.
  5. Xi Wang & Dongqiao Li & Xiwen Liu & Zhiqiang Wang, 2025. "Measuring knowledge flow in the interdisciplinary field of biosecurity: full counting method or fractional counting method?," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 1101-1128, February.
  6. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
  7. Jiandong Zhang & Zhesi Shen, 2024. "Analyzing journal category assignment using a paper-level classification system: multidisciplinary sciences journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 5963-5978, October.
  8. Qian Yu & Xiuwen Li & Ding Ma & Li Zhang & Kexin Chen & Qiang Xue & Qingjie Zhang, 2024. "Interdisciplinary hierarchical diversity driving disruption," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(12), pages 7833-7849, December.
  9. Núria Bautista-Puig & Jorge Mañana-Rodríguez & Antonio Eleazar Serrano-López, 2021. "Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3871-3892, May.
  10. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Zhang, Lin, 2018. "A comparison of two approaches for measuring interdisciplinary research output: The disciplinary diversity of authors vs the disciplinary diversity of the reference list," Journal of Informetrics, Elsevier, vol. 12(4), pages 1182-1193.
  11. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
  12. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
  13. Jianhua Hou & Hao Li & Yang Zhang, 2023. "Altmetrics-based sleeping beauties: necessity or just a supplement?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5477-5506, October.
  14. Manuel Goyanes & Márton Demeter & Aurea Grané & Irene Albarrán-Lozano & Homero Gil de Zúñiga, 2020. "A mathematical approach to assess research diversity: operationalization and applicability in communication sciences, political science, and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2299-2322, December.
  15. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
  16. Liang Hu & Win-bin Huang & Yi Bu, 2024. "Interdisciplinary research attracts greater attention from policy documents: evidence from COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
  17. Wolfgang Glänzel & Koenraad Debackere, 2022. "Various aspects of interdisciplinarity in research and how to quantify and measure those," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5551-5569, September.
  18. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
  19. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
  20. 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).
  21. Gerson Pech & Catarina Delgado & Silvio Paolo Sorella, 2022. "Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures: An application in Physics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(11), pages 1513-1528, November.
  22. Fei Shu & Jesse David Dinneen & Shiji Chen, 2022. "Measuring the disparity among scientific disciplines using Library of Congress Subject Headings," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3613-3628, June.
  23. Yu-Wei Chang, 2019. "Are articles in library and information science (LIS) journals primarily contributed to by LIS authors?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 81-104, October.
  24. Dong, Ke & Wu, Jiang & Wang, Kaili, 2021. "On the inequality of citation counts of all publications of individual authors," Journal of Informetrics, Elsevier, vol. 15(4).
  25. repec:plo:pone00:0170296 is not listed on IDEAS
  26. Zhang, Lin & Sun, Mengting & Peng, Yujie & Zhao, Wenjing & Chen, Lixin & Huang, Ying, 2022. "How public investment fuels innovation: Clues from government-subsidized USPTO patents," Journal of Informetrics, Elsevier, vol. 16(3).
  27. Yali Qiao & Alan L. Porter & Ying Huang & Haiyun Xu & Xuefeng Wang, 2025. "Comparing examiner citations and applicant citations: insights into technology evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 537-563, February.
  28. Cristina Páez-Avilés & Frank J. Rijnsoever & Esteve Juanola-Feliu & Josep Samitier, 2018. "Multi-disciplinarity breeds diversity: the influence of innovation project characteristics on diversity creation in nanotechnology," The Journal of Technology Transfer, Springer, vol. 43(2), pages 458-481, April.
  29. 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.
  30. 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.
  31. Hongyu Zhou & Raf Guns & Tim C. E. Engels, 2022. "Are social sciences becoming more interdisciplinary? Evidence from publications 1960–2014," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1201-1221, September.
  32. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
  33. Meijun Liu & Sijie Yang & Yi Bu & Ning Zhang, 2023. "Female early-career scientists have conducted less interdisciplinary research in the past six decades: evidence from doctoral theses," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
  34. Hu, Xiaojun & Leydesdorff, Loet & Rousseau, Ronald, 2017. "Heterogeneity in an undirected network: Definition and measurement," Journal of Informetrics, Elsevier, vol. 11(2), pages 669-682.
  35. 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.
  36. Jing Li & Qian Yu, 2023. "The Evolutionary Characteristics and Interaction of Interdisciplinarity and Scientific Collaboration under the Convergence Paradigm: Analysis in the Field of Materials Genome Engineering," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
  37. Xian Li & Ronald Rousseau & Liming Liang & Fangjie Xi & Yushuang Lü & Yifan Yuan & Xiaojun Hu, 2022. "Is low interdisciplinarity of references an unexpected characteristic of Nobel Prize winning research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2105-2122, April.
  38. Loet Leydesdorff, 2018. "Diversity and interdisciplinarity: how can one distinguish and recombine disparity, variety, and balance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2113-2121, September.
  39. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
  40. Feng Shi & James Evans, 2023. "Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  41. Loet Leydesdorff & Lutz Bornmann, 2020. "“Interdisciplinarity” and “Synergy” in the Œuvre of Judit Bar-Ilan," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1247-1260, June.
  42. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
  43. Fan Qi & Hongyu Zhou & Beibei Sun & Ying Huang & Lin Zhang, 2024. "Facilitating interdisciplinarity: the contributions of boundary-crossing activities among disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 6435-6453, October.
  44. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
  45. Xin Liu & Yi Bu & Ming Li & Jiang Li, 2024. "Monodisciplinary collaboration disrupts science more than multidisciplinary collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(1), pages 59-78, January.
  46. Hongyu Zhou & Raf Guns & Tim C. E. Engels, 2023. "Towards indicating interdisciplinarity: Characterizing interdisciplinary knowledge flow," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(11), pages 1325-1340, November.
  47. 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.
  48. Vancraeynest, Bram & Pham, Hoang-Son & Ali-Eldin, Amr, 2024. "A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques," Journal of Informetrics, Elsevier, vol. 18(3).
  49. 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.
  50. Jielan Ding & Zhesi Shen & Per Ahlgren & Tobias Jeppsson & David Minguillo & Johan Lyhagen, 2021. "The link between ethnic diversity and scientific impact: the mediating effect of novelty and audience diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7759-7810, September.
  51. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
  52. Lin Zhang & Wolfgang Glänzel, 2017. "A citation-based cross-disciplinary study on literature aging: part I—the synchronous approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1573-1589, June.
  53. Boris Forthmann & Mark A. Runco, 2020. "An Empirical Test of the Inter-Relationships between Various Bibliometric Creative Scholarship Indicators," Publications, MDPI, vol. 8(2), pages 1-16, June.
  54. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
  55. Hou, Jianhua & Wang, Dongyi & Li, Jing, 2022. "A new method for measuring the originality of academic articles based on knowledge units in semantic networks," Journal of Informetrics, Elsevier, vol. 16(3).
  56. Shiji Chen & Yanan Guo & Alvin Shijie Ding & Yanhui Song, 2024. "Is interdisciplinarity more likely to produce novel or disruptive research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(5), pages 2615-2632, May.
  57. Shu, Fei & Julien, Charles-Antoine & Zhang, Lin & Qiu, Junping & Zhang, Jing & Larivière, Vincent, 2019. "Comparing journal and paper level classifications of science," Journal of Informetrics, Elsevier, vol. 13(1), pages 202-225.
  58. Gangan Prathap, 2017. "A three-dimensional bibliometric evaluation of recent research in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1085-1097, March.
  59. Hou, Jianhua & Li, Hao & Zhang, Yang, 2024. "Influence of interdisciplinarity of scientific papers on the durability of citation diffusion: A perspective from citation discontinuance," Journal of Informetrics, Elsevier, vol. 18(3).
  60. Hoang-Son Pham & Bram Vancraeynest & Hanne Poelmans & Sadia Vancauwenbergh & Amr Ali-Eldin, 2023. "Identifying interdisciplinary research in research projects," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5521-5544, October.
  61. Lin Zhang & Beibei Sun & Zaida Chinchilla-Rodríguez & Lixin Chen & Ying Huang, 2018. "Interdisciplinarity and collaboration: on the relationship between disciplinary diversity in departmental affiliations and reference lists," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 271-291, October.
  62. Gangan Prathap, 2019. "Balance: a thermodynamic perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 247-255, April.
  63. Shuo Xu & Ling Li & Xin An, 2023. "Do academic inventors have diverse interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1023-1053, February.
  64. Deng Cheng & Zhang Xue & Yang Zhibo & Zhang Mingze, 2025. "Impact of interdisciplinarity on disruptive innovation: the moderating role of collaboration pattern and collaboration size," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(4), pages 2379-2401, April.
  65. Bart Thijs, 2020. "Using neural-network based paragraph embeddings for the calculation of within and between document similarities," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 835-849, November.
  66. Zhang, Yang & Wang, Yang & Du, Haifeng & Havlin, Shlomo, 2024. "Delayed citation impact of interdisciplinary research," Journal of Informetrics, Elsevier, vol. 18(1).
  67. Ryo Takahashi & Kenji Kaibe & Kazuyuki Suzuki & Sayaka Takahashi & Kotaro Takeda & Marc Hansen & Michiaki Yumoto, 2023. "New concept of the affinity between research fields using academic journal data in Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3507-3534, June.
  68. Wooseok Jang & Yongtae Park & Hyeonju Seol, 2021. "Identifying emerging technologies using expert opinions on the future: A topic modeling and fuzzy clustering approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6505-6532, August.
  69. 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.
  70. Lin Zhang & Wolfgang Glänzel, 2017. "A citation-based cross-disciplinary study on literature ageing: part II—diachronous aspects," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1559-1572, June.
  71. Fan, Yangliu & Lehmann, Sune & Blok, Anders, 2022. "Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach," Journal of Informetrics, Elsevier, vol. 16(3).
  72. Shiji Chen & Kaiqi Zhang & Junping Qiu & Jiaqi Chai, 2024. "Interdisciplinarity and expert rating: an analysis based on faculty opinions," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6597-6628, November.
  73. 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.
  74. Junping Qiu & Yunlong Yu & Shiji Chen & Teng Zhao & Shanshan Wang, 2024. "Effect of Scientific Collaboration on Interdisciplinarity in Climate Change From a Scientometric Perspective," SAGE Open, , vol. 14(2), pages 21582440241, April.
  75. Fei Shu & Yue Ma & Junping Qiu & Vincent Larivière, 2020. "Classifications of science and their effects on bibliometric evaluations," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2727-2744, December.
  76. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.
  77. 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.
  78. Andrea Zielinski, 2022. "Impact of model settings on the text-based Rao diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7751-7768, December.
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