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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. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Gangan Prathap, 2019. "Balance: a thermodynamic perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 247-255, April.
  7. 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.
  8. 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).
  9. 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.
  10. Shuo Xu & Ling Li & Xin An, 2023. "Do academic inventors have diverse interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1023-1053, February.
  11. 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.
  12. 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.
  13. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
  14. 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.
  15. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
  16. 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.
  17. Zhang, Yang & Wang, Yang & Du, Haifeng & Havlin, Shlomo, 2024. "Delayed citation impact of interdisciplinary research," Journal of Informetrics, Elsevier, vol. 18(1).
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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).
  46. 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.
  47. Gangan Prathap, 2017. "A three-dimensional bibliometric evaluation of recent research in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1085-1097, March.
  48. 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.
  49. 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.
  50. 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.
  51. 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).
  52. 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.
  53. 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.
  54. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. 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).
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