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How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities

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  • Kai Nishikawa

    (National Institute of Science and Technology Policy (NISTEP))

Abstract

Some science and technology policies promote collaboration between natural sciences (NS) and social sciences and humanities (SSH) on research topics related to complex societal issues such as climate change. However, there is a lack of empirical research on how and why a discipline uses knowledge from the same or another discipline. This study employs citation context analysis to explore the characteristics of citation behavior between NS and SSH. Specifically, focusing on climate change (SDG 13) and renewable energy (SDG 7), we classified related papers as either NS or SSH. Further, we analyzed how citation behavior differs by patterns of citations between disciplines, such as NS citing NS and NS citing SSH. The findings show that the sections where citations are more likely to be made or the citation purposes significantly differ by each pattern in each topic. In addition, it was common across both topics that NS tended to cite SSH frequently in the methodology section. While a typical collaboration pattern between NS and SSH is assumed as NS contributes methodologically to the solution of SSH research questions, the findings suggest that SSH contributes methodologically to NS. This study sheds new light on the exploration of knowledge flows between disciplines.

Suggested Citation

  • Kai Nishikawa, 2023. "How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2975-2997, May.
  • Handle: RePEc:spr:scient:v:128:y:2023:i:5:d:10.1007_s11192-023-04664-y
    DOI: 10.1007/s11192-023-04664-y
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    1. Wang, Shiyun & Mao, Jin & Lu, Kun & Cao, Yujie & Li, Gang, 2021. "Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth," Journal of Informetrics, Elsevier, vol. 15(4).
    2. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.
    3. Guo Zhang & Ying Ding & Staša Milojević, 2013. "Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(7), pages 1490-1503, July.
    4. Vincent Larivière & Éric Archambault & Yves Gingras & Étienne Vignola‐Gagné, 2006. "The place of serials in referencing practices: Comparing natural sciences and engineering with social sciences and humanities," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(8), pages 997-1004, June.
    5. Xiaofeng Xu & Santonu Goswami & Jay Gulledge & Stan D. Wullschleger & Peter E. Thornton, 2016. "Interdisciplinary research in climate and energy sciences," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 49-56, January.
    6. Erjia Yan, 2016. "Disciplinary knowledge production and diffusion in science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2223-2245, September.
    7. Zhang, Chengzhi & Liu, Lifan & Wang, Yuzhuo, 2021. "Characterizing references from different disciplines: A perspective of citation content analysis," Journal of Informetrics, Elsevier, vol. 15(2).
    8. Schuitema, Geertje & D. Sintov, Nicole, 2017. "Should we quit our jobs? Challenges, barriers and recommendations for interdisciplinary energy research," Energy Policy, Elsevier, vol. 101(C), pages 246-250.
    9. Guo Zhang & Ying Ding & Staša Milojević, 2013. "Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(7), pages 1490-1503, July.
    10. Chi-Shiou Lin, 2018. "An analysis of citation functions in the humanities and social sciences research from the perspective of problematic citation analysis assumptions," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 797-813, August.
    11. Erjia Yan & Qi Yu, 2016. "Using path-based approaches to examine the dynamic structure of discipline-level citation networks: 1997–2011," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(8), pages 1943-1955, August.
    12. Ben‐Ami Lipetz, 1965. "Improvement of the selectivity of citation indexes to science literature through inclusion of citation relationship indicators," American Documentation, Wiley Blackwell, vol. 16(2), pages 81-90, April.
    13. Ying Ding & Guo Zhang & Tamy Chambers & Min Song & Xiaolong Wang & Chengxiang Zhai, 2014. "Content-based citation analysis: The next generation of citation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1820-1833, September.
    14. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    15. Dongqing Lyu & Xuanmin Ruan & Juan Xie & Ying Cheng, 2021. "The classification of citing motivations: a meta-synthesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3243-3264, April.
    16. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
    17. Iman Tahamtan & Lutz Bornmann, 2019. "What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1635-1684, December.
    18. Zehra Taşkın & Umut Al, 2018. "A content-based citation analysis study based on text categorization," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 335-357, January.
    19. Richard Klavans & Kevin W. Boyack, 2017. "Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 984-998, April.
    20. Erjia Yan, 2014. "Finding knowledge paths among scientific disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2331-2347, November.
    21. David Budtz Pedersen, 2016. "Integrating social sciences and humanities in interdisciplinary research," Palgrave Communications, Palgrave Macmillan, vol. 2(1), pages 1-7, December.
    22. Yu-Wei Chang, 2013. "A comparison of citation contexts between natural sciences and social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 535-553, August.
    23. Thed van Leeuwen & Robert Tijssen, 2000. "Interdisciplinary dynamics of modern science: analysis of cross-disciplinary citation flows," Research Evaluation, Oxford University Press, vol. 9(3), pages 183-187, December.
    24. Peiling Wang & Dagobert Soergel, 1998. "A cognitive model of document use during a research project. Study I. Document selection," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(2), pages 115-133, February.
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