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Cross-disciplinary collaboration versus coexistence in LIS serials: analysis of authorship affiliations in four European countries

Author

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  • Cristóbal Urbano

    (Universitat de Barcelona)

  • Jordi Ardanuy

    (Universitat de Barcelona)

Abstract

The interdisciplinary nature of library and information science (LIS) research has been highlighted for some time now. The term “interdisciplinary” is used primarily in the LIS literature as a general concept with different meanings that refer either to the coexistence of researchers from different scientific fields or to cross-disciplinary collaboration expressed in the form of coauthorship. This study analyses the disciplinary profile of LIS researchers with a view to ascertaining the actual level of cross-disciplinary collaboration and identifying all fields involved. Because of the complexity of identifying accurate affiliations at knowledge area level, the study was limited to authors from France, Germany, Spain and the UK. This analysis of authorship affiliation was performed based on research published in LIS serial titles indexed in Scopus during the 2010–2017 period. A rigorous and laborious process of identifying author affiliations was carried out. This involved checking the authorship of each paper and complementing this with information from websites, scientific social networks and other research endeavours whenever ambiguous situations arose. We observed that LIS departments produce barely a third of the research published in serial titles in the LIS subject category. Cross-disciplinary collaboration among all of the scientific fields involved is low, and even lower in LIS than in other fields. The low level of cross-disciplinary collaboration in LIS contradicts the interdisciplinary nature of LIS highlighted in the literature.

Suggested Citation

  • Cristóbal Urbano & Jordi Ardanuy, 2020. "Cross-disciplinary collaboration versus coexistence in LIS serials: analysis of authorship affiliations in four European countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 575-602, July.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:1:d:10.1007_s11192-020-03471-z
    DOI: 10.1007/s11192-020-03471-z
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    References listed on IDEAS

    as
    1. Bart Thijs & Lin Zhang & Wolfgang Glänzel, 2015. "Bibliographic coupling and hierarchical clustering for the validation and improvement of subject-classification schemes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1453-1467, December.
    2. Lin Zhang & Frizo Janssens & Liming Liang & Wolfgang Glänzel, 2010. "Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 687-706, March.
    3. Marcia J. Bates, 1999. "The invisible substrate of information science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(12), pages 1043-1050.
    4. 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.
    5. Cassidy R. Sugimoto & Chaoqun Ni & Terrell G. Russell & Brenna Bychowski, 2011. "Academic genealogy as an indicator of interdisciplinarity: An examination of dissertation networks in Library and Information Science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(9), pages 1808-1828, September.
    6. Antonio J. Gómez-Núñez & Benjamín Vargas-Quesada & Félix Moya-Anegón, 2016. "Updating the SCImago journal and country rank classification: A new approach using Ward's clustering and alternative combination of citation measures," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 178-190, January.
    7. Maja Jokić, 2020. "Productivity, visibility, authorship, and collaboration in library and information science journals: Central and Eastern European authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1189-1219, February.
    8. Carmen López-Illescas & Ed C.M. Noyons & Martijn S. Visser & Félix De Moya-Anegón & Henk F. Moed, 2009. "Expansion of scientific journal categories using reference analysis: How can it be done and does it make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 473-490, June.
    9. Yu‐Wei Chang & Mu‐Hsuan Huang, 2012. "A study of the evolution of interdisciplinarity in library and information science: Using three bibliometric methods," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 22-33, January.
    10. Cassidy R. Sugimoto & Chaoqun Ni & Terrell G. Russell & Brenna Bychowski, 2011. "Academic genealogy as an indicator of interdisciplinarity: An examination of dissertation networks in Library and Information Science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(9), pages 1808-1828, September.
    11. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    12. Huutoniemi, Katri & Klein, Julie Thompson & Bruun, Henrik & Hukkinen, Janne, 2010. "Analyzing interdisciplinarity: Typology and indicators," Research Policy, Elsevier, vol. 39(1), pages 79-88, February.
    13. Jonathan M. Levitt & Mike Thelwall, 2009. "The most highly cited Library and Information Science articles: Interdisciplinarity, first authors and citation patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 45-67, January.
    14. Yu-Wei Chang, 2018. "Examining interdisciplinarity of library and information science (LIS) based on LIS articles contributed by non-LIS authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1589-1613, September.
    15. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Di Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    16. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    17. Yu-Wei Chang & Mu-Hsuan Huang, 2012. "A study of the evolution of interdisciplinarity in library and information science: Using three bibliometric methods," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 22-33, January.
    18. Jian Qin & F. W. Lancaster & Bryce Allen, 1997. "Types and levels of collaboration in interdisciplinary research in the sciences," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(10), pages 893-916, October.
    19. 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.
    20. Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    21. Joachim Schummer, 2004. "Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 425-465, March.
    22. Diana Hicks & Paul Wouters & Ludo Waltman & Sarah de Rijcke & Ismael Rafols, 2015. "Bibliometrics: The Leiden Manifesto for research metrics," Nature, Nature, vol. 520(7548), pages 429-431, April.
    23. Alton Y.K. Chua & Christopher C. Yang, 2008. "The shift towards multi‐disciplinarity in information science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2156-2170, November.
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    Cited by:

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    2. Pertti Vakkari & Kalervo Järvelin & Yu‐Wei Chang, 2023. "The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995–2015," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(7), pages 811-827, July.
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    4. Yu-Wei Chang, 2021. "Characteristics of high research performance authors in the field of library and information science and those of their articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3373-3391, April.

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