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Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories

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  • Dag W. Aksnes
  • Liv Langfeldt
  • Paul Wouters

Abstract

Citations are increasingly used as performance indicators in research policy and within the research system. Usually, citations are assumed to reflect the impact of the research or its quality. What is the justification for these assumptions and how do citations relate to research quality? These and similar issues have been addressed through several decades of scientometric research. This article provides an overview of some of the main issues at stake, including theories of citation and the interpretation and validity of citations as performance measures. Research quality is a multidimensional concept, where plausibility/soundness, originality, scientific value, and societal value commonly are perceived as key characteristics. The article investigates how citations may relate to these various research quality dimensions. It is argued that citations reflect aspects related to scientific impact and relevance, although with important limitations. On the contrary, there is no evidence that citations reflect other key dimensions of research quality. Hence, an increased use of citation indicators in research evaluation and funding may imply less attention to these other research quality dimensions, such as solidity/plausibility, originality, and societal value.

Suggested Citation

  • Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
  • Handle: RePEc:sae:sagope:v:9:y:2019:i:1:p:2158244019829575
    DOI: 10.1177/2158244019829575
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    References listed on IDEAS

    as
    1. Meyer, Martin, 2000. "Does science push technology? Patents citing scientific literature," Research Policy, Elsevier, vol. 29(3), pages 409-434, March.
    2. John P A Ioannidis, 2005. "Why Most Published Research Findings Are False," PLOS Medicine, Public Library of Science, vol. 2(8), pages 1-1, August.
    3. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2011. "Evaluating research: from informed peer review to bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 499-514, June.
    4. Aksnes, Dag W. & Rip, Arie, 2009. "Researchers' perceptions of citations," Research Policy, Elsevier, vol. 38(6), pages 895-905, July.
    5. Lutz Bornmann, 2013. "What is societal impact of research and how can it be assessed? a literature survey," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 217-233, February.
    6. Anthony F J van Raan, 1993. "Advanced bibliometric methods to assess research performance and scientific development: basic principles and recent practical applications," Research Evaluation, Oxford University Press, vol. 3(3), pages 151-166, December.
    7. Fredrik Niclas Piro & Gunnar Sivertsen, 2016. "How can differences in international university rankings be explained?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2263-2278, December.
    8. Alessio Ancaiani & Alberto F. Anfossi & Anna Barbara & Sergio Benedetto & Brigida Blasi & Valentina Carletti & Tindaro Cicero & Alberto Ciolfi & Filippo Costa & Giovanna Colizza & Marco Costantini & F, 2015. "Evaluating scientific research in Italy: The 2004–10 research evaluation exercise," Research Evaluation, Oxford University Press, vol. 24(3), pages 242-255.
    9. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    10. Martin, Ben R. & Irvine, John, 1993. "Assessing basic research : Some partial indicators of scientific progress in radio astronomy," Research Policy, Elsevier, vol. 22(2), pages 106-106, April.
    11. Richard Van Noorden & Brendan Maher & Regina Nuzzo, 2014. "The top 100 papers," Nature, Nature, vol. 514(7524), pages 550-553, October.
    12. Yves Gingras & Matthew L. Wallace, 2010. "Why it has become more difficult to predict Nobel Prize winners: a bibliometric analysis of nominees and winners of the chemistry and physics prizes (1901–2007)," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 401-412, February.
    13. María‐del‐Mar Camacho‐Miñano & Manuel Núñez‐Nickel, 2009. "The multilayered nature of reference selection," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(4), pages 754-777, April.
    14. Jos J. Winnink & Robert J. W. Tijssen & Anthony F. J. van Raan, 2016. "Theory‐changing breakthroughs in science: The impact of research teamwork on scientific discoveries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1210-1223, May.
    15. Rinia, E. J. & van Leeuwen, Th. N. & van Vuren, H. G. & van Raan, A. F. J., 1998. "Comparative analysis of a set of bibliometric indicators and central peer review criteria: Evaluation of condensed matter physics in the Netherlands," Research Policy, Elsevier, vol. 27(1), pages 95-107, May.
    16. P. Wouters, 1999. "Beyond the holy grail: From citation theory to indicator theories," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 561-580, March.
    17. Sven E. Hug & Michael Ochsner & Hans-Dieter Daniel, 2013. "Criteria for assessing research quality in the humanities: a Delphi study among scholars of English literature, German literature and art history," Research Evaluation, Oxford University Press, vol. 22(5), pages 369-383, August.
    18. Werner Marx & Lutz Bornmann, 2015. "On the causes of subject-specific citation rates in Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1823-1827, February.
    19. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    20. Alberto Baccini & Giuseppe De Nicolao, 2016. "Do they agree? Bibliometric evaluation versus informed peer review in the Italian research assessment exercise," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1651-1671, September.
    21. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    22. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
    23. Katrin Weller, 2015. "Social Media and Altmetrics: An Overview of Current Alternative Approaches to Measuring Scholarly Impact," Springer Books, in: Isabell M. Welpe & Jutta Wollersheim & Stefanie Ringelhan & Margit Osterloh (ed.), Incentives and Performance, edition 127, pages 261-276, Springer.
    24. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    25. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2016. "A farewell to the MNCS and like size-independent indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 646-651.
    26. Claire Donovan & Stephen Hanney, 2011. "The ‘Payback Framework’ explained," Research Evaluation, Oxford University Press, vol. 20(3), pages 181-183, September.
    27. Stefan Hornbostel & Susan Böhmer & Bernd Klingsporn & Jörg Neufeld & Markus Ins, 2009. "Funding of young scientist and scientific excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 171-190, April.
    28. Michael H. MacRoberts & Barbara R. MacRoberts, 1989. "Problems of citation analysis: A critical review," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(5), pages 342-349, September.
    29. Adam Eyre-Walker & Nina Stoletzki, 2013. "The Assessment of Science: The Relative Merits of Post-Publication Review, the Impact Factor, and the Number of Citations," PLOS Biology, Public Library of Science, vol. 11(10), pages 1-8, October.
    30. Jochen Gläser & Grit Laudel, 2001. "Integrating Scientometric Indicators into Sociological Studies: Methodical and Methodological Problems," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 411-434, November.
    31. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    32. Mårtensson, Pär & Fors, Uno & Wallin, Sven-Bertil & Zander, Udo & Nilsson, Gunnar H, 2016. "Evaluating research: A multidisciplinary approach to assessing research practice and quality," Research Policy, Elsevier, vol. 45(3), pages 593-603.
    33. Sarah de Rijcke & Paul F. Wouters & Alex D. Rushforth & Thomas P. Franssen & Björn Hammarfelt, 2016. "Evaluation practices and effects of indicator use—a literature review," Research Evaluation, Oxford University Press, vol. 25(2), pages 161-169.
    34. Waltman, Ludo & van Eck, Nees Jan & Wouters, Paul, 2013. "Counting publications and citations: Is more always better?," Journal of Informetrics, Elsevier, vol. 7(3), pages 635-641.
    35. Larivière, Vincent & Gingras, Yves, 2011. "Averages of ratios vs. ratios of averages: An empirical analysis of four levels of aggregation," Journal of Informetrics, Elsevier, vol. 5(3), pages 392-399.
    36. Liv Langfeldt & Mats Benner & Gunnar Sivertsen & Ernst H. Kristiansen & Dag W. Aksnes & Siri Brorstad Borlaug & Hanne Foss Hansen & Egil Kallerud & Antti Pelkonen, 2015. "Excellence and growth dynamics: A comparative study of the Matthew effect," Science and Public Policy, Oxford University Press, vol. 42(5), pages 661-675.
    37. Lutz Bornmann & Hans‐Dieter Daniel, 2007. "What do we know about the h index?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1381-1385, July.
    38. Caroline S Wagner & Edwin Horlings & Travis A Whetsell & Pauline Mattsson & Katarina Nordqvist, 2015. "Do Nobel Laureates Create Prize-Winning Networks? An Analysis of Collaborative Research in Physiology or Medicine," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-13, July.
    39. Daniele Fanelli, 2009. "How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-11, May.
    40. Terttu Luukkonen, 2012. "Conservatism and risk-taking in peer review: Emerging ERC practices," Research Evaluation, Oxford University Press, vol. 21(1), pages 48-60, February.
    41. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    42. John P A Ioannidis & Kevin Boyack & Paul F Wouters, 2016. "Citation Metrics: A Primer on How (Not) to Normalize," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-7, September.
    43. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    44. Eugene Garfield, 1997. "Validation of citation analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(10), pages 962-962, October.
    45. Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile-based bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
    46. 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.
    47. Susanne E. Baumgartner & Loet Leydesdorff, 2014. "Group-based trajectory modeling (GBTM) of citations in scholarly literature: Dynamic qualities of “transient” and “sticky knowledge claims”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 797-811, April.
    48. Truyken L. B. Ossenblok & Tim C. E. Engels & Gunnar Sivertsen, 2012. "The representation of the social sciences and humanities in the Web of Science--a comparison of publication patterns and incentive structures in Flanders and Norway (2005--9)," Research Evaluation, Oxford University Press, vol. 21(4), pages 280-290, September.
    49. Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile‐based bibliometric indicators," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
    50. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    51. Björn Hellqvist, 2010. "Referencing in the humanities and its implications for citation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(2), pages 310-318, February.
    52. Björn Hellqvist, 2010. "Referencing in the humanities and its implications for citation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(2), pages 310-318, February.
    53. Dag W Aksnes & Randi Elisabeth Taxt, 2004. "Peer reviews and bibliometric indicators: a comparative study at a Norwegian university," Research Evaluation, Oxford University Press, vol. 13(1), pages 33-41, April.
    54. Dag W Aksnes, 2003. "Characteristics of highly cited papers," Research Evaluation, Oxford University Press, vol. 12(3), pages 159-170, December.
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