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A bibliometric study of productivity and impact of modern language and literature research

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  • Anton J Nederhof

Abstract

A bibliometric evaluation was made of research performance in modern language and linguistics research. Separate analyses were made for language and linguistics and for literature components of each language in the study. The study covered both publications directed at a national or international scholarly output and publications destined for the general public. The latter accounted for 8–73% of the output, and were particularly important in literature output. Publication and citation behavior differed considerably between language and linguistics on the one hand and literature on the other hand, calling for a tailored design of monitoring studies in both fields. In publications directed at scholars, the national language did not dominate. In literature fields, the language of the object of study was most important, while in language and linguistics, the object language was not always more important than English. The study indicates that both journal articles and book output need to be included in bibliometric evaluation. Citation impact analysis is shown to be informative in bibliometric assessment in this field, especially when a five-year citation window is used. Copyright , Beech Tree Publishing.

Suggested Citation

  • Anton J Nederhof, 2011. "A bibliometric study of productivity and impact of modern language and literature research," Research Evaluation, Oxford University Press, vol. 20(2), pages 117-129, June.
    • Handle: RePEc:oup:rseval:v:20:y:2011:i:2:p:117-129
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    File URL: http://hdl.handle.net/10.3152/095820211X12941371876508
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    Cited by:

    1. Jessie S. Barrot, 2017. "Research impact and productivity of Southeast Asian countries in language and linguistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 1-15, January.
    2. Chien Hsiang Liao & Mu-Yen Chen, 2018. "Exploring knowledge patterns of library and information science journals within the field: a citation analysis from 2009 to 2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1991-2008, December.
    3. Ronald Snijder, 2016. "Revisiting an open access monograph experiment: measuring citations and tweets 5 years later," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1855-1875, December.
    4. Beril T. Arik & Engin Arik, 2017. "“Second Language Writing” Publications in Web of Science: A Bibliometric Analysis," Publications, MDPI, vol. 5(1), pages 1-12, March.
    5. Chi, Pei-Shan, 2016. "Differing disciplinary citation concentration patterns of book and journal literature?," Journal of Informetrics, Elsevier, vol. 10(3), pages 814-829.
    6. Verleysen, Frederik T. & Weeren, Arie, 2016. "Clustering by publication patterns of senior authors in the social sciences and humanities," Journal of Informetrics, Elsevier, vol. 10(1), pages 254-272.
    7. Mingkun Wei & Abdolreza Noroozi Chakoli, 2020. "Evaluating the relationship between the academic and social impact of open access books based on citation behaviors and social media attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2401-2420, December.
    8. Danielle Lee, 2023. "Bibliometric analysis of Asian ‘language and linguistics’ research: A case of 13 countries," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-23, December.

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