Cui prodest? Reciprocity of collaboration measured by Russian index of science citation

Vladimir Pislyakov, Olga Moskaleva, Mark Akoev

    Research outputpeer-review

    Abstract

    Scientific collaboration is often not perfectly reciprocal. Scientifically strong countries/institutions/laboratories may help their less prominent partners with leading scholars, or finance, or other resources. What is interesting in such type of collaboration is that (1) it may be measured by bibliometrics and (2) it may shed more light on the scholarly level of both collaborating organizations themselves. In this sense measuring institutions in collaboration sometimes may tell more than attempts to assess them as stand-alone organizations. Evaluation of collaborative patterns was explained in detail, for example, by Glänzel (2001; 2003). Here we combine these methods with a new one, made available by separating ‘the best’ journals from ‘others’ on the same platform of Russian Index of Science Citation (RISC). Such sub-universes of journals from ‘different leagues’ provide additional methods to study how collaboration influences the quality of papers published by organizations.

    Original languageEnglish
    Title of host publication17TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2019), VOL I
    EditorsGiuseppe Catalano, Cinzia Daraio, Martina Gregori, Henk F. Moed, Giancarlo Ruocco
    PublisherInternational Society for Scientometrics and Informetrics
    Pages185-195
    Number of pages11
    Volume1
    ISBN (Electronic)9788833811185
    ISBN (Print)978-88-3381-118-5
    Publication statusPublished - Sep 2019
    Event17th INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS - Рим
    Duration: 2 Sep 20196 Sep 2019
    https://www.issi2019.org

    Publication series

    NameProceedings of the International Conference on Scientometrics and Informetrics
    PublisherINT SOC SCIENTOMETRICS & INFORMETRICS-ISSI
    ISSN (Print)2175-1935

    Conference

    Conference17th INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS
    Abbreviated titleISSI 2019
    CountryItaly
    CityРим
    Period2/09/196/09/19
    Internet address

    Fingerprint

    Citations
    Reciprocity
    Bibliometrics
    Finance
    Resources
    Collaboration
    Evaluation

    Scopus subject areas

    • Statistics and Probability
    • Computer Science Applications
    • Management Science and Operations Research
    • Applied Mathematics
    • Modelling and Simulation

    Cite this

    Pislyakov, V., Moskaleva, O., & Akoev, M. (2019). Cui prodest? Reciprocity of collaboration measured by Russian index of science citation. In G. Catalano, C. Daraio, M. Gregori, H. F. Moed, & G. Ruocco (Eds.), 17TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2019), VOL I (Vol. 1, pp. 185-195). (Proceedings of the International Conference on Scientometrics and Informetrics). International Society for Scientometrics and Informetrics.
    Pislyakov, Vladimir ; Moskaleva, Olga ; Akoev, Mark. / Cui prodest? Reciprocity of collaboration measured by Russian index of science citation. 17TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2019), VOL I. editor / Giuseppe Catalano ; Cinzia Daraio ; Martina Gregori ; Henk F. Moed ; Giancarlo Ruocco. Vol. 1 International Society for Scientometrics and Informetrics, 2019. pp. 185-195 (Proceedings of the International Conference on Scientometrics and Informetrics).
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    abstract = "Scientific collaboration is often not perfectly reciprocal. Scientifically strong countries/institutions/laboratories may help their less prominent partners with leading scholars, or finance, or other resources. What is interesting in such type of collaboration is that (1) it may be measured by bibliometrics and (2) it may shed more light on the scholarly level of both collaborating organizations themselves. In this sense measuring institutions in collaboration sometimes may tell more than attempts to assess them as stand-alone organizations. Evaluation of collaborative patterns was explained in detail, for example, by Gl{\"a}nzel (2001; 2003). Here we combine these methods with a new one, made available by separating ‘the best’ journals from ‘others’ on the same platform of Russian Index of Science Citation (RISC). Such sub-universes of journals from ‘different leagues’ provide additional methods to study how collaboration influences the quality of papers published by organizations.",
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    Pislyakov, V, Moskaleva, O & Akoev, M 2019, Cui prodest? Reciprocity of collaboration measured by Russian index of science citation. in G Catalano, C Daraio, M Gregori, HF Moed & G Ruocco (eds), 17TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2019), VOL I. vol. 1, Proceedings of the International Conference on Scientometrics and Informetrics, International Society for Scientometrics and Informetrics, pp. 185-195, Рим, 2/09/19.

    Cui prodest? Reciprocity of collaboration measured by Russian index of science citation. / Pislyakov, Vladimir; Moskaleva, Olga; Akoev, Mark.

    17TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2019), VOL I. ed. / Giuseppe Catalano; Cinzia Daraio; Martina Gregori; Henk F. Moed; Giancarlo Ruocco. Vol. 1 International Society for Scientometrics and Informetrics, 2019. p. 185-195 (Proceedings of the International Conference on Scientometrics and Informetrics).

    Research outputpeer-review

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    Pislyakov V, Moskaleva O, Akoev M. Cui prodest? Reciprocity of collaboration measured by Russian index of science citation. In Catalano G, Daraio C, Gregori M, Moed HF, Ruocco G, editors, 17TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2019), VOL I. Vol. 1. International Society for Scientometrics and Informetrics. 2019. p. 185-195. (Proceedings of the International Conference on Scientometrics and Informetrics).