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«Multiway data analysis» and the general problem of journals’ ranking

Author

Listed:
  • Rubinstein, Alexander

    (Institute of Economics of the RAS, Moscow, Russian Federation)

  • Slutskin, Lev

    (Institute of Economics of the RAS, Moscow, Russian Federation)

Abstract

The paper presents a principally new ranking algorithm (on the example of economic journals) which applies methods of multiway data analysis to a sociological survey of representatives of the economic community. The algorithm provides determination of the weight function for aggregation of private ratings, taking into consideration both statistically discovered differences between the respondents and the journals weights. It also reflects latent relationships between all the components of measurement process of journals characteristics. The algorithm central element is an iterative procedure of determination of the journals core and extracting on its basis a subset of experts, whose estimates allow determining the journals aggregated ratings with subsequent clustering. The research practical result is methodological and instrumental justification of Russian economic journals ranking and selection on its basis the five categories of periodical publications.

Suggested Citation

  • Rubinstein, Alexander & Slutskin, Lev, 2018. "«Multiway data analysis» and the general problem of journals’ ranking," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 50, pages 90-113.
  • Handle: RePEc:ris:apltrx:0345
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    References listed on IDEAS

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    Cited by:

    1. Rubinstein, A. & Burakov, N., 2021. "Economic journals in the optics of scientometrics," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 205-215.
    2. Rubinstein, A., 2019. "Man shall not live by RSCI alone..," Journal of the New Economic Association, New Economic Association, vol. 44(4), pages 245-259.
    3. Nikita Alexandrovich Burakov & Alexander Yakovlevich Rubinstein, 2020. "Theoretical and Applied Aspects of Measuring the Economic Growth Potential of Russian Regions," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 24-50.

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    More about this item

    Keywords

    ranking; rating; weights of indicators; aggregation of weights; principal component analysis; Tucker decomposition; multiway data analysis;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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