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A Citation-Analysis of Economic Research Institutes

Author

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  • Zimmermann, Klaus F.
  • Ketzler, Rolf

Abstract

The citation analysis of the research output of the German economic research institutes presented here is based on publications in peer-reviewed journals listed in the Social Science Citation Index for the 2000 - 2009 period. The novel feature of the paper is that a count data model quantifies the determinants of citation success and simulates their citation potential. Among the determinants of the number of cites the quality of the publication outlet exhibits a strong positive effect. The same effect has the number of the published pages, but journals with size limits also yield more cites. Field journals get fewer citations in comparison to general journals. Controlling for journal quality, the number of co-authors of a paper has no effect, but it is positive when co-authors are located outside the own institution. We find that the potential citations predicted by our best model lead to different rankings across the institutes than current citations indicating structural change.

Suggested Citation

  • Zimmermann, Klaus F. & Ketzler, Rolf, 2012. "A Citation-Analysis of Economic Research Institutes," CEPR Discussion Papers 9110, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:9110
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    Cited by:

    1. Marcel Clermont & Alexander Dirksen & Barbara Scheidt & Dirk Tunger, 2017. "Citation metrics as an additional indicator for evaluating research performance? An analysis of their correlations and validity," Business Research, Springer;German Academic Association for Business Research, vol. 10(2), pages 249-279, October.
    2. Marcel Clermont & Johanna Krolak & Dirk Tunger, 2021. "Does the citation period have any effect on the informative value of selected citation indicators in research evaluations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1019-1047, February.
    3. Bornmann, Lutz & Haunschild, Robin & Mutz, Rüdiger, 2020. "Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 14(4).
    4. Döpke, Jörg & Fritsche, Ulrich & Waldhof, Gaby, 2017. "Theories, techniques and the formation of German business cycle forecasts. Evidence from a survey among professional forecasters," Working Papers 2, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    5. Döpke Jörg & Fritsche Ulrich & Waldhof Gabi, 2019. "Theories, Techniques and the Formation of German Business Cycle Forecasts : Evidence from a survey of professional forecasters," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 203-241, April.
    6. Andrei Dubovik & Clemens Fiedler & Alexei Parakhonyak, 2022. "Temporal Patterns in Economics Research," CPB Discussion Paper 440, CPB Netherlands Bureau for Economic Policy Analysis.
    7. Wohlrabe, Klaus & Birkmeier, Daniel, 2014. "Do open access articles in economics have a citation advantage?," MPRA Paper 56842, University Library of Munich, Germany.
    8. Yang, Siluo & Wang, Feifei, 2015. "Visualizing information science: Author direct citation analysis in China and around the world," Journal of Informetrics, Elsevier, vol. 9(1), pages 208-225.
    9. Yuanyuan Liu & Qiang Wu & Shijie Wu & Yong Gao, 2021. "Weighted citation based on ranking-related contribution: a new index for evaluating article impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8653-8672, October.
    10. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    11. Piracha, Matloob & Tani, Massimiliano & Zimmermann, Klaus F. & Zhang, Yu, 2022. "Higher education expansion and the rise of China in economics research," China Economic Review, Elsevier, vol. 74(C).
    12. Boris Forthmann & Philipp Doebler, 2021. "Reliability of researcher capacity estimates and count data dispersion: a comparison of Poisson, negative binomial, and Conway-Maxwell-Poisson models," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3337-3354, April.
    13. Heinz Ahn & Marcel Clermont & Julia Langner, 2022. "The impact of selected input and output factors on measuring research efficiency of university research fields: insights from a purpose-, field-, and method-specific perspective," Journal of Business Economics, Springer, vol. 92(8), pages 1303-1335, October.
    14. Zimmermann, Klaus F., 2014. "Evidenzbasierte wissenschaftliche Politikberatung," IZA Standpunkte 74, Institute of Labor Economics (IZA).
    15. Bornmann, Lutz, 2019. "Does the normalized citation impact of universities profit from certain properties of their published documents – such as the number of authors and the impact factor of the publishing journals? A mult," Journal of Informetrics, Elsevier, vol. 13(1), pages 170-184.

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    More about this item

    Keywords

    Citation analysis; Rankings; Scientometrics; Publication analysis; Economic research institutes;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship

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