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Reviewers’ scores do not predict impact: bibliometric analysis of the proceedings of the human–robot interaction conference

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  • Christoph Bartneck

    (University of Canterbury)

Abstract

The peer review process is an essential component for the progress of science. The ACM/IEEE International Conference on Human–Robot Interaction is the prime publication channel for the field and this study evaluates its peer review process. The results show that the number of accepted papers are unevenly distributed across countries, organizations and authors. The contributions from the US outweigh all others contributions. A Binary Logistic Regression analysis showed that only for 85.5% of the papers the reviewers’ scores accurately predict its acceptance or rejection. Moreover, there was no significant correlation between the reviewers’ scores and the citations the papers later attract. 73% of the authors only ever submitted one paper and the proportion of newcomers at the conferences ranges from 63–77%.

Suggested Citation

  • Christoph Bartneck, 2017. "Reviewers’ scores do not predict impact: bibliometric analysis of the proceedings of the human–robot interaction conference," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 179-194, January.
    • Handle: RePEc:spr:scient:v:110:y:2017:i:1:d:10.1007_s11192-016-2176-y
    DOI: 10.1007/s11192-016-2176-y
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    References listed on IDEAS

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    1. Lokman I. Meho & Yvonne Rogers, 2008. "Citation counting, citation ranking, and h‐index of human‐computer interaction researchers: A comparison of Scopus and Web of Science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1711-1726, September.
    2. Wolfgang Glänzel & Henk F. Moed, 2002. "Journal impact measures in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 171-193, February.
    3. Gunther Eysenbach, 2006. "Citation Advantage of Open Access Articles," Working Papers id:626, eSocialSciences.
    4. Judit Bar-Ilan, 2008. "Which h-index? — A comparison of WoS, Scopus and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 257-271, February.
    5. Lokman I. Meho & Kiduk Yang, 2007. "Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2105-2125, November.
    6. Juan Miguel Campanario, 2009. "Rejecting and resisting Nobel class discoveries: accounts by Nobel Laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 549-565, November.
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    Cited by:

    1. Gorodnichenko, Yuriy & Pham, Tho & Talavera, Oleksandr, 2021. "Conference presentations and academic publishing," Economic Modelling, Elsevier, vol. 95(C), pages 228-254.
    2. Elise S. Brezis & Aliaksandr Birukou, 2020. "Arbitrariness in the peer review process," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 393-411, April.

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