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    Reviewers’ scores do not predict impact: bibliometric analysis of the proceedings of the human–robot interaction conference (2017)

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    Type of Content
    Journal Article
    UC Permalink
    https://hdl.handle.net/10092/100853
    
    Publisher's DOI/URI
    http://doi.org/10.1007/s11192-016-2176-y
    
    Publisher
    Springer Science and Business Media LLC
    ISSN
    0138-9130
    1588-2861
    Language
    en
    Collections
    • Engineering: Journal Articles [1644]
    Authors
    Bartneck, Christoph cc
    show all
    Abstract

    © 2016, Akadémiai Kiadó, Budapest, Hungary. 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%.

    Citation
    Bartneck C (2017). Reviewers’ scores do not predict impact: bibliometric analysis of the proceedings of the human–robot interaction conference. Scientometrics. 110(1). 179-194.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Keywords
    Human-robot interaction; HRI; Conference; Proceedings; Acceptance rate
    ANZSRC Fields of Research
    46 - Information and computing sciences::4602 - Artificial intelligence::460205 - Intelligent robotics
    46 - Information and computing sciences::4608 - Human-centred computing::460806 - Human-computer interaction
    46 - Information and computing sciences::4610 - Library and information studies::461005 - Informetrics
    Rights
    All rights reserved unless otherwise stated
    http://hdl.handle.net/10092/17651

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