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Irene Mazzotta

Datos Biográficos

ID964409
NOMBREIrene Mazzotta
NOMBRESIrene
APELLIDOMazzotta
FIRMAMAZZOTTA I
AFILIACIONESItalian National Agency for the Evaluation of Universities and Research Institutes
ORCID0000-0002-2983-600X
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS4
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2010
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H1
  • Have you Read This? An Empirical Comparison of the British REF Peer Review and the Italian VQR Bibliometric Algorithm

    Open Access•Daniele Checchi, Alberto Ciolfi et al.•ARTICLE•Economica•2021

    This paper determines the assessment of publications submitted to the UK research evaluation carried out in 2014, the REF, which would have resulted if they had been assessed with the bibliometric algorithm used by the Italian evaluation agency, ANVUR, for its evaluation of the research of Italian universities. We find extremely high correlations between the two assessment approaches

  • Convergence or polarisation? The impact of research assessment exercises in the Italian case

    Open Access•Daniele Checchi, Irene Mazzotta et al.•ARTICLE•Scientometrics•2020

  • User attitude towards an embodied conversational agent

    Open Access•Nicole Novielli, Fiorella De Rosis et al.•ARTICLE•Journal of Pragmatics•2010•Citada por: 4•Referencias: 13

  • User attitude towards an embodied conversational agent

    Open Access•Nicole Novielli, Fiorella De Rosis et al.•ARTICLE•Journal of Pragmatics•2010•Citada por: 4•Referencias: 13

  • User attitude towards an embodied conversational agent

    Open Access•Nicole Novielli, Fiorella De Rosis et al.•ARTICLE•Journal of Pragmatics•2010•Citada por: 4•Referencias: 13

  • Convergence or polarisation? The impact of research assessment exercises in the Italian case

    Open Access•Daniele Checchi, Irene Mazzotta et al.•ARTICLE•Scientometrics•2020

  • Have you Read This? An Empirical Comparison of the British REF Peer Review and the Italian VQR Bibliometric Algorithm

    Open Access•Daniele Checchi, Alberto Ciolfi et al.•ARTICLE•Economica•2021

    This paper determines the assessment of publications submitted to the UK research evaluation carried out in 2014, the REF, which would have resulted if they had been assessed with the bibliometric algorithm used by the Italian evaluation agency, ANVUR, for its evaluation of the research of Italian universities. We find extremely high correlations between the two assessment approaches

Computer Science (3 obras) · Mathematics (2 obras) · Political science (2 obras) · Advertising (1 obra) · Agency (philosophy) (1 obra) · AI in Service Interactions (1 obra) · Algorithm (1 obra) · Arbitrariness (1 obra) · Artificial Intelligence (1 obra) · Bibliometrics (1 obra)

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