Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies

Detalhes bibliográficos
Autor(a) principal: Maricato, João de Melo
Data de Publicação: 2021
Outros Autores: Santos, Priscila Rodrigues dos
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UnB
Texto Completo: https://repositorio.unb.br/handle/10482/45193
https://orcid.org/0000-0001-9162-6866
https://orcid.org/0000-0002-1897-8838
Resumo: The use of different bibliometric indicators to analyze the individual scientific production of researchers constantly raises questions among several authors. Based on this problem, Waltman, Van Eck and Wouters (2013) propose a methodology that values highly cited papers (high impact) over low cited papers (low impact). To this end, the authors developed a stylized Highly Cited Publications (HCP) index aiming to minimize some limitations inherent to the metrics used to evaluate scientists. The present work proposes to carry out the empirical application of the HCP index stylized by the authors to researchers in the field of Information Metrics Studies (IMS) in Brazil in order to identify its potentialities and limitations. The research data was limited to 101 researchers in the area of IMS in Brazil, who had their production and citation data extracted from Google Citations in the month of July 2020, being evaluated different data sets in two distinct time periods (1941-2020 versus 2010-2020), for the purpose of comparative analysis, being possible to observe that according to Person's correlation, the use of different data sets, as long as they respect the same variables, do not show significant changes in the ranking of the researchers' HCP indexes. The use of the stylized HCP index is interesting for the identification of highly cited publications and can be used to complement the evaluation indicators, but it presents limitations that may inhibit its use, for example, the negative indexes of specific researchers.
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spelling Maricato, João de MeloSantos, Priscila Rodrigues dosmailto:jmmaricato@gmail.commailto:priscilarssantos@outlook.com2022-11-18T20:40:54Z2022-11-18T20:40:54Z2021MARICATO, João Melo; SANTOS, Priscila Rodrigues dos. Highly Cited Publications index (HCP) for individual evaluation: applications in Brazilian information metric studies. Library Philosophy and Practice, art. 6394, 2021. Disponível em: https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=12160&context=libphilprac. Acesso em: 18 nov. 2022.https://repositorio.unb.br/handle/10482/45193https://orcid.org/0000-0001-9162-6866https://orcid.org/0000-0002-1897-8838University of Nebraska - LincolnLPP Copyright Statement - The Author assigns to the Editors of Library Philosophy and Practice (LPP) the right to publish and distribute her/his manuscript as an electronic journal article. The assignment will be effective so long as LPP is available on computer networks. The Author will remain the sole owner of her/his manuscript and of the copyright in that manuscript. The Author may publish the manuscript in any other journal or medium but any such subsequent publication must include a notice that the manuscript was also published by LPP. LPP readers may copy or download the article resulting from the author’s manuscript from the network. Any distribution or publication of said article by readers will constitute an infringement of the Author’s copyright. The Author agrees to hold LPP blameless for any unauthorized use of the article by its readers. Fonte: https://digitalcommons.unl.edu/libphilprac/copyright.html. Acesso em: 18 nov. 2022.info:eu-repo/semantics/openAccessHighly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBibliometriaEstudos Métricos da Informação (EMI)Highly cited publications (HCP)The use of different bibliometric indicators to analyze the individual scientific production of researchers constantly raises questions among several authors. Based on this problem, Waltman, Van Eck and Wouters (2013) propose a methodology that values highly cited papers (high impact) over low cited papers (low impact). To this end, the authors developed a stylized Highly Cited Publications (HCP) index aiming to minimize some limitations inherent to the metrics used to evaluate scientists. The present work proposes to carry out the empirical application of the HCP index stylized by the authors to researchers in the field of Information Metrics Studies (IMS) in Brazil in order to identify its potentialities and limitations. The research data was limited to 101 researchers in the area of IMS in Brazil, who had their production and citation data extracted from Google Citations in the month of July 2020, being evaluated different data sets in two distinct time periods (1941-2020 versus 2010-2020), for the purpose of comparative analysis, being possible to observe that according to Person's correlation, the use of different data sets, as long as they respect the same variables, do not show significant changes in the ranking of the researchers' HCP indexes. The use of the stylized HCP index is interesting for the identification of highly cited publications and can be used to complement the evaluation indicators, but it presents limitations that may inhibit its use, for example, the negative indexes of specific researchers.Faculdade de Ciência da Informação (FCI)porreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNBORIGINALARTIGO_HighlyCitedPublications.pdfARTIGO_HighlyCitedPublications.pdfapplication/pdf704877http://repositorio2.unb.br/jspui/bitstream/10482/45193/1/ARTIGO_HighlyCitedPublications.pdfa6f52a3d58bfe0917ceb5c42d85bf019MD51open accessLICENSElicense.txtlicense.txttext/plain176http://repositorio2.unb.br/jspui/bitstream/10482/45193/2/license.txt6362826ab61776e0a9f64300c9b3e97eMD52open access10482/451932023-06-22 20:29:48.573open accessoai:repositorio2.unb.br:10482/45193U3VibWlzc8OjbyBlZmV0aXZhZGEgcG9yIGludGVncmFudGUgZGEgZXF1aXBlIGRvIFJlcG9zaXTDs3JpbyBJbnN0aXR1Y2lvbmFsIGRhIFVuQiBkZSBhY29yZG8gY29tIGxpY2Vuw6dhIGNvbmNlZGlkYSBwZWxvIGF1dG9yIGUvb3UgZGV0ZW50b3IgZG9zIGRpcmVpdG9zIGF1dG9yYWlzIHBhdHJpbW9uaWFpcy4=Biblioteca Digital de Teses e DissertaçõesPUBhttps://repositorio.unb.br/oai/requestopendoar:2023-06-22T23:29:48Repositório Institucional da UnB - Universidade de Brasília (UnB)false
dc.title.pt_BR.fl_str_mv Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies
title Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies
spellingShingle Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies
Maricato, João de Melo
Bibliometria
Estudos Métricos da Informação (EMI)
Highly cited publications (HCP)
title_short Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies
title_full Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies
title_fullStr Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies
title_full_unstemmed Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies
title_sort Highly Cited Publications index (HCP) for individual evaluation : applications in Brazilian information metric studies
author Maricato, João de Melo
author_facet Maricato, João de Melo
Santos, Priscila Rodrigues dos
author_role author
author2 Santos, Priscila Rodrigues dos
author2_role author
dc.contributor.email.pt_BR.fl_str_mv mailto:jmmaricato@gmail.com
mailto:priscilarssantos@outlook.com
dc.contributor.author.fl_str_mv Maricato, João de Melo
Santos, Priscila Rodrigues dos
dc.subject.keyword.pt_BR.fl_str_mv Bibliometria
Estudos Métricos da Informação (EMI)
Highly cited publications (HCP)
topic Bibliometria
Estudos Métricos da Informação (EMI)
Highly cited publications (HCP)
description The use of different bibliometric indicators to analyze the individual scientific production of researchers constantly raises questions among several authors. Based on this problem, Waltman, Van Eck and Wouters (2013) propose a methodology that values highly cited papers (high impact) over low cited papers (low impact). To this end, the authors developed a stylized Highly Cited Publications (HCP) index aiming to minimize some limitations inherent to the metrics used to evaluate scientists. The present work proposes to carry out the empirical application of the HCP index stylized by the authors to researchers in the field of Information Metrics Studies (IMS) in Brazil in order to identify its potentialities and limitations. The research data was limited to 101 researchers in the area of IMS in Brazil, who had their production and citation data extracted from Google Citations in the month of July 2020, being evaluated different data sets in two distinct time periods (1941-2020 versus 2010-2020), for the purpose of comparative analysis, being possible to observe that according to Person's correlation, the use of different data sets, as long as they respect the same variables, do not show significant changes in the ranking of the researchers' HCP indexes. The use of the stylized HCP index is interesting for the identification of highly cited publications and can be used to complement the evaluation indicators, but it presents limitations that may inhibit its use, for example, the negative indexes of specific researchers.
publishDate 2021
dc.date.issued.fl_str_mv 2021
dc.date.accessioned.fl_str_mv 2022-11-18T20:40:54Z
dc.date.available.fl_str_mv 2022-11-18T20:40:54Z
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dc.identifier.citation.fl_str_mv MARICATO, João Melo; SANTOS, Priscila Rodrigues dos. Highly Cited Publications index (HCP) for individual evaluation: applications in Brazilian information metric studies. Library Philosophy and Practice, art. 6394, 2021. Disponível em: https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=12160&context=libphilprac. Acesso em: 18 nov. 2022.
dc.identifier.uri.fl_str_mv https://repositorio.unb.br/handle/10482/45193
dc.identifier.orcid.pt_BR.fl_str_mv https://orcid.org/0000-0001-9162-6866
https://orcid.org/0000-0002-1897-8838
identifier_str_mv MARICATO, João Melo; SANTOS, Priscila Rodrigues dos. Highly Cited Publications index (HCP) for individual evaluation: applications in Brazilian information metric studies. Library Philosophy and Practice, art. 6394, 2021. Disponível em: https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=12160&context=libphilprac. Acesso em: 18 nov. 2022.
url https://repositorio.unb.br/handle/10482/45193
https://orcid.org/0000-0001-9162-6866
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