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Tim C E Engels

Datos Biográficos

ID9458177
NOMBRETim C E Engels
NOMBRESTim C E
APELLIDOEngels
FIRMAENGELS T C E
AFILIACIONESUniversity of Antwerp
ORCID0000-0002-4869-7949
VERIFICADOSí
TOTAL DE OBRAS6
TOTAL DE CITAS0
OBRAS COMO AUTOR6
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Comparing disciplinary classifications in SSH

    Open Access•Cristina Arhiliuc, Raf Guns et al.•ARTICLE•Scientometrics•2026

  • Journal article classification using abstracts

    Open Access•Cristina Arhiliuc, Raf Guns et al.•ARTICLE•Scientometrics•2025

  • Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010–2019

    Open Access•Ruinan Li, Raf Guns et al.•ARTICLE•Scientometrics•2023

  • Tracing the context in disciplinary classifications

    Open Access•Linda Sīle, Raf Guns et al.•ARTICLE•Quantitative Science Studies•2021

    Despite the centrality of disciplinary classifications in bibliometric analyses, it is not well known how the choice of disciplinary classification influences bibliometric representations of research in the social sciences and humanities (SSH). This is especially crucial when using data from national databases. Therefore, we examine the differences in the disciplinary profile of an article along with the absolute and relative number of articles a…

  • Fine-grained classification of social science journal articles using textual data

    Open Access•Joshua Eykens, Raf Guns et al.•ARTICLE•Quantitative Science Studies•2021

    We compare two supervised machine learning algorithms—Multinomial Naïve Bayes and Gradient Boosting—to classify social science articles using textual data. The high level of granularity of the classification scheme used and the possibility that multiple categories are assigned to a document make this task challenging. To collect the training data, we query three discipline specific thesauri to retrieve articles corresponding to specialties in the…

  • Publication patterns in the social sciences and humanities

    Open Access•Emanuel Kulczycki, Tim C E Engels et al.•ARTICLE•Scientometrics•2018

    This study investigates patterns in the language and type of social sciences and humanities (SSH) publications in non-English speaking European countries to demonstrate that such patterns are related not only to discipline but also to each country’s cultural and historic heritage. We investigate publication patterns that occur across SSH publications of the whole of the SSH and of economics and business, law, and philosophy and theology publicati…

Sin obras prominentes en esta página.

  • Publication patterns in the social sciences and humanities

    Open Access•Emanuel Kulczycki, Tim C E Engels et al.•ARTICLE•Scientometrics•2018

    This study investigates patterns in the language and type of social sciences and humanities (SSH) publications in non-English speaking European countries to demonstrate that such patterns are related not only to discipline but also to each country’s cultural and historic heritage. We investigate publication patterns that occur across SSH publications of the whole of the SSH and of economics and business, law, and philosophy and theology publicati…

  • Tracing the context in disciplinary classifications

    Open Access•Linda Sīle, Raf Guns et al.•ARTICLE•Quantitative Science Studies•2021

    Despite the centrality of disciplinary classifications in bibliometric analyses, it is not well known how the choice of disciplinary classification influences bibliometric representations of research in the social sciences and humanities (SSH). This is especially crucial when using data from national databases. Therefore, we examine the differences in the disciplinary profile of an article along with the absolute and relative number of articles a…

  • Fine-grained classification of social science journal articles using textual data

    Open Access•Joshua Eykens, Raf Guns et al.•ARTICLE•Quantitative Science Studies•2021

    We compare two supervised machine learning algorithms—Multinomial Naïve Bayes and Gradient Boosting—to classify social science articles using textual data. The high level of granularity of the classification scheme used and the possibility that multiple categories are assigned to a document make this task challenging. To collect the training data, we query three discipline specific thesauri to retrieve articles corresponding to specialties in the…

  • Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010–2019

    Open Access•Ruinan Li, Raf Guns et al.•ARTICLE•Scientometrics•2023

  • Journal article classification using abstracts

    Open Access•Cristina Arhiliuc, Raf Guns et al.•ARTICLE•Scientometrics•2025

  • Comparing disciplinary classifications in SSH

    Open Access•Cristina Arhiliuc, Raf Guns et al.•ARTICLE•Scientometrics•2026

Computer Science (5 obras) · Artificial Intelligence (3 obras) · scientometrics and bibliometrics research (3 obras) · Sociology (3 obras) · Computational and Text Analysis Methods (2 obras) · Data science (2 obras) · Discipline (2 obras) · Interdisciplinary Research and Collaboration (2 obras) · Machine learning (2 obras) · Social science (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae