Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

How does the academia refer to open research information data sources? A review study based on OpenAlex and Microsoft Academic series

Dados Bibliográficos

ID21443211
AutoresZhe Cao (0000-0002-9379-2013, Wuhan University), Lin Zhang (0000-0001-5966-3827, Wuhan University, autor correspondente), Ying Huang (0000-0003-3569-7576, Wuhan University), Robin Haunschild (0000-0001-7025-7256, Max Planck Institute for Solid State Research)
Ano2026
Volume131
Fascículo2
Páginas873-899
Data de publicação2026-02-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoScientometrics (JOURNAL)
Identificadores do periódicoISSN: 0138-9130 • E-ISSN: 1588-2861
EditoraSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11192-025-05347-6
OpenAlexW4411667926
IdiomaEN
Citações recebidas1
Referências citadas84

Data science · Information retrieval · Library science · Mathematics education · Series (stratigraphy) · World Wide Web · Big Data and Business Intelligence · Computer Science · Mathematics · Research Data Management Practices · scientometrics and bibliometrics research

  • Beyond openness

    Open Access•Lin Zhang, Zhe Cao et al.•Scientometrics•2026

  • A meta systematic review of artificial intelligence in higher education

    Open Access•Michael Bond, Hassan Khosravi et al.•International Journal of…•2024

  • Web of Science use in published research and review papers 1997–2017

    Open Access•Kai Li, Jason Rollins et al.•Scientometrics•2018

  • An Overview of Microsoft Academic Service (MAS) and Applications

    Open Access•Arnab Sinha, Z Shen et al.•Proceedings of the 24th…•2015

  • The altering landscape of US–China science collaboration

    Open Access•Kensei Kitajima, Keisuke Okamura•Humanities and Social Sciences…•2025

  • Between urgency and data quality

    Open Access•Veronika Batzdorfer, Wolfgang Zenk-Möltgen et al.•Research Ethics•2024

  • Finding citations for PubMed

    Open Access•Zhentao Liang, Jin Mao et al.•Scientometrics•2021

  • Clara

    Open Access•Hayat Dino Bedru, Chen Zhang et al.•Scientometrics•2023

  • Missing institutions in OpenAlex

    Open Access•Lin Zhang, Zhe Cao et al.•Scientometrics•2024

  • Impacts of inter-institutional mobility on scientific performance from research capital and social capital perspectives

    Open Access•Yitong Chen, Keye Wu et al.•Scientometrics•2023

  • A decade of in-text citation analysis based on natural language processing and machine learning techniques

    Open Access•Sehrish Iqbal, Saeed‐Ul Hassan et al.•Scientometrics•2021

  • Streetlight effect in PubPeer comments

    Open Access•Abdelghani Maddi, Emmanuel Monneau et al.•Scientometrics•2024

  • Reference coverage analysis of OpenAlex compared to Web of Science and Scopus

    Open Access•Jack H Culbert, Anne Hobert et al.•Scientometrics•2025

  • The indexation of retracted literature in seven principal scholarly databases

    Open Access•José-Luis Ortega, Lorena Delgado-Quirós•Scientometrics•2024

  • A matter of time

    Open Access•Weishu Liu•Scientometrics•2021

  • Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ Coci

    Open Access•Alberto Martín‐Martín, Mike Thelwall et al.•Scientometrics•2021

  • Microsoft Academic Graph

    Open Access•Kuansan Wang, Z Shen et al.•Quantitative Science Studies•2020

  • Anatomy of the top 1% most highly cited publications

    Open Access•Antonio Perianes‐Rodríguez, Antonio J Gomez-Nuñez et al.•Quantitative Science Studies•2024

  • The prevalence and impact of university affiliation discrepancies between four bibliographic databases—Scopus, Web of Science, Dimensions, and Microsoft Academic

    Open Access•Philip J Purnell•Quantitative Science Studies•2022

  • Assessing the quality of bibliographic data sources for measuring international research collaboration

    Open Access•Ba Xuan Nguyen, Markus Luczak-Roesch et al.•Quantitative Science Studies•2022

  • How open are hybrid journals included in transformative agreements

    Open Access•Najko Jahn•Quantitative Science Studies•2025

  • Large-scale comparison of bibliographic data sources

    Open Access•Martijn Visser, Nees Jan van Eck et al.•Quantitative Science Studies•2021

  • Google Books, Scopus, Microsoft Academic, and Mendeley for impact assessment of doctoral dissertations

    Open Access•Kayvan Kousha, Mike Thelwall•Quantitative Science Studies•2020

  • An open data set of scholars on Twitter

    Open Access•Philippe Mongeon, Timothy D Bowman et al.•Quantitative Science Studies•2023

  • The Microsoft Academic Knowledge Graph enhanced

    Open Access•Michael Färber, Lin Ao•Quantitative Science Studies•2022

  • Open bibliographic data and the Italian National Scientific Qualification

    Open Access•Federica Bologna, Angelo Di Iorio et al.•Quantitative Science Studies•2022

  • Completeness degree of publication metadata in eight free-access scholarly databases

    Open Access•Lorena Delgado-Quirós, José-Luis Ortega•Quantitative Science Studies•2024

  • Comparison of bibliographic data sources

    Open Access•Chun-Kai Huang, Cameron Neylon et al.•Quantitative Science Studies•2020

  • Revistas más citadas en las patentes sobre coronavirus según Lens.org

    Open Access•Gema Velayos-Ortega, Rosana López Carreño•El Profesional de la Informacion•2020

  • Which of the metadata with relevance for bibliometrics are the same and which are different when switching from Microsoft Academic Graph to OpenAlex

    Open Access•Thomas Scheidsteger, Robin Haunschild•El Profesional de la Informacion•2023

  • Leading countries in global science increasingly receive more citations than other countries doing similar research

    Open Access•Charles J Gomez, Andrew C Herman et al.•Nature Human Behaviour•2022

Obras citantes distintas1
Citações por ano1
Intervalo de citações2026 - 2026 (1)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 1
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae