Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The effect of using Orcid iD on improving the visibility and retrieval of Arab University publications

Bibliographic Data

ID21442864
AuthorsBahaa Ibrahim (0000-0001-7663-1499, Ain Shams University, corresponding author), Mina Ramzy (0000-0003-3177-8790, Ain Shams University)
Year2025
Volume130
Issue12
Pages7053-7082
Publication date2025-12-01
Open AccessYes
TypeARTICLE
VenueScientometrics (JOURNAL)
Journal identifiersISSN: 0138-9130 • E-ISSN: 1588-2861
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11192-025-05505-w
OpenAlexW4417470997
LanguageEN
References cited91

ORCID iD is a unique author identifier that solves the challenges of identifying authors and attributing their scientific production. Some studies have suggested that adopting ORCID iD may enhance the visibility and discoverability of publications. However, these assumptions have not been empirically investigated. Therefore, this study examines the potential effect of including an ORCID iD in Web of Science metadata on publication visibility, retrievability, and scholarly impact. The analysis focused on the literature produced by Arab universities and indexed in the Web of Science database between 2019 and 2023, yielding a dataset of 569,038 publications. The propensity score matching (PSM) analysis was employed to control for selection bias and confounding, using 17 covariates. The results of the PSM analysis reveal significant positive effects ( P

Citation analysis · Discoverability · Identifier · Matching (statistics) · Metadata · Visibility · Web of science · Academic Writing and Publishing · Organizational and Employee Performance · scientometrics and bibliometrics research

  • A solution to the problem of separation in logistic regression

    Open Access•Georg Heinze, M Schemper•Statistics in Medicine•2002

  • Factors affecting number of citations

    Open Access•Iman Tahamtan, Askar Safipour Afshar et al.•Scientometrics•2016

  • Matching As An Econometric Evaluation Estimator

    James J Heckman, Hidehiko Ichimura et al.•The Review of Economic Studies•1998

  • Interdisciplinarity and Impact

    Open Access•Jian Wang, Bart Thijs et al.•PLoS ONE•2015

  • Reducing Bias in Observational Studies Using Subclassification on the Propensity Score

    Paul R Rosenbaum, Donald B Rubin•Journal of the American…•1984

  • Do Altmetrics Work? Twitter and Ten Other Social Web Services

    Open Access•Mike Thelwall, Stefanie Haustein et al.•PLoS ONE•2013

  • Some Practical Guidance for the Implementation of Propensity Score Matching

    Open Access•Marco Caliendo, Sabine Kopeinig•Journal of Economic Surveys•2008

  • The central role of the propensity score in observational studies for causal effects

    Paul R Rosenbaum, Donald B Rubin•Biometrika•1983

  • Availability of Orcids in publications archived in PubMed, Medline, and Web of Science Core Collection

    Open Access•Christophe Boudry•Scientometrics•2021

  • A multi-dimensional analysis of usage counts, Mendeley readership, and citations for journal and conference papers

    Open Access•Wencan Tian, Zhichao Fang et al.•Scientometrics•2024

  • The journal coverage of Web of Science, Scopus and Dimensions

    Open Access•Vivek Kumar Singh, Prashasti Singh et al.•Scientometrics•2021

  • Exploring the relevance of Orcid as a source of study of data sharing activities at the individual-level

    Open Access•Andrea Sixto-Costoya, Nicolás Robinson‐García et al.•Scientometrics•2021

  • Does research collaboration influence the “disruption” of articles? Evidence from neurosciences

    Open Access•Dongqing Lyu, Kaile Gong et al.•Scientometrics•2021

  • Abuse of Orcid’s weaknesses by authors who use paper mills

    Open Access•Jaime A Teixeira Da Silva•Scientometrics•2021

  • The relationship between web usage and citation statistics for electronics and information technology articles

    Open Access•Anthony Breitzman•Scientometrics•2021

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae