GeoBM: A Python-based tool for integrated visualization of global bibliometric data

Fu, Chun Chong ; Fleta-Asín, Jorge (Universidad de Zaragoza) ; Muñoz, Fernando (Universidad de Zaragoza) ; Sáenz-Royo, Carlos (Universidad de Zaragoza) ; Wei, Loo Keat

Resumen: The rapid proliferation of scientometric and bibliometric analyses has emphasized the need for robust, scalable methods to visualize complex, large-scale research data. Conventional geospatial visualization techniques—most notably choropleth maps—often introduce significant distortions due to their inability to adequately account for spatial heterogeneity and overdispersion in bibliometric distributions. To address these methodological shortcomings, we propose GeoBM (Geographic Bibliometric Mapping), a computational framework that enables enhanced geovisualization of global scientific output and collaboration patterns. GeoBM integrates normalized country-level publication volumes with bilateral collaboration frequencies to produce high-resolution, interpretable geographic maps that reflect both research intensity and international connectivity. Implemented in Python, the framework leverages modular, algorithmically optimized routines for real-time data processing and visualization, incorporating statistical controls to mitigate overdispersion and enhance visual fidelity. The system supports extensive customization and is deployed via open-source platforms such as Google Colab and GitHub, facilitating broad accessibility and reproducibility. By providing a dual-focus representation of publication density and collaborative strength, GeoBM offers a powerful tool for the spatial analysis of global research networks, contributing to more nuanced evaluations in science policy, research management, and innovation studies.

Idioma: Inglés

DOI: 10.1016/j.mex.2025.103497

Año: 2025

Publicado en: MethodsX 15 (2025), 103497 [7 pp.]
ISSN: 2215-0161

Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP175_21
Financiación: info:eu-repo/grantAgreement/ES/DGA/S38-20R-CIBER
Financiación: info:eu-repo/grantAgreement/ES/DGA/S42-23R-CREVALOR
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2020-113338RB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN PID2022-136818NB-I00/AEI/10.13039/501100011033

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Organización de Empresas (Dpto. Direcc.Organiza.Empresas)
Área (Departamento): Área Economía Finan. y Contab. (Dpto. Contabilidad y Finanzas)