162352 20251017144635.0 doi 10.1016/j.mex.2025.103497 sideral 144920 ART-2025-144920 eng Fu, Chun Chong GeoBM: A Python-based tool for integrated visualization of global bibliometric data 2025 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA/LMP175_21 info:eu-repo/grantAgreement/ES/DGA/S38-20R-CIBER info:eu-repo/grantAgreement/ES/DGA/S42-23R-CREVALOR info:eu-repo/grantAgreement/ES/MICINN/PID2020-113338RB-I00 info:eu-repo/grantAgreement/ES/MICINN PID2022-136818NB-I00/AEI/10.13039/501100011033 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Fleta-Asín, Jorge Universidad de Zaragoza (orcid)0000-0003-3582-116X Muñoz, Fernando Universidad de Zaragoza (orcid)0000-0002-9481-1466 Sáenz-Royo, Carlos Universidad de Zaragoza (orcid)0000-0001-7914-2623 Wei, Loo Keat 4012 650 Universidad de Zaragoza Dpto. Direcc.Organiza.Empresas Área Organización de Empresas 4002 230 Universidad de Zaragoza Dpto. Contabilidad y Finanzas Área Economía Finan. y Contab. 15 (2025), 103497 [7 pp.] MethodsX 2215-0161 2536415 http://zaguan.unizar.es/record/162352/files/texto_completo.pdf Versión publicada 1338292 http://zaguan.unizar.es/record/162352/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:162352 articulos driver 2025-10-17-14:28:57 ARTICLE