000162352 001__ 162352
000162352 005__ 20251017144635.0
000162352 0247_ $$2doi$$a10.1016/j.mex.2025.103497
000162352 0248_ $$2sideral$$a144920
000162352 037__ $$aART-2025-144920
000162352 041__ $$aeng
000162352 100__ $$aFu, Chun Chong
000162352 245__ $$aGeoBM: A Python-based tool for integrated visualization of global bibliometric data
000162352 260__ $$c2025
000162352 5060_ $$aAccess copy available to the general public$$fUnrestricted
000162352 5203_ $$aThe 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.
000162352 536__ $$9info:eu-repo/grantAgreement/ES/DGA/LMP175_21$$9info:eu-repo/grantAgreement/ES/DGA/S38-20R-CIBER$$9info:eu-repo/grantAgreement/ES/DGA/S42-23R-CREVALOR$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-113338RB-I00$$9info:eu-repo/grantAgreement/ES/MICINN PID2022-136818NB-I00/AEI/10.13039/501100011033
000162352 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000162352 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000162352 700__ $$0(orcid)0000-0003-3582-116X$$aFleta-Asín, Jorge$$uUniversidad de Zaragoza
000162352 700__ $$0(orcid)0000-0002-9481-1466$$aMuñoz, Fernando$$uUniversidad de Zaragoza
000162352 700__ $$0(orcid)0000-0001-7914-2623$$aSáenz-Royo, Carlos$$uUniversidad de Zaragoza
000162352 700__ $$aWei, Loo Keat
000162352 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000162352 7102_ $$14002$$2230$$aUniversidad de Zaragoza$$bDpto. Contabilidad y Finanzas$$cÁrea Economía Finan. y Contab.
000162352 773__ $$g15 (2025), 103497 [7 pp.]$$tMethodsX$$x2215-0161
000162352 8564_ $$s2536415$$uhttps://zaguan.unizar.es/record/162352/files/texto_completo.pdf$$yVersión publicada
000162352 8564_ $$s1338292$$uhttps://zaguan.unizar.es/record/162352/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000162352 909CO $$ooai:zaguan.unizar.es:162352$$particulos$$pdriver
000162352 951__ $$a2025-10-17-14:28:57
000162352 980__ $$aARTICLE