GeoBM: A Python-based tool for integrated visualization of global bibliometric data
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-12-01
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| Series: | MethodsX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125003425 |
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| author | Chun Chong Fu Jorge Fleta-Asín Fernando Muñoz Carlos Sáenz-Royo Loo Keat Wei |
| author_facet | Chun Chong Fu Jorge Fleta-Asín Fernando Muñoz Carlos Sáenz-Royo Loo Keat Wei |
| author_sort | Chun Chong Fu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-264d441d72664f8f8cdae73849d1d16d |
| institution | DOAJ |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj-art-264d441d72664f8f8cdae73849d1d16d2025-08-20T03:08:18ZengElsevierMethodsX2215-01612025-12-011510349710.1016/j.mex.2025.103497GeoBM: A Python-based tool for integrated visualization of global bibliometric dataChun Chong Fu0Jorge Fleta-Asín1Fernando Muñoz2Carlos Sáenz-Royo3Loo Keat Wei4Department of Biological Science, Faculty of Science, Universiti Tunku Abdul Rahman, Bandar Barat, 31900 Kampar, Perak, MalaysiaIEDIS. Departamento de Dirección y Organización de Empresas, Facultad de Economía y Empresa, Universidad de Zaragoza, Gran Vía, 2, 50005 Zaragoza, Spain; Expert from the SIP Foundation, Zaragoza, SpainExpert from the SIP Foundation, Zaragoza, Spain; IEDIS. Departamento de Contabilidad y Finanzas, Facultad de Economía y Empresa, Universidad de Zaragoza, Gran Vía, 2, 50005 Zaragoza, SpainExpert from the SIP Foundation, Zaragoza, Spain; Departamento de Dirección y Organización de Empresas, Facultad de Ciencias Sociales y del Trabajo, Universidad de Zaragoza, Violante de Hungría, 23, 50009 Zaragoza, SpainDepartment of Biological Science, Faculty of Science, Universiti Tunku Abdul Rahman, Bandar Barat, 31900 Kampar, Perak, Malaysia; Centre for Biomedical and Nutrition Research (CBNR), Universiti Tunku Abdul Rahman, Bandar Barat, 31900 Kampar, Perak, Malaysia; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2215016125003425Bibliometric analysisBibliometrixVOSviewerCitespacePython algorithmCountry collaboration map |
| spellingShingle | Chun Chong Fu Jorge Fleta-Asín Fernando Muñoz Carlos Sáenz-Royo Loo Keat Wei GeoBM: A Python-based tool for integrated visualization of global bibliometric data MethodsX Bibliometric analysis Bibliometrix VOSviewer Citespace Python algorithm Country collaboration map |
| title | GeoBM: A Python-based tool for integrated visualization of global bibliometric data |
| title_full | GeoBM: A Python-based tool for integrated visualization of global bibliometric data |
| title_fullStr | GeoBM: A Python-based tool for integrated visualization of global bibliometric data |
| title_full_unstemmed | GeoBM: A Python-based tool for integrated visualization of global bibliometric data |
| title_short | GeoBM: A Python-based tool for integrated visualization of global bibliometric data |
| title_sort | geobm a python based tool for integrated visualization of global bibliometric data |
| topic | Bibliometric analysis Bibliometrix VOSviewer Citespace Python algorithm Country collaboration map |
| url | http://www.sciencedirect.com/science/article/pii/S2215016125003425 |
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