Journal of Biomedical Informatics

3.2k papers and 134.0k indexed citations i.

About

The 3.2k papers published in Journal of Biomedical Informatics in the last decades have received a total of 134.0k indexed citations. Papers published in Journal of Biomedical Informatics usually cover Molecular Biology (1.5k papers), Artificial Intelligence (1.5k papers) and Health Information Management (524 papers) specifically the topics of Biomedical Text Mining and Ontologies (1.1k papers), Topic Modeling (567 papers) and Machine Learning in Healthcare (445 papers). The most active scholars publishing in Journal of Biomedical Informatics are Paul A. Harris, José G. Conde, Robert Taylor, Robert J. Thielke, Jacqueline Kirby, Stephany N. Duda, Francesco Delacqua, Robert J. Taylor, Michelle Fernández and Laura McLeod.

In The Last Decade

Fields of papers published in Journal of Biomedical Informatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Biomedical Informatics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Biomedical Informatics.

Countries where authors publish in Journal of Biomedical Informatics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Biomedical Informatics. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of Biomedical Informatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Biomedical Informatics more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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