Artificial Intelligence in Medicine

2.4k papers and 76.0k indexed citations

About

The 2.4k papers published in Artificial Intelligence in Medicine in the last decades have received a total of 76.0k indexed citations. Papers published in Artificial Intelligence in Medicine usually cover Artificial Intelligence (1.1k papers), Molecular Biology (595 papers) and Radiology, Nuclear Medicine and Imaging (321 papers) specifically the topics of Biomedical Text Mining and Ontologies (340 papers), Machine Learning in Healthcare (250 papers) and Semantic Web and Ontologies (186 papers). The most active scholars publishing in Artificial Intelligence in Medicine are Igor Kononenko, Ann E. Smith, A. E. Eiben, Silvana Quaglini, Yuval Shaḥar, Dursun Delen, Rudy Setiono, Glenn Walker, Mario Stefanelli and Hussein A. Abbass.

In The Last Decade

Artificial Intelligence in Medicine

2.2k papers receiving 71.0k citations

Peers

Artificial Intelligence in Medicine
Comparison fields: 5 of 246
  • Artificial Intelligence 29.4k
  • Molecular Biology 12.1k
  • Radiology, Nuclear Medicine and Imaging 10.3k
  • Computer Vision and Pattern Recognition 9.6k
  • Health Information Management 8.6k
Replace Journal of Biomedical Informatics with:
Journal of Biomedical Informatics United States
Journal of Medical Systems United States
International Journal of Medical Informatics United States
IEEE Journal of Biomedical and Health Informatics China
Scientific Data United States
BMC Medical Informatics and Decision Making United States
Journal of the American Medical Informatics Association United States
The American Statistician United States
Information Fusion China
Computational and Mathematical Methods in Medicine China
Journal of Biomedical Informatics United States View profile →
Citations per field, relative to Artificial Intelligence in Medicine
Artificial Intelligence in Medicine · 1×
Citations per year, relative to Artificial Intelligence in Medicine
Artificial Intelligence in Medicine · 1×

Countries where authors publish in Artificial Intelligence in Medicine

Since Specialization
Citations

This map shows the geographic impact of research published in Artificial Intelligence in Medicine. 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 Artificial Intelligence in Medicine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artificial Intelligence in Medicine more than expected).

Fields of papers published in Artificial Intelligence in Medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Artificial Intelligence in Medicine. 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 Artificial Intelligence in Medicine.

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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2026