Health Informatics

42.7k papers and 735.2k indexed citations

About

42.7k papers covering Health Informatics have received a total of 735.2k indexed citations since 1950. Papers on subfields are most often about the specific topic of Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI and Radiomics and Machine Learning in Medical Imaging and also cover the fields of Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Safety Research. Papers citing papers on subfields are usually about Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Safety Research. Some of the most active scholars covering Health Informatics are Eric J. Topol, Cynthia Rudin, Malik Sallam, Amina Adadi, Mohammed Berrada, Isaac S. Kohane, Partha Pratim Ray, Bertalan Meskó, Luciano Floridi and Ziad Obermeyer.

In The Last Decade

Health Informatics

28.3k papers receiving 514.8k citations

Countries where authors publish papers about Health Informatics

Since Specialization
Citations

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

Fields of papers citing papers about Health Informatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Health 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 covering Health Informatics.

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