Health Informatics
Impact in
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- Online Learning and Analytics
- Safety Research 60.3k
- Ethics and Social Impacts of AI
Also classified as
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- Artificial Intelligence in Healthcare 2.2k
- Family Practice 1.0k
Health Informatics
26.7k papers receiving 519.4k citations
Countries where authors publish papers about Health Informatics
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
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.
About Health Informatics
39.4k papers covering Health Informatics have received a total of 717.9k indexed citations since 1950 . Papers on Health Informatics are most often about the specific topic of Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Machine Learning in Healthcare, Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI), Artificial Intelligence in Healthcare and AI in cancer detection and also cover the fields of Health Information Management, Family Practice, Safety Research, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. Papers citing work on Health Informatics are usually about Computer Science Applications, Safety Research, Health Information Management, Artificial Intelligence and Family Practice. 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 Cecilia Ka Yuk Chan.
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.