JMIR Medical Informatics

1.5k papers and 19.2k indexed citations

About

The 1.5k papers published in JMIR Medical Informatics in the last decades have received a total of 19.2k indexed citations. Papers published in JMIR Medical Informatics usually cover Artificial Intelligence (450 papers), Health Information Management (371 papers) and General Health Professions (282 papers) specifically the topics of Electronic Health Records Systems (271 papers), Machine Learning in Healthcare (245 papers) and Biomedical Text Mining and Ontologies (231 papers). The most active scholars publishing in JMIR Medical Informatics are Clemens Scott Kruse, ‪Irena Spasić, Jiancheng Ye, Onur Asan, Avishek Choudhury, Goran Nenadić, Joon Lee, Han Shi Jocelyn Chew, Anjum Khurshid and Hong Yu.

In The Last Decade

JMIR Medical Informatics

1.3k papers receiving 18.7k citations

Fields of papers published in JMIR Medical Informatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in JMIR Medical 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 JMIR Medical Informatics.

Countries where authors publish in JMIR Medical Informatics

Since Specialization
Citations

This map shows the geographic impact of research published in JMIR Medical 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 JMIR Medical Informatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JMIR Medical 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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