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).
Fields of papers published in JMIR Medical Informatics
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.
About JMIR Medical Informatics
The 1.5k papers published in JMIR Medical Informatics in the last decades have received a total of 21.8k indexed citations . Papers published in JMIR Medical Informatics usually cover Health Informatics (122 papers), Health Information Management (384 papers), Medical Terminology (6 papers), Family Practice (40 papers) and Artificial Intelligence (466 papers) specifically the topics of Electronic Health Records Systems (278 papers), Machine Learning in Healthcare (254 papers), Biomedical Text Mining and Ontologies (236 papers), Topic Modeling (148 papers), Mobile Health and mHealth Applications (134 papers), Artificial Intelligence in Healthcare and Education (122 papers), Artificial Intelligence in Healthcare (87 papers) and Healthcare Systems and Technology (83 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.
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.