Learning Health Systems

283 papers and 2.4k indexed citations i.

About

The 283 papers published in Learning Health Systems in the last decades have received a total of 2.4k indexed citations. Papers published in Learning Health Systems usually cover General Health Professions (166 papers), Public Health, Environmental and Occupational Health (82 papers) and Health Information Management (47 papers) specifically the topics of Health Policy Implementation Science (84 papers), Primary Care and Health Outcomes (75 papers) and Electronic Health Records Systems (39 papers). The most active scholars publishing in Learning Health Systems are Charles P. Friedman, Vasa Ćurčin, Jordan Everson, Michael Seid, Nancy Kass, Luke Vale, Marcy Winget, Cati Brown‐Johnson, Jonathan G. Shaw and Nadia Safaeinili.

In The Last Decade

Fields of papers published in Learning Health Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Learning Health Systems. 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 Learning Health Systems.

Countries where authors publish in Learning Health Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Learning Health Systems. 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 Learning Health Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Learning Health Systems 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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2025