Jennifer H. Garvin

About

Jennifer H. Garvin is a scholar working on Health Information Management, General Health Professions and Artificial Intelligence. According to data from OpenAlex, Jennifer H. Garvin has authored 55 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health Information Management, 12 papers in General Health Professions and 11 papers in Artificial Intelligence. Recurrent topics in Jennifer H. Garvin’s work include Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (7 papers) and Accuracy of Clinical Coding in Healthcare Data (7 papers). Jennifer H. Garvin is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (7 papers) and Accuracy of Clinical Coding in Healthcare Data (7 papers). Jennifer H. Garvin collaborates with scholars based in United States, Canada and United Arab Emirates. Jennifer H. Garvin's co-authors include Stéphane M. Meystre, Bruce E. Bray, Young-Jun Kim, Matthew H. Samore, Shuying Shen, Andrew Redd, Mary K. Goldstein, Brett R. South, Michael E. Matheny and Paul A. Heidenreich and has published in prestigious journals such as Medical Care, BMC Bioinformatics and Journal of General Internal Medicine.

In The Last Decade

Co-authorship network of co-authors of Jennifer H. Garvin i

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Fields of papers citing papers by Jennifer H. Garvin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer H. Garvin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer H. Garvin. The network helps show where Jennifer H. Garvin may publish in the future.

Countries citing papers authored by Jennifer H. Garvin

Since Specialization

Citations

This map shows the geographic impact of Jennifer H. Garvin's research. 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 Jennifer H. Garvin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer H. Garvin 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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