T. Elizabeth Workman

36 papers and 351 indexed citations i.

About

T. Elizabeth Workman is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, T. Elizabeth Workman has authored 36 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Molecular Biology and 10 papers in General Health Professions. Recurrent topics in T. Elizabeth Workman’s work include Biomedical Text Mining and Ontologies (15 papers), Topic Modeling (8 papers) and Health Sciences Research and Education (7 papers). T. Elizabeth Workman is often cited by papers focused on Biomedical Text Mining and Ontologies (15 papers), Topic Modeling (8 papers) and Health Sciences Research and Education (7 papers). T. Elizabeth Workman collaborates with scholars based in United States and Japan. T. Elizabeth Workman's co-authors include Guilherme Del Fiol, Paul Gorman, Marcelo Fiszman, Thomas C. Rindflesch, John F. Hurdle, Qing Zeng‐Treitler, Diane Nahl, Guy Divita, Christopher M. Miller and Ingrid Oakley‐Girvan and has published in prestigious journals such as Medical Care, JAMA Internal Medicine and Progress in Cardiovascular Diseases.

In The Last Decade

Co-authorship network of co-authors of T. Elizabeth Workman i

Fields of papers citing papers by T. Elizabeth Workman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Elizabeth Workman. 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 T. Elizabeth Workman. The network helps show where T. Elizabeth Workman may publish in the future.

Countries citing papers authored by T. Elizabeth Workman

Since Specialization
Citations

This map shows the geographic impact of T. Elizabeth Workman'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 T. Elizabeth Workman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Elizabeth Workman 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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