T. Elizabeth Workman

604 total citations
40 papers, 404 citations indexed

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 40 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Molecular Biology and 11 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, Qing Zeng‐Treitler, John F. Hurdle, Guy Divita, Diane Nahl, Christopher M. Miller and Yijun Shao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Care and Journal of General Internal Medicine.

In The Last Decade

T. Elizabeth Workman

36 papers receiving 397 citations

Peers

T. Elizabeth Workman
Comparison fields: 5 of 93
  • Molecular Biology 122
  • Artificial Intelligence 120
  • General Health Professions 112
  • Health Information Management 56
  • Public Health, Environmental and Occupational Health 55
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Citations per field, relative to T. Elizabeth Workman
T. Elizabeth Workman · 1×
Citations per year, relative to T. Elizabeth Workman
T. Elizabeth Workman · 1×

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of T. Elizabeth Workman. A scholar is included among the top collaborators of T. Elizabeth Workman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Elizabeth Workman. T. Elizabeth Workman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 4
5 3
6 0
7 6
8 0
9 0
10 3
11 1
12 5
13 6
14 2
15 18
16
Clinicians' Patient Care Information Needs: Preliminary Results of a Systematic Review of the Literature.
3
17 6
18 7
19 9
20 7

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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