Thomas M. Gudewicz
- Artificial Intelligence top 10%
- Molecular Biology
- Dermatology top 10%
- Pathology and Forensic Medicine
- Oncology
- Co-authors
- Michelle C. SpechtSuzanne B. CoopeyBarbara L. SmithMichele A. GaddKevin S. HughesJudy E. GarberJulliette M. BuckleyFernanda Polubriaginof
- Topics
- Biomedical Text Mining and Ontologies (3 papers)AI in cancer detection (3 papers)Cancer and Skin Lesions (2 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Thomas M. Gudewicz
14 papers receiving 329 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 127
- Molecular Biology 115
- Dermatology 60
- Pathology and Forensic Medicine 50
- Oncology 49
Countries citing papers authored by Thomas M. Gudewicz
This map shows the geographic impact of Thomas M. Gudewicz'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 Thomas M. Gudewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Gudewicz more than expected).
Fields of papers citing papers by Thomas M. Gudewicz
This network shows the impact of papers produced by Thomas M. Gudewicz. 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 Thomas M. Gudewicz. The network helps show where Thomas M. Gudewicz may publish in the future.
Co-authorship network of co-authors of Thomas M. Gudewicz
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Gudewicz. A scholar is included among the top collaborators of Thomas M. Gudewicz 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 Thomas M. Gudewicz. Thomas M. Gudewicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 72 | |
| 3 | 27 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 30 | |
| 8 | 12 | |
| 9 | 38 | |
| 10 | 88 | |
| 11 | 6 | |
| 12 | 37 | |
| 13 | Health of U.S. Navy submarine crew during periods of isolation. | 9 |
| 14 | 10 |
About Thomas M. Gudewicz
Thomas M. Gudewicz is a scholar working on Dermatology, Health Information Management and Neurology, having authored 14 papers that have together received 343 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), AI in cancer detection (3 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Health Informatics (12 citations), Dermatology (60 citations) and Health Information Management (24 citations). Thomas M. Gudewicz has collaborated with scholars based in United States and France. Frequent co-authors include Michelle C. Specht, Suzanne B. Coopey, Barbara L. Smith, Michele A. Gadd, Kevin S. Hughes, Judy E. Garber, Julliette M. Buckley, Fernanda Polubriaginof, Anand S. Dighe and John R. Gilbertson. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and PLoS ONE.
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.