Thomas E. Tavolara
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- AI in cancer detection 17
- Oncology 15
- Colorectal Cancer Screening and Detection 8
- Co-authors
- Metin N. Gürcan (33 shared papers)Muhammad Khalid Khan Niazi (29 shared papers)Gillian Beamer (7 shared papers)Scott Segal (2 shared papers)Adam C. Gower (4 shared papers)Liron Pantanowitz (2 shared papers)Sang Jin Lee (2 shared papers)Douglas J. Hartman (2 shared papers)
- Journals
- Diagnostic Pathology (2 papers)PLoS ONE (2 papers)PLoS Pathogens (2 papers)EBioMedicine (2 papers)Clinical Chemistry (1 paper)
- Partner nations
- United StatesHong KongSingapore
In The Last Decade
Thomas E. Tavolara
36 papers receiving 360 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 26
- Radiology, Nuclear Medicine and Imaging 113
- Anesthesiology and Pain Medicine 23
- Biophysics 26
- Artificial Intelligence 144
Countries citing papers authored by Thomas E. Tavolara
This map shows the geographic impact of Thomas E. Tavolara'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 E. Tavolara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Tavolara more than expected).
Fields of papers citing papers by Thomas E. Tavolara
This network shows the impact of papers produced by Thomas E. Tavolara. 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 E. Tavolara. The network helps show where Thomas E. Tavolara may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas E. Tavolara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 50 | |
| 2 | 2018 | 37 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2022 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2021 | 4 |
About Thomas E. Tavolara
Thomas E. Tavolara is a scholar working on Artificial Intelligence, Oncology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 38 papers that have together received 370 indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Colorectal Cancer Screening and Detection (8 papers), Digital Imaging for Blood Diseases (5 papers), Tuberculosis Research and Epidemiology (5 papers), Cell Image Analysis Techniques (4 papers), Cancer Genomics and Diagnostics (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Anesthesiology and Pain Medicine (23 citations), Biophysics (26 citations) and Artificial Intelligence (144 citations). Thomas E. Tavolara has collaborated with scholars based in United States, Hong Kong and Singapore. Frequent co-authors include Metin N. Gürcan, Muhammad Khalid Khan Niazi, Gillian Beamer, Scott Segal, Adam C. Gower, Liron Pantanowitz, Sang Jin Lee, Douglas J. Hartman, Daniel M. Gatti and Wendy L. Frankel. Their work appears in journals such as Diagnostic Pathology, PLoS ONE, PLoS Pathogens, EBioMedicine and Clinical Chemistry.
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.