Thomas M. Ward
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Surgery top 10%
- Surgical Simulation and Training
Papers in
- Surgery 8
- Surgical Simulation and Training 7
- Paraquat toxicity studies and treatments 1
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- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- Daniel A. Hashimoto (10 shared papers)Ozanan R. Meireles (10 shared papers)Guy Rosman (9 shared papers)Yutong Ban (8 shared papers)Nicolas Padoy (4 shared papers)Pietro Mascagni (2 shared papers)Abbey Alkon (1 shared paper)Caryl Gay (1 shared paper)
- Journals
- Surgical Endoscopy (4 papers)Journal of Pediatric Psychology (3 papers)IEEE Robotics and Automation Letters (1 paper)Journal of Surgical Oncology (1 paper)Soil Science Society of America Journal (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Thomas M. Ward
21 papers receiving 645 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 104
- Surgery 279
- Experimental and Cognitive Psychology 86
- Cardiology and Cardiovascular Medicine 51
- Biomedical Engineering 110
Countries citing papers authored by Thomas M. Ward
This map shows the geographic impact of Thomas M. Ward'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. Ward 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. Ward more than expected).
Fields of papers citing papers by Thomas M. Ward
This network shows the impact of papers produced by Thomas M. Ward. 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. Ward. The network helps show where Thomas M. Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas M. Ward, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2007 | 84 | |
| 3 | 2021 | 64 | |
| 4 | 2020 | 58 | |
| 5 | 2021 | 57 | |
| 6 | 2020 | 50 | |
| 7 | 2007 | 43 | |
| 8 | 2021 | 41 | |
| 9 | 2022 | 26 | |
| 10 | 2007 | 21 | |
| 11 | 1968 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 1981 | 6 | |
| 17 | 2002 | 6 | |
| 18 | 1969 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 3 |
About Thomas M. Ward
Thomas M. Ward is a scholar working on Surgery, Health Informatics, Cardiology and Cardiovascular Medicine, Oncology and Biomedical Engineering, having authored 21 papers that have together received 664 indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), Artificial Intelligence in Healthcare and Education (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Digital Imaging in Medicine (2 papers), Paraquat toxicity studies and treatments (1 paper), Anatomy and Medical Technology (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Health Informatics (104 citations), Surgery (279 citations), Experimental and Cognitive Psychology (86 citations), Cardiology and Cardiovascular Medicine (51 citations) and Biomedical Engineering (110 citations). Thomas M. Ward has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Daniel A. Hashimoto, Ozanan R. Meireles, Guy Rosman, Yutong Ban, Nicolas Padoy, Pietro Mascagni, Abbey Alkon, Caryl Gay, Thomas F. Anders and Amin Madani. Their work appears in journals such as Surgical Endoscopy, Journal of Pediatric Psychology, IEEE Robotics and Automation Letters, Journal of Surgical Oncology and Soil Science Society of America Journal.
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.