Tom Nelson
Impact in
- Anesthesiology and Pain Medicine top 10%
- Pain Management and Opioid Use
- Anesthesia and Sedative Agents
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- Pediatric Pain Management Techniques
- Pharmaceutical studies and practices
Papers in
-
- Cardiac Valve Diseases and Treatments 3
- Cardiac electrophysiology and arrhythmias 2
- Cardiac Arrhythmias and Treatments 1
- Surgery 3
- Hemodynamic Monitoring and Therapy 1
- Co-authors
- Michelle L. Czarnecki (1 shared paper)J. Channing Tassone (1 shared paper)Roger Lyon (1 shared paper)Steven J. Weisman (1 shared paper)Lynn M. Rusy (1 shared paper)Keri R. Hainsworth (1 shared paper)John Thometz (1 shared paper)Richard J. Berens (1 shared paper)
- Journals
- Computerized Medical Imaging and Graphics (2 papers)Artificial Intelligence in Medicine (1 paper)The Journal of Pediatrics (1 paper)Anesthesia & Analgesia (1 paper)American Journal of Health-System Pharmacy (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tom Nelson
9 papers receiving 223 citations
Peers
Comparison fields: 5 of 60
- Anesthesiology and Pain Medicine 55
- Pediatrics, Perinatology and Child Health 78
- Cardiology and Cardiovascular Medicine 76
- Surgery 132
- Emergency Medical Services 16
Countries citing papers authored by Tom Nelson
This map shows the geographic impact of Tom Nelson'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 Tom Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Nelson more than expected).
Fields of papers citing papers by Tom Nelson
This network shows the impact of papers produced by Tom Nelson. 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 Tom Nelson. The network helps show where Tom Nelson may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Nelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 127 | |
| 2 | 2019 | 20 | |
| 3 | 2006 | 19 | |
| 4 | 1998 | 16 | |
| 5 | 2001 | 15 | |
| 6 | 2016 | 12 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2022 | 4 |
About Tom Nelson
Tom Nelson is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 230 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiac Imaging and Diagnostics (2 papers), Pharmaceutical studies and practices (2 papers), Medical Image Segmentation Techniques (2 papers), COVID-19 diagnosis using AI (1 paper), Cardiac Arrhythmias and Treatments (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (55 citations), Pediatrics, Perinatology and Child Health (78 citations), Cardiology and Cardiovascular Medicine (76 citations), Surgery (132 citations) and Emergency Medical Services (16 citations). Tom Nelson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Michelle L. Czarnecki, J. Channing Tassone, Roger Lyon, Steven J. Weisman, Lynn M. Rusy, Keri R. Hainsworth, John Thometz, Richard J. Berens, Pankaj Garg and Richard H. Clayton. Their work appears in journals such as Computerized Medical Imaging and Graphics, Artificial Intelligence in Medicine, The Journal of Pediatrics, Anesthesia & Analgesia and American Journal of Health-System Pharmacy.
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.