Scott Pohlman
Impact in
- Obstetrics and Gynecology top 10%
- Uterine Myomas and Treatments
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Digital Radiography and Breast Imaging 7
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- MRI in cancer diagnosis 3
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Sharon Grundfest‐Broniatowski (2 shared papers)William A. Chilcote (2 shared papers)Nancy A. Obuchowski (2 shared papers)Kimerly Powell (2 shared papers)Machaon Bonafede (6 shared papers)Benison Lau (3 shared papers)Jan Willem Dankbaar (3 shared papers)Thomas Schneider (3 shared papers)
- Journals
- Population Health Management (2 papers)Journal of the American College of Radiology (2 papers)Value in Health (2 papers)Cerebrovascular Diseases (1 paper)Radiology (1 paper)
- Partner nations
- United StatesNetherlandsFinland
In The Last Decade
Scott Pohlman
21 papers receiving 392 citations
Peers
Comparison fields: 5 of 71
- Obstetrics and Gynecology 35
- Radiology, Nuclear Medicine and Imaging 87
- Artificial Intelligence 106
- Oncology 68
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by Scott Pohlman
This map shows the geographic impact of Scott Pohlman'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 Scott Pohlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Pohlman more than expected).
Fields of papers citing papers by Scott Pohlman
This network shows the impact of papers produced by Scott Pohlman. 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 Scott Pohlman. The network helps show where Scott Pohlman may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Pohlman, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 121 | |
| 2 | 2008 | 52 | |
| 3 | 2019 | 37 | |
| 4 | 2021 | 31 | |
| 5 | 2009 | 27 | |
| 6 | 2018 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2023 | 21 | |
| 9 | 1999 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2008 | 12 | |
| 12 | 1988 | 12 | |
| 13 | 2018 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2002 | 3 | |
| 16 | 2004 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 1996 | 1 |
About Scott Pohlman
Scott Pohlman is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence and Obstetrics and Gynecology, having authored 26 papers that have together received 413 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (7 papers), Global Cancer Incidence and Screening (5 papers), Endometriosis Research and Treatment (4 papers), Uterine Myomas and Treatments (4 papers), AI in cancer detection (4 papers), MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Obstetrics and Gynecology (35 citations), Radiology, Nuclear Medicine and Imaging (87 citations), Artificial Intelligence (106 citations), Oncology (68 citations) and Computer Vision and Pattern Recognition (59 citations). Scott Pohlman has collaborated with scholars based in United States, Netherlands and Finland. Frequent co-authors include Sharon Grundfest‐Broniatowski, William A. Chilcote, Nancy A. Obuchowski, Kimerly Powell, Machaon Bonafede, Benison Lau, Jan Willem Dankbaar, Thomas Schneider, Sunny Virmani and Max Wintermark. Their work appears in journals such as Population Health Management, Journal of the American College of Radiology, Value in Health, Cerebrovascular Diseases and Radiology.
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.