Michael B. Gotway
Impact in
- Internal Medicine top 1%
- Venous Thromboembolism Diagnosis and Management
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Venous Thromboembolism Diagnosis and Management 19
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- Ultrasound in Clinical Applications 16
- Co-authors
- Jianming LiangJ. ShinSuryakanth GuruduNima TajbakhshR. Todd HurstChristopher B. KendallGautham P. ReddyZongwei Zhou
- Journals
- American Journal of Roentgenology (11 papers)Radiology (8 papers)Medical Image Analysis (7 papers)Journal of Thoracic Imaging (7 papers)Radiographics (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael B. Gotway
136 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Internal Medicine 449
- Radiology, Nuclear Medicine and Imaging 2.1k
- Critical Care and Intensive Care Medicine 370
- Health Informatics 88
- Pulmonary and Respiratory Medicine 1.8k
Countries citing papers authored by Michael B. Gotway
This map shows the geographic impact of Michael B. Gotway'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 Michael B. Gotway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. Gotway more than expected).
Fields of papers citing papers by Michael B. Gotway
This network shows the impact of papers produced by Michael B. Gotway. 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 Michael B. Gotway. The network helps show where Michael B. Gotway may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael B. Gotway, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 9 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 44 | |
| 12 | Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Hit paper breakdown → | 2016 | 2079 |
| 13 | 2014 | 8 | |
| 14 | 2010 | 9 | |
| 15 | 2005 | 61 | |
| 16 | 2004 | 31 | |
| 17 | 2002 | 12 | |
| 18 | Helical CT evaluation of the thoracic aorta | 2000 | 8 |
| 19 | Interstitial lung diseases: Imaging evaluation | 2000 | 2 |
| 20 | 2000 | 90 |
About Michael B. Gotway
Michael B. Gotway is a scholar working on Internal Medicine, Critical Care and Intensive Care Medicine, Microbiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 144 papers that have together received 6.8k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (21 papers), Venous Thromboembolism Diagnosis and Management (19 papers), COVID-19 diagnosis using AI (18 papers), Ultrasound in Clinical Applications (16 papers), Medical Imaging and Pathology Studies (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Lung Cancer Diagnosis and Treatment (13 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Internal Medicine (449 citations), Radiology, Nuclear Medicine and Imaging (2.1k citations), Critical Care and Intensive Care Medicine (370 citations), Health Informatics (88 citations) and Pulmonary and Respiratory Medicine (1.8k citations). Michael B. Gotway has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jianming Liang, J. Shin, Suryakanth Gurudu, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Gautham P. Reddy, Zongwei Zhou, W. Richard Webb and Charles B. Higgins. Their work appears in journals such as American Journal of Roentgenology, Radiology, Medical Image Analysis, Journal of Thoracic Imaging and Radiographics.
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.