Travis Browning
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Radiology practices and education 10
- Radiation Dose and Imaging 8
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- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- David T. Fetzer (5 shared papers)Adam C. Yopp (6 shared papers)Neehar D. Parikh (4 shared papers)Jorge A. Marrero (3 shared papers)Takeshi Yokoo (2 shared papers)Yuko Kono (1 shared paper)Okeefe L. Simmons (1 shared paper)Yin Xi (7 shared papers)
- Journals
- Journal of the American College of Radiology (5 papers)Journal of Digital Imaging (4 papers)Journal of the National Comprehensive Cancer Network (3 papers)Clinical Lung Cancer (3 papers)Radiology Artificial Intelligence (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Travis Browning
38 papers receiving 657 citations
Peers
Comparison fields: 5 of 71
- Hepatology 231
- Health Informatics 42
- Internal Medicine 27
- Radiology, Nuclear Medicine and Imaging 175
- Epidemiology 176
Countries citing papers authored by Travis Browning
This map shows the geographic impact of Travis Browning'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 Travis Browning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Browning more than expected).
Fields of papers citing papers by Travis Browning
This network shows the impact of papers produced by Travis Browning. 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 Travis Browning. The network helps show where Travis Browning may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Browning, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 251 | |
| 2 | 2020 | 65 | |
| 3 | 2015 | 58 | |
| 4 | 2019 | 28 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 1985 | 20 | |
| 9 | 2016 | 18 | |
| 10 | A machine learning approach for identifying anatomical locations of actionable findings in radiology reports. | 2012 | 18 |
| 11 | 2019 | 15 | |
| 12 | Extracting actionable findings of appendicitis from radiology reports using natural language processing. | 2013 | 14 |
| 13 | 2022 | 12 | |
| 14 | 2014 | 11 | |
| 15 | 2019 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2016 | 5 |
About Travis Browning
Travis Browning is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Oncology and Hepatology, having authored 39 papers that have together received 673 indexed citations. Recurring topics across this work include Radiology practices and education (10 papers), Radiation Dose and Imaging (8 papers), Lung Cancer Diagnosis and Treatment (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Advanced X-ray and CT Imaging (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Urological Disorders and Treatments (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Hepatology (231 citations), Health Informatics (42 citations), Internal Medicine (27 citations), Radiology, Nuclear Medicine and Imaging (175 citations) and Epidemiology (176 citations). Travis Browning has collaborated with scholars based in United States and China. Frequent co-authors include David T. Fetzer, Adam C. Yopp, Neehar D. Parikh, Jorge A. Marrero, Takeshi Yokoo, Yuko Kono, Okeefe L. Simmons, Yin Xi, Ronald M. Peshock and Michael Richter. Their work appears in journals such as Journal of the American College of Radiology, Journal of Digital Imaging, Journal of the National Comprehensive Cancer Network, Clinical Lung Cancer and Radiology Artificial Intelligence.
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.