Benjamin Wildman‐Tobriner
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 8
-
- Radiation Dose and Imaging 17
- Radiology practices and education 17
- Radiomics and Machine Learning in Medical Imaging 10
- Developmental Neuroscience top 10%
-
- Thyroid Cancer Diagnosis and Treatment 12
- Neurology top 10%
-
- Advanced X-ray and CT Imaging 11
-
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Liver Disease and Transplantation 5
- Co-authors
- Maciej A. MazurowskiJenny K. HoangMateusz BudaFranklin N. TesslerDavid ThayerWilliam D. MiddletonRaphaël GuzmanGuohua Sun
- Journals
- Abdominal Radiology (8 papers)American Journal of Roentgenology (4 papers)Journal of the American College of Radiology (4 papers)
- Partner nations
- United StatesNorwayRussia
In The Last Decade
Benjamin Wildman‐Tobriner
41 papers receiving 885 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 136
- Radiology, Nuclear Medicine and Imaging 410
- Developmental Neuroscience 70
- Endocrinology, Diabetes and Metabolism 269
- Neurology 118
Countries citing papers authored by Benjamin Wildman‐Tobriner
This map shows the geographic impact of Benjamin Wildman‐Tobriner'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 Benjamin Wildman‐Tobriner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Wildman‐Tobriner more than expected).
Fields of papers citing papers by Benjamin Wildman‐Tobriner
This network shows the impact of papers produced by Benjamin Wildman‐Tobriner. 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 Benjamin Wildman‐Tobriner. The network helps show where Benjamin Wildman‐Tobriner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin Wildman‐Tobriner, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 103 | |
| 14 | 2019 | 152 | |
| 15 | 2019 | 5 | |
| 16 | 2018 | 15 | |
| 17 | 2018 | 60 | |
| 18 | 2018 | 22 | |
| 19 | 2018 | 16 | |
| 20 | 2017 | 22 |
About Benjamin Wildman‐Tobriner
Benjamin Wildman‐Tobriner is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Hepatology, Endocrinology, Diabetes and Metabolism and Critical Care and Intensive Care Medicine, having authored 49 papers that have together received 900 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (17 papers), Radiology practices and education (17 papers), Thyroid Cancer Diagnosis and Treatment (12 papers), Advanced X-ray and CT Imaging (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Artificial Intelligence in Healthcare and Education (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Liver Disease and Transplantation (5 papers). The work is most often cited by research in Health Informatics (136 citations), Radiology, Nuclear Medicine and Imaging (410 citations), Developmental Neuroscience (70 citations), Endocrinology, Diabetes and Metabolism (269 citations) and Neurology (118 citations). Benjamin Wildman‐Tobriner has collaborated with scholars based in United States, Norway and Russia. Frequent co-authors include Maciej A. Mazurowski, Jenny K. Hoang, Mateusz Buda, Franklin N. Tessler, David Thayer, William D. Middleton, Raphaël Guzman, Guohua Sun, Çağla Eroğlu and Stanley Hoang. Their work appears in journals such as Abdominal Radiology, American Journal of Roentgenology, Journal of the American College of Radiology, Academic Radiology and Annals of Surgical Oncology.
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.