Ran Godrich
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- AI in cancer detection 4
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- David S. Klimstra (2 shared papers)Jillian Sue (3 shared papers)Victor E. Reuter (2 shared papers)Jeremy D. Kunz (3 shared papers)Patricia Raciti (5 shared papers)Christopher Kanan (5 shared papers)Thomas J. Fuchs (1 shared paper)Leo Grady (3 shared papers)
- Journals
- Cancer Research (2 papers)Archives of Pathology & Laboratory Medicine (1 paper)Journal of Clinical Oncology (1 paper)Modern Pathology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ran Godrich
4 papers receiving 179 citations
Peers
Comparison fields: 5 of 36
- Health Informatics 38
- Radiology, Nuclear Medicine and Imaging 103
- Artificial Intelligence 132
- Pulmonary and Respiratory Medicine 67
- Biophysics 7
Countries citing papers authored by Ran Godrich
This map shows the geographic impact of Ran Godrich'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 Ran Godrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Godrich more than expected).
Fields of papers citing papers by Ran Godrich
This network shows the impact of papers produced by Ran Godrich. 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 Ran Godrich. The network helps show where Ran Godrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Godrich, 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 | 2020 | 121 | |
| 2 | 2022 | 54 | |
| 3 | 2020 | 4 | |
| 4 | 2021 | 1 | |
| 5 | 2022 | 0 |
About Ran Godrich
Ran Godrich is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Epidemiology, having authored 5 papers that have together received 180 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Breast Lesions and Carcinomas (1 paper) and Cervical Cancer and HPV Research (1 paper). The work is most often cited by research in Health Informatics (38 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Artificial Intelligence (132 citations), Pulmonary and Respiratory Medicine (67 citations) and Biophysics (7 citations). Ran Godrich has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David S. Klimstra, Jillian Sue, Victor E. Reuter, Jeremy D. Kunz, Patricia Raciti, Christopher Kanan, Thomas J. Fuchs, Leo Grady, Julian Viret and Brandon Rothrock. Their work appears in journals such as Cancer Research, Archives of Pathology & Laboratory Medicine, Journal of Clinical Oncology and Modern Pathology.
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.