Caleb Richter
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- COVID-19 diagnosis using AI 3
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- AI in cancer detection 7
- Co-authors
- Ravi K. Samala (9 shared papers)Lubomir M. Hadjiiski (9 shared papers)Heang‐Ping Chan (9 shared papers)Mark A. Helvie (6 shared papers)H. Kenny (7 shared papers)Ajjai Alva (1 shared paper)Alon Z. Weizer (1 shared paper)Elaine M. Caoili (1 shared paper)
- Journals
- Physics in Medicine and Biology (3 papers)IEEE Transactions on Medical Imaging (1 paper)Tomography (1 paper)
- Partner nations
- United States
In The Last Decade
Caleb Richter
9 papers receiving 480 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 22
- Radiology, Nuclear Medicine and Imaging 334
- Artificial Intelligence 356
- Neurology 61
- Computer Vision and Pattern Recognition 98
Countries citing papers authored by Caleb Richter
This map shows the geographic impact of Caleb Richter'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 Caleb Richter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caleb Richter more than expected).
Fields of papers citing papers by Caleb Richter
This network shows the impact of papers produced by Caleb Richter. 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 Caleb Richter. The network helps show where Caleb Richter may publish in the future.
Co-authors
The 13 scholars most cited alongside Caleb Richter, 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 | 2018 | 172 | |
| 2 | 2017 | 156 | |
| 3 | 2018 | 76 | |
| 4 | 2019 | 48 | |
| 5 | 2020 | 29 | |
| 6 | 2018 | 11 | |
| 7 | 2019 | 3 | |
| 8 | 2018 | 2 | |
| 9 | 2018 | 1 |
About Caleb Richter
Caleb Richter is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Surgery and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 498 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers), COVID-19 diagnosis using AI (3 papers), Digital Radiography and Breast Imaging (3 papers), Bladder and Urothelial Cancer Treatments (1 paper), Digital Imaging for Blood Diseases (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Prostate Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (334 citations), Artificial Intelligence (356 citations), Neurology (61 citations) and Computer Vision and Pattern Recognition (98 citations). Caleb Richter has collaborated with scholars based in United States. Frequent co-authors include Ravi K. Samala, Lubomir M. Hadjiiski, Heang‐Ping Chan, Mark A. Helvie, H. Kenny, Ajjai Alva, Alon Z. Weizer, Elaine M. Caoili, Chintana Paramagul and Eric Q. Wu. Their work appears in journals such as Physics in Medicine and Biology, IEEE Transactions on Medical Imaging and Tomography.
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.