Caleb Richter
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Health Informatics top 10%
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)Heang‐Ping Chan (9 shared papers)Lubomir M. Hadjiiski (9 shared papers)Mark A. Helvie (6 shared papers)Richard H. Cohan (1 shared paper)Elaine M. Caoili (1 shared paper)Eric Q. Wu (1 shared paper)Chintana Paramagul (1 shared paper)
- Journals
- Physics in Medicine and Biology (3 papers)Tomography (1 paper)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- United States
In The Last Decade
Caleb Richter
9 papers receiving 488 citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 298
- Health Informatics 18
- Artificial Intelligence 335
- Neurology 58
- Computer Vision and Pattern Recognition 96
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 12 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 | 175 | |
| 2 | 2017 | 158 | |
| 3 | 2018 | 77 | |
| 4 | 2019 | 49 | |
| 5 | 2020 | 30 | |
| 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 506 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers), Digital Radiography and Breast Imaging (3 papers), COVID-19 diagnosis using AI (3 papers), Digital Imaging for Blood Diseases (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper), Brain Tumor Detection and Classification (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (298 citations), Health Informatics (18 citations), Artificial Intelligence (335 citations), Neurology (58 citations) and Computer Vision and Pattern Recognition (96 citations). Caleb Richter has collaborated with scholars based in United States. Frequent co-authors include Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Richard H. Cohan, Elaine M. Caoili, Eric Q. Wu, Chintana Paramagul, Alon Z. Weizer and Ajjai Alva. Their work appears in journals such as Physics in Medicine and Biology, Tomography and IEEE Transactions on Medical Imaging.
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.