David S. Channin
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Molecular Biology
- Co-authors
- Daniel L. RubinEliot L. SiegelPattanasak MongkolwatDorothy D. DunlopLeena SharmaSeptember CahueJing SongCharles E. Kahn
- Topics
- Radiology practices and education (17 papers)AI in cancer detection (12 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)
- Partner nations
- United StatesThailandPhilippines
In The Last Decade
David S. Channin
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Radiology, Nuclear Medicine and Imaging 504
- Artificial Intelligence 303
- Pulmonary and Respiratory Medicine 241
- Surgery 241
- Molecular Biology 210
Countries citing papers authored by David S. Channin
This map shows the geographic impact of David S. Channin'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 David S. Channin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Channin more than expected).
Fields of papers citing papers by David S. Channin
This network shows the impact of papers produced by David S. Channin. 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 David S. Channin. The network helps show where David S. Channin may publish in the future.
Co-authorship network of co-authors of David S. Channin
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Channin. A scholar is included among the top collaborators of David S. Channin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David S. Channin. David S. Channin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 23 | |
| 3 | 24 | |
| 4 | 85 | |
| 5 | 170 | |
| 6 | Medical Imaging on the Semantic Web: Annotation and Image Markup. | 55 |
| 7 | 17 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 63 | |
| 11 | 20 | |
| 12 | 58 | |
| 13 | 22 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 1 |
About David S. Channin
David S. Channin is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiology practices and education (17 papers), AI in cancer detection (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (504 citations) and Health Information Management (86 citations). David S. Channin has collaborated with scholars based in United States, Thailand and Philippines. Frequent co-authors include Daniel L. Rubin, Eliot L. Siegel, Pattanasak Mongkolwat, Dorothy D. Dunlop, Leena Sharma, September Cahue, Jing Song, Charles E. Kahn, Curtis P. Langlotz and Daniela Raicu. Their work appears in journals such as Radiology, American Journal of Roentgenology and Radiographics.
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.