Mark Kohn
Impact in
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
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- Medical Imaging Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 2
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- Image Retrieval and Classification Techniques 1
- Co-authors
- Ruben C. Gur (3 shared papers)Susan M. Resnick (3 shared papers)P. David Mozley (3 shared papers)Nipul Tanna (2 shared papers)R A Zimmerman (2 shared papers)Gábor T. Herman (3 shared papers)Robert L. Grossman (2 shared papers)Robert A. Zimmerman (1 shared paper)
- Journals
- Radiology (2 papers)Schizophrenia Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Skeletal Radiology (1 paper)University of Massachusetts (UMass) Chan Medical School (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Mark Kohn
7 papers receiving 743 citations
Peers
Comparison fields: 5 of 96
- Radiology, Nuclear Medicine and Imaging 353
- Cognitive Neuroscience 271
- Psychiatry and Mental health 179
- Neurology 73
- Computer Vision and Pattern Recognition 117
Countries citing papers authored by Mark Kohn
This map shows the geographic impact of Mark Kohn'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 Mark Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kohn more than expected).
Fields of papers citing papers by Mark Kohn
This network shows the impact of papers produced by Mark Kohn. 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 Mark Kohn. The network helps show where Mark Kohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Kohn, 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 | 1991 | 368 | |
| 2 | 1991 | 228 | |
| 3 | 1991 | 113 | |
| 4 | 2006 | 30 | |
| 5 | 1994 | 25 | |
| 6 | 2011 | 5 | |
| 7 | 2003 | 2 | |
| 8 | 2020 | 0 |
About Mark Kohn
Mark Kohn is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Surgery and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 771 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Orthopedic Surgery and Rehabilitation (1 paper), Atrial Fibrillation Management and Outcomes (1 paper), Craniofacial Disorders and Treatments (1 paper), Image Retrieval and Classification Techniques (1 paper), AI in cancer detection (1 paper) and Schizophrenia research and treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (353 citations), Cognitive Neuroscience (271 citations), Psychiatry and Mental health (179 citations), Neurology (73 citations) and Computer Vision and Pattern Recognition (117 citations). Mark Kohn has collaborated with scholars based in United States and Japan. Frequent co-authors include Ruben C. Gur, Susan M. Resnick, P. David Mozley, Nipul Tanna, R A Zimmerman, Gábor T. Herman, Robert L. Grossman, Robert A. Zimmerman, Gary Gottlieb and Susan J. Atlas. Their work appears in journals such as Radiology, Schizophrenia Research, Proceedings of the National Academy of Sciences, Skeletal Radiology and University of Massachusetts (UMass) Chan Medical School.
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.