Marc Kohli
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 1%
- Health Informatics top 0.05%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- J. Raymond GeisSameer AntaniLuciano M. PrevedelloGeorge R. ThomaClement J. McDonaldSonya E. ShooshanDina Demner‐FushmanMarc B. Rosenman
- Topics
- Radiology practices and education (26 papers)Artificial Intelligence in Healthcare and Education (24 papers)Radiomics and Machine Learning in Medical Imaging (19 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaRadiology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Marc Kohli
63 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Radiology, Nuclear Medicine and Imaging 1.7k
- Artificial Intelligence 986
- Health Informatics 832
- Biomedical Engineering 433
- Computer Vision and Pattern Recognition 424
Countries citing papers authored by Marc Kohli
This map shows the geographic impact of Marc Kohli'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 Marc Kohli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Kohli more than expected).
Fields of papers citing papers by Marc Kohli
This network shows the impact of papers produced by Marc Kohli. 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 Marc Kohli. The network helps show where Marc Kohli may publish in the future.
Co-authorship network of co-authors of Marc Kohli
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Kohli. A scholar is included among the top collaborators of Marc Kohli 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 Marc Kohli. Marc Kohli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 17 | |
| 9 | 181 | |
| 10 | 12 | |
| 11 | 206 | |
| 12 | 107 | |
| 13 | 283 | |
| 14 | 29 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 23 | |
| 20 | 13 |
About Marc Kohli
Marc Kohli is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 68 papers that have together received 3.1k indexed citations. Recurring topics across this work include Radiology practices and education (26 papers), Artificial Intelligence in Healthcare and Education (24 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). The work is most often cited by research in Health Informatics (832 citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Artificial Intelligence (986 citations). Marc Kohli has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include J. Raymond Geis, Sameer Antani, Luciano M. Prevedello, George R. Thoma, Clement J. McDonald, Sonya E. Shooshan, Dina Demner‐Fushman, Marc B. Rosenman, Laritza Rodriguez and Ross W. Filice. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.
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.