Jean Cormack
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Co-authors
- Wendie A. BergEllen B. MendelsonJeffrey D. BlumeKelly ChoJane A. DriverDavid GagnonAriela R. OrkabyZheng Zhang
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)AI in cancer detection (6 papers)Breast Lesions and Carcinomas (6 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPathology and Forensic MedicinePulmonary and Respiratory Medicine
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaNeurology
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Jean Cormack
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 513
- Pulmonary and Respiratory Medicine 500
- Artificial Intelligence 337
- Pathology and Forensic Medicine 288
- Oncology 288
Countries citing papers authored by Jean Cormack
This map shows the geographic impact of Jean Cormack'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 Jean Cormack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Cormack more than expected).
Fields of papers citing papers by Jean Cormack
This network shows the impact of papers produced by Jean Cormack. 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 Jean Cormack. The network helps show where Jean Cormack may publish in the future.
Co-authorship network of co-authors of Jean Cormack
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Cormack. A scholar is included among the top collaborators of Jean Cormack 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 Jean Cormack. Jean Cormack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 124 | |
| 5 | 35 | |
| 6 | 3 | |
| 7 | 55 | |
| 8 | 5 | |
| 9 | 43 | |
| 10 | 66 | |
| 11 | 3 | |
| 12 | 163 | |
| 13 | 324 | |
| 14 | 10 | |
| 15 | 50 | |
| 16 | 168 | |
| 17 | 41 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 3 |
About Jean Cormack
Jean Cormack is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (6 papers) and Breast Lesions and Carcinomas (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (513 citations), Pathology and Forensic Medicine (288 citations) and Pulmonary and Respiratory Medicine (500 citations). Jean Cormack has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Wendie A. Berg, Ellen B. Mendelson, Jeffrey D. Blume, Kelly Cho, Jane A. Driver, David Gagnon, Ariela R. Orkaby, Zheng Zhang, Laurie L. Fajardo and R. Edward Hendrick. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Neurology.
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.