Jean Cormack

1.7k citations
23 papers · 1.2k · h-index 12

Impact in

Papers in

Jean Cormack

23 papers receiving 1.1k citations

Peers

Jean Cormack
Comparison fields: 5 of 86
  • Radiology, Nuclear Medicine and Imaging 513
  • Pathology and Forensic Medicine 288
  • Pulmonary and Respiratory Medicine 500
  • Cancer Research 188
  • Artificial Intelligence 337
Replace Massimo Calabrese with:
Massimo Calabrese Italy
Daniel Appelbaum United States
Tohru Ohtake Japan
Vivian Youngjean Park South Korea
Musib Siddique United Kingdom
Xinming Zhao China
Yang Hou China
Hideyuki Hashimoto Japan
Olorunsola F. Agbaje United Kingdom
Angela Spanu Italy
Jean Cormack relative to Massimo Calabrese Italy Massimo Calabrese's profile →
Citations per field
00.5×1.5×
Massimo Calabrese · 1×
Citations per year

Countries citing papers authored by Jean Cormack

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Jean Cormack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jean Cormack Line = papers co-authored together Jean Cormack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008324
2 2006168
3 2009163
4 2017124
5 201366
6 201555
7 201253
8 200750
9 201343
10 200641
11 201735
12 198313
13 198811
14 200810
15 202110
16 20145
17 20163
18 20133
19 19803
20 20241

About Jean Cormack

Jean Cormack is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Artificial Intelligence, Pulmonary and Respiratory Medicine and Cancer Research, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Breast Lesions and Carcinomas (6 papers), Breast Cancer Treatment Studies (4 papers), MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (3 papers), Digital Radiography and Breast Imaging (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (513 citations), Pathology and Forensic Medicine (288 citations), Pulmonary and Respiratory Medicine (500 citations), Cancer Research (188 citations) and Artificial Intelligence (337 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, Zheng Zhang, Ariela R. Orkaby, Murray Rebner and Emily F. Conant. Their work appears in journals such as Radiology, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, American Journal of Roentgenology 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.

Explore authors with similar magnitude of impact