Ali Kamen
Impact in
- Health Informatics top 2%
-
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 17
-
- Prostate Cancer Diagnosis and Treatment 10
- Lung Cancer Diagnosis and Treatment 8
- Co-authors
- Dorin Comaniciu (28 shared papers)Tommaso Mansi (15 shared papers)Puneet Sharma (11 shared papers)Lucian Itu (11 shared papers)Bin Lou (12 shared papers)Nassir Navab (14 shared papers)Constantin Suciu (7 shared papers)Parmeshwar Khurd (8 shared papers)
- Journals
- Medical Image Analysis (3 papers)Scientific Reports (2 papers)IEEE Transactions on Medical Imaging (2 papers)Radiology Artificial Intelligence (1 paper)ULTRASONOGRAPHY (1 paper)
- Partner nations
- United StatesGermanyRomania
In The Last Decade
Ali Kamen
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Health Informatics 61
- Radiology, Nuclear Medicine and Imaging 750
- Computer Vision and Pattern Recognition 322
- Cardiology and Cardiovascular Medicine 286
- Pulmonary and Respiratory Medicine 349
Countries citing papers authored by Ali Kamen
This map shows the geographic impact of Ali Kamen'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 Ali Kamen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Kamen more than expected).
Fields of papers citing papers by Ali Kamen
This network shows the impact of papers produced by Ali Kamen. 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 Ali Kamen. The network helps show where Ali Kamen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Kamen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2017 | 122 | |
| 3 | 2021 | 77 | |
| 4 | 2015 | 65 | |
| 5 | 2015 | 64 | |
| 6 | 2010 | 63 | |
| 7 | 2010 | 51 | |
| 8 | 2012 | 51 | |
| 9 | 2012 | 44 | |
| 10 | 2012 | 43 | |
| 11 | 2015 | 38 | |
| 12 | 2014 | 38 | |
| 13 | 2014 | 36 | |
| 14 | 2020 | 35 | |
| 15 | 2012 | 33 | |
| 16 | 2010 | 31 | |
| 17 | 2021 | 31 | |
| 18 | 2022 | 29 | |
| 19 | 2011 | 26 | |
| 20 | 2016 | 24 |
About Ali Kamen
Ali Kamen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (11 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Medical Image Segmentation Techniques (9 papers), Cardiovascular Function and Risk Factors (8 papers), Lung Cancer Diagnosis and Treatment (8 papers), Coronary Interventions and Diagnostics (7 papers) and Advanced Radiotherapy Techniques (7 papers). The work is most often cited by research in Health Informatics (61 citations), Radiology, Nuclear Medicine and Imaging (750 citations), Computer Vision and Pattern Recognition (322 citations), Cardiology and Cardiovascular Medicine (286 citations) and Pulmonary and Respiratory Medicine (349 citations). Ali Kamen has collaborated with scholars based in United States, Germany and Romania. Frequent co-authors include Dorin Comaniciu, Tommaso Mansi, Puneet Sharma, Lucian Itu, Bin Lou, Nassir Navab, Constantin Suciu, Parmeshwar Khurd, Saša Grbić and Rui Liao. Their work appears in journals such as Medical Image Analysis, Scientific Reports, IEEE Transactions on Medical Imaging, Radiology Artificial Intelligence and ULTRASONOGRAPHY.
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.