M Jermoumi
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Health Informatics top 10%
Papers in
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- Advanced Radiotherapy Techniques 6
- Radiation Detection and Scintillator Technologies 2
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- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 2
- Co-authors
- Hugo J.W.L. Aerts (3 shared papers)Chintan Parmar (3 shared papers)Raymond H. Mak (2 shared papers)Emmanuel Rios Velazquez (2 shared papers)Philippe Lambin (2 shared papers)Ron Kikinis (1 shared paper)Sushmita Mitra (1 shared paper)Ralph T. H. Leijenaar (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (2 papers)Medical Physics (2 papers)Scientific Reports (1 paper)Physica Medica (1 paper)Journal of Applied Clinical Medical Physics (1 paper)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
M Jermoumi
9 papers receiving 660 citations
M Jermoumi's Hit Papers
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 586
- Health Informatics 16
- Pulmonary and Respiratory Medicine 241
- Radiation 47
- Biomedical Engineering 228
Countries citing papers authored by M Jermoumi
This map shows the geographic impact of M Jermoumi'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 M Jermoumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Jermoumi more than expected).
Fields of papers citing papers by M Jermoumi
This network shows the impact of papers produced by M Jermoumi. 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 M Jermoumi. The network helps show where M Jermoumi may publish in the future.
Co-authors
The 25 scholars most cited alongside M Jermoumi, 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 | Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation Hit paper breakdown → | 2014 | 468 |
| 2 | 2013 | 168 | |
| 3 | 2015 | 21 | |
| 4 | 2017 | 5 | |
| 5 | 2014 | 2 | |
| 6 | 2015 | 1 | |
| 7 | 2016 | 1 | |
| 8 | 2018 | 1 | |
| 9 | 2016 | 1 |
About M Jermoumi
M Jermoumi is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 668 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced X-ray and CT Imaging (3 papers), Radiation Detection and Scintillator Technologies (2 papers), Medical Imaging Techniques and Applications (2 papers), Radiation Therapy and Dosimetry (2 papers), AI in cancer detection (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (586 citations), Health Informatics (16 citations), Pulmonary and Respiratory Medicine (241 citations), Radiation (47 citations) and Biomedical Engineering (228 citations). M Jermoumi has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Hugo J.W.L. Aerts, Chintan Parmar, Raymond H. Mak, Emmanuel Rios Velazquez, Philippe Lambin, Ron Kikinis, Sushmita Mitra, Ralph T. H. Leijenaar, B. Uma Shankar and Benjamin Haibe‐Kains. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Scientific Reports, Physica Medica and Journal of Applied Clinical Medical Physics.
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.