T. Benoit
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
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- Lung Cancer Diagnosis and Treatment
- Medical Imaging and Pathology Studies
- Lung Cancer Treatments and Mutations
Papers in ⓘ
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- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 2
- Cardiac Imaging and Diagnostics 2
- Advanced MRI Techniques and Applications 1
- MRI in cancer diagnosis 1
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- Medical Imaging and Pathology Studies 2
- Lung Cancer Diagnosis and Treatment 1
- Co-authors
- Patrick Paulus (2 shared papers)Thierry Bury (2 shared papers)P. Rigo (2 shared papers)R. Hustinx (1 shared paper)G. Jerusalem (1 shared paper)Jacqueline Foidart-Willems (1 shared paper)Bruno Kaschten (1 shared paper)Afshin Dowlati (1 shared paper)
In The Last Decade
T. Benoit
5 papers receiving 522 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 347
- Pulmonary and Respiratory Medicine 234
- Cancer Research 82
- Hepatology 37
- Otorhinolaryngology 18
Countries citing papers authored by T. Benoit
This map shows the geographic impact of T. Benoit'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 T. Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Benoit more than expected).
Fields of papers citing papers by T. Benoit
This network shows the impact of papers produced by T. Benoit. 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 T. Benoit. The network helps show where T. Benoit may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Benoit, 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 | 1996 | 394 | |
| 2 | 1996 | 131 | |
| 3 | 1997 | 11 | |
| 4 | 1996 | 6 | |
| 5 | Clinical value of whole body-body PET-FDG in the detection of liver metastases: preliminary results. | 1996 | 1 |
About T. Benoit
T. Benoit is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Infectious Diseases, having authored 5 papers that have together received 543 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging and Pathology Studies (2 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Advanced MRI Techniques and Applications (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (347 citations), Pulmonary and Respiratory Medicine (234 citations), Cancer Research (82 citations), Hepatology (37 citations) and Otorhinolaryngology (18 citations). T. Benoit has collaborated with scholars based in Belgium and France. Frequent co-authors include Patrick Paulus, Thierry Bury, P. Rigo, R. Hustinx, G. Jerusalem, Jacqueline Foidart-Willems, Bruno Kaschten, Afshin Dowlati, Corhay Jl and R Limet. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, European Respiratory Journal and European Heart Journal.
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.