Mathieu Hatt
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Health Informatics top 1%
Papers in ⓘ
-
- Radiomics and Machine Learning in Medical Imaging 132
- Medical Imaging Techniques and Applications 96
- MRI in cancer diagnosis 26
- Radiation 17
- Advanced Radiotherapy Techniques 16
- Co-authors
- Dimitris Visvikis (134 shared papers)Catherine Cheze Le Rest (43 shared papers)Florent Tixier (28 shared papers)Olivier Pradier (39 shared papers)Laurent Corcos (6 shared papers)N. Albarghach (4 shared papers)Ulrike Schick (33 shared papers)Catherine Cheze‐Le Rest (13 shared papers)
In The Last Decade
Mathieu Hatt
160 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Radiology, Nuclear Medicine and Imaging 6.4k
- Health Informatics 113
- Pulmonary and Respiratory Medicine 2.1k
- Radiation 425
- Otorhinolaryngology 211
Countries citing papers authored by Mathieu Hatt
This map shows the geographic impact of Mathieu Hatt'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 Mathieu Hatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Hatt more than expected).
Fields of papers citing papers by Mathieu Hatt
This network shows the impact of papers produced by Mathieu Hatt. 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 Mathieu Hatt. The network helps show where Mathieu Hatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Hatt, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer Hit paper breakdown → | 2011 | 574 |
| 2 | 18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort Hit paper breakdown → | 2014 | 361 |
| 3 | Characterization of PET/CT images using texture analysis: the past, the present… any future? Hit paper breakdown → | 2016 | 353 |
| 4 | 2012 | 264 | |
| 5 | 2009 | 256 | |
| 6 | 2017 | 198 | |
| 7 | 2013 | 179 | |
| 8 | 2021 | 144 | |
| 9 | 2018 | 140 | |
| 10 | 2019 | 137 | |
| 11 | 2010 | 135 | |
| 12 | 2020 | 134 | |
| 13 | 2016 | 132 | |
| 14 | 2017 | 131 | |
| 15 | 2016 | 131 | |
| 16 | 2014 | 124 | |
| 17 | 2011 | 120 | |
| 18 | 2011 | 116 | |
| 19 | 2020 | 104 | |
| 20 | 2010 | 101 |
About Mathieu Hatt
Mathieu Hatt is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Health Informatics, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 163 papers that have together received 7.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (132 papers), Medical Imaging Techniques and Applications (96 papers), Advanced X-ray and CT Imaging (35 papers), Lung Cancer Diagnosis and Treatment (27 papers), MRI in cancer diagnosis (26 papers), Advanced Radiotherapy Techniques (16 papers), AI in cancer detection (14 papers) and Medical Image Segmentation Techniques (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.4k citations), Health Informatics (113 citations), Pulmonary and Respiratory Medicine (2.1k citations), Radiation (425 citations) and Otorhinolaryngology (211 citations). Mathieu Hatt has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Dimitris Visvikis, Catherine Cheze Le Rest, Florent Tixier, Olivier Pradier, Laurent Corcos, N. Albarghach, Ulrike Schick, Catherine Cheze‐Le Rest, Jean‐Philippe Metges and François Lucia. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, Medical Physics, Radiotherapy and Oncology and Scientific Reports.
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.