Florent Tixier
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- Radiomics and Machine Learning in Medical Imaging 47
- Medical Imaging Techniques and Applications 25
- MRI in cancer diagnosis 9
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- Lung Cancer Diagnosis and Treatment 7
- Otorhinolaryngology top 5%
- Health Informatics top 5%
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 9
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- Advanced X-ray and CT Imaging 8
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- AI in cancer detection 7
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- Glioma Diagnosis and Treatment 5
- Co-authors
- Dimitris VisvikisMathieu HattCatherine Cheze Le RestOlivier PradierLaurent CorcosN. AlbarghachJean‐Philippe MetgesPaul E. Kinahan
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineOtorhinolaryngology
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Florent Tixier
51 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 2.7k
- Pulmonary and Respiratory Medicine 908
- Otorhinolaryngology 93
- Health Informatics 27
- Oncology 548
Countries citing papers authored by Florent Tixier
This map shows the geographic impact of Florent Tixier'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 Florent Tixier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florent Tixier more than expected).
Fields of papers citing papers by Florent Tixier
This network shows the impact of papers produced by Florent Tixier. 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 Florent Tixier. The network helps show where Florent Tixier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Florent Tixier, 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 | 2026 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 9 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 26 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 16 | |
| 15 | 2019 | 84 | |
| 16 | 2019 | 5 | |
| 17 | 2016 | 92 | |
| 18 | Characterization of PET/CT images using texture analysis: the past, the present… any future?breakdown → | 2016 | 353 |
| 19 | Impact of Optimal Respiratory Gated Positron Emission Tomography on Characterisation of Intra-Tumour Heterogeneity in Lung Cancer Patients | 2015 | 1 |
| 20 | Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancerbreakdown → | 2011 | 574 |
About Florent Tixier
Florent Tixier is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Structural Biology, having authored 56 papers that have together received 3.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (47 papers), Medical Imaging Techniques and Applications (25 papers), MRI in cancer diagnosis (9 papers), Pancreatic and Hepatic Oncology Research (9 papers), Advanced X-ray and CT Imaging (8 papers), AI in cancer detection (7 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.7k citations), Pulmonary and Respiratory Medicine (908 citations) and Otorhinolaryngology (93 citations). Florent Tixier has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Dimitris Visvikis, Mathieu Hatt, Catherine Cheze Le Rest, Olivier Pradier, Laurent Corcos, N. Albarghach, Jean‐Philippe Metges, Paul E. Kinahan, Larry A. Pierce and R. Perdrisot.
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.