Jérôme Thevenot
Impact in
- Health Informatics top 2%
- Rheumatology top 1%
- Osteoarthritis Treatment and Mechanisms
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Bone health and osteoporosis research 11
- Bone and Joint Diseases 7
- Rheumatology 24
- Osteoarthritis Treatment and Mechanisms 23
- Rheumatoid Arthritis Research and Therapies 5
- Co-authors
- Simo SaarakkalaAleksei TiulpinPetri LehenkariEsa RahtuTimo JämsäMiguel Bordallo LópezAbdenour HadidPasi Pulkkinen
In The Last Decade
Jérôme Thevenot
48 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Health Informatics 76
- Rheumatology 623
- Orthopedics and Sports Medicine 283
- Surgery 514
- Radiology, Nuclear Medicine and Imaging 250
Countries citing papers authored by Jérôme Thevenot
This map shows the geographic impact of Jérôme Thevenot'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 Jérôme Thevenot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Thevenot more than expected).
Fields of papers citing papers by Jérôme Thevenot
This network shows the impact of papers produced by Jérôme Thevenot. 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 Jérôme Thevenot. The network helps show where Jérôme Thevenot may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Thevenot, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2020 | 14 | |
| 6 | Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data Hit paper breakdown → | 2019 | 183 |
| 7 | 2019 | 7 | |
| 8 | 2019 | 14 | |
| 9 | Automatic knee osteoarthritis diagnosis from plain radiographs:a deep learning-based approach Hit paper breakdown → | 2018 | 407 |
| 10 | 2018 | 3 | |
| 11 | 2017 | 112 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 16 | |
| 14 | 2017 | 5 | |
| 15 | 2016 | 82 | |
| 16 | 2014 | 4 | |
| 17 | 2014 | 24 | |
| 18 | 2013 | 20 | |
| 19 | 2010 | 18 | |
| 20 | Eosinophilic meningitis in Tahiti: clinical study of 54 patients. | 1978 | 6 |
About Jérôme Thevenot
Jérôme Thevenot is a scholar working on Orthopedics and Sports Medicine, Rheumatology, Equine, General Dentistry and Complementary and Manual Therapy, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (23 papers), Bone health and osteoporosis research (11 papers), Hip disorders and treatments (10 papers), Hip and Femur Fractures (7 papers), Bone and Joint Diseases (7 papers), Infrared Thermography in Medicine (5 papers), Total Knee Arthroplasty Outcomes (5 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). The work is most often cited by research in Health Informatics (76 citations), Rheumatology (623 citations), Orthopedics and Sports Medicine (283 citations), Surgery (514 citations) and Radiology, Nuclear Medicine and Imaging (250 citations). Jérôme Thevenot has collaborated with scholars based in Finland, Germany and Austria. Frequent co-authors include Simo Saarakkala, Aleksei Tiulpin, Petri Lehenkari, Esa Rahtu, Timo Jämsä, Miguel Bordallo López, Abdenour Hadid, Pasi Pulkkinen, F. Eckstein and Volker Kühn. Their work appears in journals such as Osteoarthritis and Cartilage, Annals of Biomedical Engineering, IEEE Journal of Biomedical and Health Informatics, Bone and Equine Veterinary 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.