Jérôme Thevenot

2.1k citations
52 papers · 1.4k indexed · 2 hit papers · h-index 15

Impact in

Papers in

Jérôme Thevenot

48 papers receiving 1.3k citations

Hit Papers

Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data 2019 · 183 citations
1832018202620202023100200300400

Peers

Jérôme Thevenot
Comparison fields: 5 of 124
  • Health Informatics 76
  • Rheumatology 623
  • Orthopedics and Sports Medicine 283
  • Surgery 514
  • Radiology, Nuclear Medicine and Imaging 250
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Alan Brett United Kingdom
André Ferreira Leite Brazil
Won-Jin Yi South Korea
In Ho Han South Korea
Yoshitaka Kise Japan
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Eugene Lee South Korea
Matthew D. Gardiner United Kingdom
Andreas Schweizer Switzerland
Chan Ho Park South Korea
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Citations per field
00.5×7.6×
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Citations per year

Countries citing papers authored by Jérôme Thevenot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jérôme Thevenot Line = papers co-authored together Jérôme Thevenot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20240
5 202014
6
Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data
Hit paper breakdown →
2019183
7 20197
8 201914
9
Automatic knee osteoarthritis diagnosis from plain radiographs:a deep learning-based approach
Hit paper breakdown →
2018407
10 20183
11 2017112
12 20171
13 201716
14 20175
15 201682
16 20144
17 201424
18 201320
19 201018
20
Eosinophilic meningitis in Tahiti: clinical study of 54 patients.
19786

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.

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