Translational Innovation in Medicine and Complexity
Impact in
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- Context-Aware Activity Recognition Systems
- Medical Image Segmentation Techniques
Papers in
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- Medical Image Segmentation Techniques 107
- Context-Aware Activity Recognition Systems 60
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- Balance, Gait, and Falls Prevention 64
- Top scholars
- Olivier FrançoisMichaël G. B. BlumJoseph SifakisJacques DemongeotNorbert NouryÉric FrichotPhilippe TracquiNicolas Vuillerme
- Journals
- PLoS ONE (53 papers)Acta Biotheoretica (27 papers)Resuscitation (25 papers)Computer Methods in Biomechanics & Biomedical Engineering (25 papers)Lecture notes in computer science (189 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Translational Innovation in Medicine and Complexity
2.8k papers receiving 69.3k citations
Peers
Comparison fields: 5 of 241
- Computer Graphics and Computer-Aided Design 1.7k
- Computer Vision and Pattern Recognition 8.6k
- Physical Therapy, Sports Therapy and Rehabilitation 1.6k
- Software 1.5k
- Computational Theory and Mathematics 4.8k
Countries citing scholars working at Translational Innovation in Medicine and Complexity
This map shows the geographic impact of research produced by authors working at Translational Innovation in Medicine and Complexity. 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 papers produced at Translational Innovation in Medicine and Complexity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Translational Innovation in Medicine and Complexity more than expected).
Fields of papers published by authors at Translational Innovation in Medicine and Complexity
This network shows the impact of papers affiliated with Translational Innovation in Medicine and Complexity at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Translational Innovation in Medicine and Complexity at the time of their publication.
About Translational Innovation in Medicine and Complexity
In recent decades, authors affiliated with Translational Innovation in Medicine and Complexity have published 3.2k papers, which have received a total of 77.1k indexed citations . Scholars at this organization have produced 353 papers in Computer Vision and Pattern Recognition, 65 papers in Physical Therapy, Sports Therapy and Rehabilitation, 46 papers in Geriatrics and Gerontology, 56 papers in Computer Graphics and Computer-Aided Design and 45 papers in Internal Medicine on the topics of Medical Image Segmentation Techniques (107 papers), Soft Robotics and Applications (76 papers), Formal Methods in Verification (69 papers), Elasticity and Material Modeling (67 papers), Medical Imaging Techniques and Applications (65 papers), Balance, Gait, and Falls Prevention (64 papers), Context-Aware Activity Recognition Systems (60 papers) and Gene Regulatory Network Analysis (58 papers). Their work is cited by papers focused on Computer Graphics and Computer-Aided Design (1.7k citations), Computer Vision and Pattern Recognition (8.6k citations), Physical Therapy, Sports Therapy and Rehabilitation (1.6k citations), Software (1.5k citations) and Computational Theory and Mathematics (4.8k citations). Authors at Translational Innovation in Medicine and Complexity collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including PLoS ONE, Acta Biotheoretica, Resuscitation, Computer Methods in Biomechanics & Biomedical Engineering and Lecture notes in computer science. Some of Translational Innovation in Medicine and Complexity's most productive authors include Olivier François, Michaël G. B. Blum, Joseph Sifakis, Jacques Demongeot, Norbert Noury, Éric Frichot, Philippe Tracqui, Nicolas Vuillerme, Yohan Payan and Philippe Cinquin.
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.