Didier Devaurs
Impact in
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- Robotic Path Planning Algorithms
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- Computational Drug Discovery Methods
Papers in
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- Personal Information Management and User Behavior 8
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- Robotic Path Planning Algorithms 8
- Context-Aware Activity Recognition Systems 6
- Co-authors
- Juan Cortés (12 shared papers)Thierry Siméon (10 shared papers)Dinler A. Antunes (15 shared papers)Lydia E. Kavraki (17 shared papers)Mark Moll (9 shared papers)Gregory A. Lizee (5 shared papers)Robin Gras (2 shared papers)Stefanie Lindstaedt (9 shared papers)
- Journals
- Scientific Reports (2 papers)Expert Opinion on Drug Discovery (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)Computers in Biology and Medicine (1 paper)Springer tracts in advanced robotics (1 paper)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Didier Devaurs
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 341
- Computational Theory and Mathematics 159
- Aerospace Engineering 175
- Control and Systems Engineering 157
- Molecular Biology 418
Countries citing papers authored by Didier Devaurs
This map shows the geographic impact of Didier Devaurs'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 Didier Devaurs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Devaurs more than expected).
Fields of papers citing papers by Didier Devaurs
This network shows the impact of papers produced by Didier Devaurs. 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 Didier Devaurs. The network helps show where Didier Devaurs may publish in the future.
Co-authors
The 25 scholars most cited alongside Didier Devaurs, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 120 | |
| 2 | 2015 | 108 | |
| 3 | 2017 | 103 | |
| 4 | 2009 | 73 | |
| 5 | 2013 | 65 | |
| 6 | 2013 | 59 | |
| 7 | 2019 | 54 | |
| 8 | 2009 | 46 | |
| 9 | 2018 | 40 | |
| 10 | 2013 | 36 | |
| 11 | 2019 | 35 | |
| 12 | 2011 | 34 | |
| 13 | 2014 | 32 | |
| 14 | 2013 | 26 | |
| 15 | 2015 | 24 | |
| 16 | 2020 | 22 | |
| 17 | 2017 | 21 | |
| 18 | 2022 | 21 | |
| 19 | 2015 | 20 | |
| 20 | 2009 | 18 |
About Didier Devaurs
Didier Devaurs is a scholar working on Information Systems and Management, Computer Vision and Pattern Recognition, Molecular Biology, Spectroscopy and Human-Computer Interaction, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Robotic Path Planning Algorithms (8 papers), Personal Information Management and User Behavior (8 papers), Context-Aware Activity Recognition Systems (6 papers), Mass Spectrometry Techniques and Applications (5 papers), vaccines and immunoinformatics approaches (5 papers), Computational Drug Discovery Methods (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (341 citations), Computational Theory and Mathematics (159 citations), Aerospace Engineering (175 citations), Control and Systems Engineering (157 citations) and Molecular Biology (418 citations). Didier Devaurs has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Juan Cortés, Thierry Siméon, Dinler A. Antunes, Lydia E. Kavraki, Mark Moll, Gregory A. Lizee, Robin Gras, Stefanie Lindstaedt, Mauricio Menegatti Rigo and Lluís Ros. Their work appears in journals such as Scientific Reports, Expert Opinion on Drug Discovery, Journal of the American Society for Mass Spectrometry, Computers in Biology and Medicine and Springer tracts in advanced robotics.
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.