Frédéric Maire
Impact in
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Artificial Intelligence in Games
- Neural Networks and Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 17
- Robotic Path Planning Algorithms 15
- Advanced Vision and Imaging 8
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- Neural Networks and Applications 8
- Reinforcement Learning in Robotics 7
- Co-authors
- Cameron Browne (2 shared papers)Andry Rakotonirainy (12 shared papers)Vinod Chandran (4 shared papers)Bahareh Nakisa (4 shared papers)Luis Mejías (6 shared papers)Marcus Gallagher (2 shared papers)Mohammad Naim Rastgoo (3 shared papers)Amanda Hodgson (4 shared papers)
In The Last Decade
Frédéric Maire
102 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 424
- Artificial Intelligence 465
- Experimental and Cognitive Psychology 170
- Discrete Mathematics and Combinatorics 38
- Human-Computer Interaction 61
Countries citing papers authored by Frédéric Maire
This map shows the geographic impact of Frédéric Maire'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 Frédéric Maire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Maire more than expected).
Fields of papers citing papers by Frédéric Maire
This network shows the impact of papers produced by Frédéric Maire. 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 Frédéric Maire. The network helps show where Frédéric Maire may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Maire, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 165 | |
| 2 | 2019 | 146 | |
| 3 | 2018 | 107 | |
| 4 | 2005 | 76 | |
| 5 | 2020 | 75 | |
| 6 | 2020 | 67 | |
| 7 | 1995 | 56 | |
| 8 | 2019 | 55 | |
| 9 | 2015 | 48 | |
| 10 | 2010 | 38 | |
| 11 | 2003 | 31 | |
| 12 | 2021 | 27 | |
| 13 | A Vision Based Target Detection System for Docking of an A utonomous Underwater Vehicle | 2009 | 27 |
| 14 | 1999 | 25 | |
| 15 | 2020 | 22 | |
| 16 | 2007 | 21 | |
| 17 | 2000 | 21 | |
| 18 | 2008 | 20 | |
| 19 | 2007 | 18 | |
| 20 | 1997 | 17 |
About Frédéric Maire
Frédéric Maire is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Automotive Engineering, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), Advanced Image and Video Retrieval Techniques (17 papers), Robotic Path Planning Algorithms (15 papers), Autonomous Vehicle Technology and Safety (8 papers), Neural Networks and Applications (8 papers), Advanced Vision and Imaging (8 papers), Reinforcement Learning in Robotics (7 papers) and Robot Manipulation and Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (424 citations), Artificial Intelligence (465 citations), Experimental and Cognitive Psychology (170 citations), Discrete Mathematics and Combinatorics (38 citations) and Human-Computer Interaction (61 citations). Frédéric Maire has collaborated with scholars based in Australia, France and Germany. Frequent co-authors include Cameron Browne, Andry Rakotonirainy, Vinod Chandran, Bahareh Nakisa, Luis Mejías, Marcus Gallagher, Mohammad Naim Rastgoo, Amanda Hodgson, Juan Sandino and Felipé Gonzalez. Their work appears in journals such as IEEE Robotics and Automation Letters, Remote Sensing, Discrete Mathematics, IEEE Access and Lecture notes in computer science.
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.