F. Large
Impact in
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- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Robotic Path Planning Algorithms 9
- Image Enhancement Techniques 1
-
- Robotics and Sensor-Based Localization 5
- Co-authors
- Zvi Shiller (5 shared papers)Christian Laugier (6 shared papers)S. Sekhavat (4 shared papers)Dizan Vasquez (3 shared papers)Thierry Fraichard (3 shared papers)C. Laugier (2 shared papers)John R. Moore (1 shared paper)Scott Henderson (1 shared paper)
- Journals
- Autonomous Robots (1 paper)IFAC Proceedings Volumes (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (2 papers)Lighting Research & Technology (2 papers)
- Partner nations
- FranceIsraelUnited States
In The Last Decade
F. Large
11 papers receiving 319 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 290
- Automotive Engineering 101
- Aerospace Engineering 156
- Control and Systems Engineering 104
- Ocean Engineering 51
Countries citing papers authored by F. Large
This map shows the geographic impact of F. Large'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 F. Large with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Large more than expected).
Fields of papers citing papers by F. Large
This network shows the impact of papers produced by F. Large. 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 F. Large. The network helps show where F. Large may publish in the future.
Co-authors
The 8 scholars most cited alongside F. Large, 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 | 2002 | 111 | |
| 2 | 2005 | 66 | |
| 3 | 2004 | 55 | |
| 4 | 2003 | 44 | |
| 5 | 2004 | 31 | |
| 6 | 2005 | 19 | |
| 7 | 2001 | 8 | |
| 8 | 2005 | 5 | |
| 9 | 1973 | 3 | |
| 10 | 2002 | 3 | |
| 11 | 1973 | 1 |
About F. Large
F. Large is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 346 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Robotics and Sensor-Based Localization (5 papers), Control and Dynamics of Mobile Robots (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Color Science and Applications (2 papers), Visual perception and processing mechanisms (2 papers), Color perception and design (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Automotive Engineering (101 citations), Aerospace Engineering (156 citations), Control and Systems Engineering (104 citations) and Ocean Engineering (51 citations). F. Large has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Zvi Shiller, Christian Laugier, S. Sekhavat, Dizan Vasquez, Thierry Fraichard, C. Laugier, John R. Moore and Scott Henderson. Their work appears in journals such as Autonomous Robots, IFAC Proceedings Volumes, HAL (Le Centre pour la Communication Scientifique Directe) and Lighting Research & Technology.
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.