G. Rives
Impact in
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- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Image and Object Detection Techniques
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
Papers in
-
- Image and Object Detection Techniques 10
- Advanced Vision and Imaging 6
- Optical measurement and interference techniques 5
- Medical Image Segmentation Techniques 3
- Image Processing and 3D Reconstruction 2
-
- Robotics and Sensor-Based Localization 8
- Co-authors
- Michel Dhome (15 shared papers)Jean‐Thierry Lapresté (8 shared papers)M. Richetin (9 shared papers)Jean‐Marc Lavest (4 shared papers)Frédéric Lerasle (3 shared papers)Adnan Yassine (1 shared paper)Emmanuel Van Praagh (1 shared paper)J. Gallice (1 shared paper)
- Journals
- Pattern Recognition Letters (2 papers)IEEE Transactions on Robotics and Automation (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Computer Vision and Image Understanding (1 paper)Machine Vision and Applications (1 paper)
- Partner nations
- FranceSwitzerland
In The Last Decade
G. Rives
17 papers receiving 708 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 675
- Aerospace Engineering 468
- Geology 101
- Media Technology 88
- Computer Graphics and Computer-Aided Design 20
Countries citing papers authored by G. Rives
This map shows the geographic impact of G. Rives'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 G. Rives with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Rives more than expected).
Fields of papers citing papers by G. Rives
This network shows the impact of papers produced by G. Rives. 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 G. Rives. The network helps show where G. Rives may publish in the future.
Co-authors
The 8 scholars most cited alongside G. Rives, 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 | 1989 | 357 | |
| 2 | 2000 | 82 | |
| 3 | 1993 | 66 | |
| 4 | 1990 | 63 | |
| 5 | 2003 | 60 | |
| 6 | 1991 | 33 | |
| 7 | 1993 | 21 | |
| 8 | 1996 | 16 | |
| 9 | 1995 | 16 | |
| 10 | 1999 | 14 | |
| 11 | 1988 | 11 | |
| 12 | 2002 | 10 | |
| 13 | 1983 | 5 | |
| 14 | 1986 | 5 | |
| 15 | 1985 | 4 | |
| 16 | 1997 | 3 | |
| 17 | 1986 | 2 | |
| 18 | 2005 | 0 |
About G. Rives
G. Rives is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Ocean Engineering and Human-Computer Interaction, having authored 18 papers that have together received 768 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (10 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (6 papers), Optical measurement and interference techniques (5 papers), 3D Surveying and Cultural Heritage (4 papers), Medical Image Segmentation Techniques (3 papers), Hand Gesture Recognition Systems (2 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (675 citations), Aerospace Engineering (468 citations), Geology (101 citations), Media Technology (88 citations) and Computer Graphics and Computer-Aided Design (20 citations). G. Rives has collaborated with scholars based in France and Switzerland. Frequent co-authors include Michel Dhome, Jean‐Thierry Lapresté, M. Richetin, Jean‐Marc Lavest, Frédéric Lerasle, Adnan Yassine, Emmanuel Van Praagh and J. Gallice. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Robotics and Automation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and Machine Vision and Applications.
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.