Jean-Yves Ramel
-
- Handwritten Text Recognition Techniques 18
- Image Retrieval and Classification Techniques 18
- Advanced Image and Video Retrieval Techniques 17
- Graph Theory and Algorithms 9
- Image Processing and 3D Reconstruction 8
- Medical Image Segmentation Techniques 6
- Image and Object Detection Techniques 3
- Signal Processing top 10%
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks 9
- Co-authors
- Nicole VincentRomain RaveauxPartha Pratim RoyRémy MullotThierry BrouardMuhammad Muzzamil LuqmanJosep LladósVéronique Églin
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (1 paper)Pattern Recognition (4 papers)
In The Last Decade
Jean-Yves Ramel
39 papers receiving 382 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 329
- Signal Processing 59
- Artificial Intelligence 122
- Human-Computer Interaction 18
- Geology 15
Countries citing papers authored by Jean-Yves Ramel
This map shows the geographic impact of Jean-Yves Ramel'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 Jean-Yves Ramel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Yves Ramel more than expected).
Fields of papers citing papers by Jean-Yves Ramel
This network shows the impact of papers produced by Jean-Yves Ramel. 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 Jean-Yves Ramel. The network helps show where Jean-Yves Ramel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean-Yves Ramel, 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 | 2022 | 2 | |
| 2 | 2017 | 3 | |
| 3 | 2017 | 14 | |
| 4 | 2016 | 5 | |
| 5 | 2016 | 5 | |
| 6 | A comparison of explicit and implicit graph embedding methods for pattern recognition | 2013 | 1 |
| 7 | 2013 | 4 | |
| 8 | 2013 | 6 | |
| 9 | 2012 | 8 | |
| 10 | 2012 | 36 | |
| 11 | Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images | 2011 | 2 |
| 12 | 2011 | 18 | |
| 13 | A Content Spotting System For Line Drawing Graphic Document Images | 2010 | 1 |
| 14 | 2008 | 38 | |
| 15 | 2006 | 12 | |
| 16 | 2006 | 20 | |
| 17 | 2005 | 2 | |
| 18 | 2004 | 35 | |
| 19 | 2000 | 12 | |
| 20 | 1999 | 12 |
About Jean-Yves Ramel
Jean-Yves Ramel is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 44 papers that have together received 410 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (18 papers), Image Retrieval and Classification Techniques (18 papers), Advanced Image and Video Retrieval Techniques (17 papers), Graph Theory and Algorithms (9 papers), Advanced Graph Neural Networks (9 papers), Image Processing and 3D Reconstruction (8 papers), Medical Image Segmentation Techniques (6 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (329 citations), Signal Processing (59 citations) and Artificial Intelligence (122 citations). Jean-Yves Ramel has collaborated with scholars based in France, India and Spain. Frequent co-authors include Nicole Vincent, Romain Raveaux, Partha Pratim Roy, Rémy Mullot, Thierry Brouard, Muhammad Muzzamil Luqman, Josep Lladós, Véronique Églin, Michel Crucianu and Christophe Fauré. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.
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.