Christopher Kermorvant
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Media Technology top 2%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 47
- Image Processing and 3D Reconstruction 22
- Image Retrieval and Classification Techniques 8
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- Natural Language Processing Techniques 31
- Topic Modeling 6
- Machine Learning and Algorithms 5
- Speech Recognition and Synthesis 5
- Co-authors
- Théodore Bluche (10 shared papers)Hermann Ney (5 shared papers)Jérôme Louradour (11 shared papers)Thierry Paquet (5 shared papers)Laurence Likforman-Sulem (5 shared papers)Clément Chatelain (2 shared papers)Sébastien Adam (2 shared papers)Chafic Mokbel (4 shared papers)
In The Last Decade
Christopher Kermorvant
59 papers receiving 827 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 683
- Media Technology 165
- Artificial Intelligence 450
- Human-Computer Interaction 55
- Signal Processing 75
Countries citing papers authored by Christopher Kermorvant
This map shows the geographic impact of Christopher Kermorvant'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 Christopher Kermorvant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Kermorvant more than expected).
Fields of papers citing papers by Christopher Kermorvant
This network shows the impact of papers produced by Christopher Kermorvant. 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 Christopher Kermorvant. The network helps show where Christopher Kermorvant may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Kermorvant, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 93 | |
| 2 | 2018 | 66 | |
| 3 | 2013 | 64 | |
| 4 | 2013 | 52 | |
| 5 | 2017 | 45 | |
| 6 | 2014 | 37 | |
| 7 | 2011 | 34 | |
| 8 | 2014 | 33 | |
| 9 | 2014 | 31 | |
| 10 | 2017 | 29 | |
| 11 | 2002 | 24 | |
| 12 | 2015 | 24 | |
| 13 | 2022 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2011 | 16 | |
| 16 | 2020 | 16 | |
| 17 | 2002 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2014 | 14 |
About Christopher Kermorvant
Christopher Kermorvant is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Information Systems, having authored 61 papers that have together received 889 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (47 papers), Natural Language Processing Techniques (31 papers), Image Processing and 3D Reconstruction (22 papers), Image Retrieval and Classification Techniques (8 papers), Vehicle License Plate Recognition (6 papers), Topic Modeling (6 papers), Machine Learning and Algorithms (5 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (683 citations), Media Technology (165 citations), Artificial Intelligence (450 citations), Human-Computer Interaction (55 citations) and Signal Processing (75 citations). Christopher Kermorvant has collaborated with scholars based in France, Lebanon and Belgium. Frequent co-authors include Théodore Bluche, Hermann Ney, Jérôme Louradour, Thierry Paquet, Laurence Likforman-Sulem, Clément Chatelain, Sébastien Adam, Chafic Mokbel, Pierre Dupont and Mohamed Faouzi BenZeghiba. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Lecture notes in computer science, Pattern Recognition Letters, Language Resources and Evaluation and Journal of Pediatric Gastroenterology and Nutrition.
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.