Théodore Bluche
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Handwritten Text Recognition Techniques 11
- Image Processing and 3D Reconstruction 8
- Advanced Image and Video Retrieval Techniques 2
- Image and Object Detection Techniques 1
- Advanced Neural Network Applications 1
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- Natural Language Processing Techniques 7
- Co-authors
- Christopher Kermorvant (9 shared papers)Ronaldo Messina (3 shared papers)Hermann Ney (4 shared papers)Jérôme Louradour (4 shared papers)Mohamed Faouzi BenZeghiba (2 shared papers)Joan Puigcerver (1 shared paper)Dominique Stutzmann (1 shared paper)Alejandro H. Toselli (1 shared paper)
- Journals
- HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)RWTH Publications (RWTH Aachen) (2 papers)
In The Last Decade
Théodore Bluche
11 papers receiving 299 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 266
- Human-Computer Interaction 35
- Media Technology 55
- Artificial Intelligence 184
- Signal Processing 34
Countries citing papers authored by Théodore Bluche
This map shows the geographic impact of Théodore Bluche'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 Théodore Bluche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Théodore Bluche more than expected).
Fields of papers citing papers by Théodore Bluche
This network shows the impact of papers produced by Théodore Bluche. 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 Théodore Bluche. The network helps show where Théodore Bluche may publish in the future.
Co-authors
The 9 scholars most cited alongside Théodore Bluche, 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 | 2017 | 73 | |
| 2 | 2013 | 55 | |
| 3 | 2013 | 41 | |
| 4 | 2014 | 35 | |
| 5 | 2014 | 28 | |
| 6 | 2015 | 24 | |
| 7 | 2015 | 21 | |
| 8 | 2017 | 18 | |
| 9 | 2014 | 13 | |
| 10 | 2016 | 6 | |
| 11 | 2015 | 6 |
About Théodore Bluche
Théodore Bluche is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Media Technology and Infectious Diseases, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (11 papers), Image Processing and 3D Reconstruction (8 papers), Natural Language Processing Techniques (7 papers), Advanced Image and Video Retrieval Techniques (2 papers), Web Data Mining and Analysis (1 paper), Vehicle License Plate Recognition (1 paper), Image and Object Detection Techniques (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Human-Computer Interaction (35 citations), Media Technology (55 citations), Artificial Intelligence (184 citations) and Signal Processing (34 citations). Théodore Bluche has collaborated with scholars based in France and Germany. Frequent co-authors include Christopher Kermorvant, Ronaldo Messina, Hermann Ney, Jérôme Louradour, Mohamed Faouzi BenZeghiba, Joan Puigcerver, Dominique Stutzmann, Alejandro H. Toselli and Enrique Vidal. Their work appears in journals such as HAL (Le Centre pour la Communication Scientifique Directe) and RWTH Publications (RWTH Aachen).
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.