Hubert Emptoz
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- Handwritten Text Recognition Techniques 32
- Image Retrieval and Classification Techniques 24
- Image Processing and 3D Reconstruction 18
- Advanced Image and Video Retrieval Techniques 12
- Image and Object Detection Techniques 5
- Video Analysis and Summarization 3
- Media Technology top 5%
- Vehicle License Plate Recognition 6
- Artificial Intelligence top 10%
- Algorithms and Data Compression 5
- Signal Processing top 10%
- Co-authors
- François LebourgeoisVéronique ÉglinStéphane BresNicole VincentFadoua DriraSonia Garcia-SalicettiJean-Yves RamelChing Y. Suen
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (5 papers)Pattern Recognition (2 papers)Fractals (1 paper)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Hubert Emptoz
53 papers receiving 580 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 539
- Media Technology 81
- Artificial Intelligence 156
- Signal Processing 47
- Human-Computer Interaction 18
Countries citing papers authored by Hubert Emptoz
This map shows the geographic impact of Hubert Emptoz'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 Hubert Emptoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert Emptoz more than expected).
Fields of papers citing papers by Hubert Emptoz
This network shows the impact of papers produced by Hubert Emptoz. 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 Hubert Emptoz. The network helps show where Hubert Emptoz may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Hubert Emptoz, 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 | 2012 | 4 | |
| 2 | 2011 | 22 | |
| 3 | 2008 | 2 | |
| 4 | 2007 | 13 | |
| 5 | 2007 | 19 | |
| 6 | 2007 | 6 | |
| 7 | 2007 | 24 | |
| 8 | 2004 | 16 | |
| 9 | 2003 | 1 | |
| 10 | 2003 | 26 | |
| 11 | 2002 | 5 | |
| 12 | 2001 | 16 | |
| 13 | 2001 | 1 | |
| 14 | 2000 | 12 | |
| 15 | 1999 | 10 | |
| 16 | 1999 | 12 | |
| 17 | 1999 | 28 | |
| 18 | From the segmentation to the complete reading of a mathematical document | 1998 | 1 |
| 19 | A new approach to crest lines detection in grey level images | 1994 | 1 |
| 20 | An OCR System for Printed Documents. | 1992 | 4 |
About Hubert Emptoz
Hubert Emptoz is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Computational Theory and Mathematics, having authored 54 papers that have together received 621 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (32 papers), Image Retrieval and Classification Techniques (24 papers), Image Processing and 3D Reconstruction (18 papers), Advanced Image and Video Retrieval Techniques (12 papers), Vehicle License Plate Recognition (6 papers), Image and Object Detection Techniques (5 papers), Algorithms and Data Compression (5 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (539 citations), Media Technology (81 citations), Artificial Intelligence (156 citations), Signal Processing (47 citations) and Human-Computer Interaction (18 citations). Hubert Emptoz has collaborated with scholars based in France, Canada and United States. Frequent co-authors include François Lebourgeois, Véronique Églin, Stéphane Bres, Nicole Vincent, Fadoua Drira, Sonia Garcia-Salicetti, Jean-Yves Ramel, Ching Y. Suen, Robert Sabourin and Myriam Côté. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition, Fractals, Machine Vision and Applications and Fuzzy Sets and Systems.
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.