Thierry Paquet
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 1%
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Co-authors
- Laurent HeutteAmeur BenséfiaY. LecourtierClément ChatelainYousri KessentiniStéphane NicolasUtpal GarainC Olivier
- Topics
- Handwritten Text Recognition Techniques (62 papers)Natural Language Processing Techniques (22 papers)Image Processing and 3D Reconstruction (21 papers)
In The Last Decade
Thierry Paquet
76 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 425
- Media Technology 371
- Human-Computer Interaction 119
- Signal Processing 76
Countries citing papers authored by Thierry Paquet
This map shows the geographic impact of Thierry Paquet'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 Thierry Paquet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thierry Paquet more than expected).
Fields of papers citing papers by Thierry Paquet
This network shows the impact of papers produced by Thierry Paquet. 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 Thierry Paquet. The network helps show where Thierry Paquet may publish in the future.
Co-authorship network of co-authors of Thierry Paquet
This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Paquet. A scholar is included among the top collaborators of Thierry Paquet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thierry Paquet. Thierry Paquet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 26 | |
| 4 | 4 | |
| 5 | Cohort of LSTM and lexicon verification for handwriting recognition with gigantic lexicon. | 2 |
| 6 | 3 | |
| 7 | A Hybrid BLSTM-HMM for Spotting Regular Expressions. | 1 |
| 8 | 1 | |
| 9 | Prediction of Selection Decision of Document Using Bibliographic Data at the National Library of France (BnF) | 0 |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 43 | |
| 17 | 45 | |
| 18 | Grapheme based writer verification | 5 |
| 19 | 56 | |
| 20 | 33 |
About Thierry Paquet
Thierry Paquet is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (62 papers), Natural Language Processing Techniques (22 papers) and Image Processing and 3D Reconstruction (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (371 citations) and Human-Computer Interaction (119 citations). Thierry Paquet has collaborated with scholars based in France, Tunisia and India. Frequent co-authors include Laurent Heutte, Ameur Benséfia, Y. Lecourtier, Clément Chatelain, Yousri Kessentini, Stéphane Nicolas, Utpal Garain, C Olivier, Abdelmajid Ben Hamadou and Sébastien Adam. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters.
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.