Laurent Heutte
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- Handwritten Text Recognition Techniques 41
- Image Retrieval and Classification Techniques 23
- Image Processing and 3D Reconstruction 14
- Advanced Image and Video Retrieval Techniques 11
- Digital Imaging for Blood Diseases 4
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques 14
- AI in cancer detection 7
- Media Technology top 1%
- Vehicle License Plate Recognition 6
- Neurology top 2%
- Co-authors
- Caroline PetitjeanFábio Alexandre SpanholLuiz S. OliveiraThierry PaquetAmeur BenséfiaSimon BernardY. LecourtierDe-Shuang Huang
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
In The Last Decade
Laurent Heutte
76 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 2.2k
- Artificial Intelligence 2.5k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Media Technology 392
- Neurology 319
Countries citing papers authored by Laurent Heutte
This map shows the geographic impact of Laurent Heutte'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 Laurent Heutte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Heutte more than expected).
Fields of papers citing papers by Laurent Heutte
This network shows the impact of papers produced by Laurent Heutte. 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 Laurent Heutte. The network helps show where Laurent Heutte may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laurent Heutte, 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 | 2023 | 12 | |
| 2 | 2023 | 6 | |
| 3 | 2018 | 256 | |
| 4 | 2017 | 45 | |
| 5 | Breast cancer histopathological image classification using Convolutional Neural Networksbreakdown → | 2016 | 617 |
| 6 | A Dataset for Breast Cancer Histopathological Image Classificationbreakdown → | 2015 | 1104 |
| 7 | 2012 | 41 | |
| 8 | 2011 | 16 | |
| 9 | 2010 | 2 | |
| 10 | 2009 | 2 | |
| 11 | A Bayesian Network Model for Discovering Handwriting Strategies of Primary School Children | 2008 | 1 |
| 12 | 2008 | 1 | |
| 13 | 2008 | 17 | |
| 14 | Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques: Third International Conference | 2007 | 4 |
| 15 | 2007 | 1 | |
| 16 | Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications | 2007 | 1 |
| 17 | 2004 | 45 | |
| 18 | Grapheme based writer verification | 2003 | 5 |
| 19 | 2001 | 2 | |
| 20 | 1999 | 33 |
About Laurent Heutte
Laurent Heutte is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 80 papers that have together received 3.8k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (41 papers), Image Retrieval and Classification Techniques (23 papers), Natural Language Processing Techniques (14 papers), Image Processing and 3D Reconstruction (14 papers), Advanced Image and Video Retrieval Techniques (11 papers), AI in cancer detection (7 papers), Vehicle License Plate Recognition (6 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Artificial Intelligence (2.5k citations) and Radiology, Nuclear Medicine and Imaging (1.4k citations). Laurent Heutte has collaborated with scholars based in France, Brazil and India. Frequent co-authors include Caroline Petitjean, Fábio Alexandre Spanhol, Luiz S. Oliveira, Thierry Paquet, Ameur Benséfia, Simon Bernard, Y. Lecourtier, De-Shuang Huang, Paulo Cavalin and Paul Honeiné. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, International Journal on Document Analysis and Recognition (IJDAR), IEEE Transactions on Biomedical Engineering and Applied Mathematics and Computation.
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.