Laurent Heutte
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Media Technology top 1%
- Neurology top 2%
- Co-authors
- Caroline PetitjeanFábio Alexandre SpanholLuiz S. OliveiraThierry PaquetAmeur BenséfiaSimon BernardY. LecourtierDe-Shuang Huang
- Topics
- Handwritten Text Recognition Techniques (41 papers)Image Retrieval and Classification Techniques (23 papers)Natural Language Processing Techniques (14 papers)
- 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
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 2.2k
- 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 of co-authors of Laurent Heutte
This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Heutte. A scholar is included among the top collaborators of Laurent Heutte 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 Laurent Heutte. Laurent Heutte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 6 | |
| 3 | 256 | |
| 4 | 45 | |
| 5 | Breast cancer histopathological image classification using Convolutional Neural Networksbreakdown → | 617 |
| 6 | A Dataset for Breast Cancer Histopathological Image Classificationbreakdown → | 1104 |
| 7 | 41 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | A Bayesian Network Model for Discovering Handwriting Strategies of Primary School Children | 1 |
| 12 | 1 | |
| 13 | 17 | |
| 14 | Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques: Third International Conference | 4 |
| 15 | 1 | |
| 16 | Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications | 1 |
| 17 | 45 | |
| 18 | Grapheme based writer verification | 5 |
| 19 | 2 | |
| 20 | 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) and Natural Language Processing Techniques (14 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 Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Pattern Recognition.
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.