Laurent Heutte

6.3k total citations · 2 hit papers
80 papers, 3.8k citations indexed

About

Laurent Heutte is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Laurent Heutte has authored 80 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Laurent Heutte's work include Handwritten Text Recognition Techniques (41 papers), Image Retrieval and Classification Techniques (23 papers) and Natural Language Processing Techniques (14 papers). Laurent Heutte is often cited by papers focused on Handwritten Text Recognition Techniques (41 papers), Image Retrieval and Classification Techniques (23 papers) and Natural Language Processing Techniques (14 papers). Laurent Heutte collaborates with scholars based in France, Brazil and India. Laurent Heutte's 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 and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Pattern Recognition.

In The Last Decade

Laurent Heutte

76 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Dataset for Breast Cancer Histopathological Image Classification

2015 1.1k citations Fábio Alexandre Spanhol, Luiz S. Oliveira et al. IEEE Transactions on Biomedical Engineering profile →
Breast cancer histopathological image classification using Convolutional Neural Networks

2016 617 citations Fábio Alexandre Spanhol, Luiz S. Oliveira et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laurent Heutte France	24	2.5k	2.2k	1.4k	392	319	80	3.8k
Banshidhar Majhi India	31	1.3k 0.5×	1.8k 0.8×	588 0.4×	374 1.0×	562 1.8×	189	3.3k
Yilong Yin China	31	1.6k 0.7×	2.0k 0.9×	526 0.4×	241 0.6×	137 0.4×	235	3.5k
Mita Nasipuri India	34	1.2k 0.5×	2.8k 1.3×	438 0.3×	1.4k 3.6×	150 0.5×	305	4.3k
Éric Granger Canada	31	1.5k 0.6×	1.8k 0.9×	384 0.3×	206 0.5×	82 0.3×	208	3.9k
Fayadh Alenezi Saudi Arabia	30	723 0.3×	915 0.4×	323 0.2×	217 0.6×	162 0.5×	123	2.7k
Mohd Shafry Mohd Rahim Malaysia	28	627 0.2×	1.1k 0.5×	376 0.3×	172 0.4×	197 0.6×	156	2.2k
Mohammad Norouzi United States	21	1.4k 0.6×	2.6k 1.2×	525 0.4×	390 1.0×	43 0.1×	44	4.1k
Zhenbing Liu China	24	688 0.3×	961 0.4×	300 0.2×	413 1.1×	195 0.6×	101	1.8k
Naveed Islam Pakistan	21	700 0.3×	467 0.2×	402 0.3×	103 0.3×	168 0.5×	58	2.0k
Zizhao Zhang United States	19	824 0.3×	789 0.4×	421 0.3×	88 0.2×	67 0.2×	42	1.6k

Countries citing papers authored by Laurent Heutte

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rakotomamonjy, Alain, et al.. (2023). Approximating dynamic time warping with a convolutional neural network on EEG data. Pattern Recognition Letters. 171. 162–169. 12 indexed citations

Bernard, Simon, et al.. (2023). Random forest kernel for high-dimension low sample size classification. Statistics and Computing. 34(1). 6 indexed citations

Petitjean, Caroline, et al.. (2018). Multiple instance learning for histopathological breast cancer image classification. Expert Systems with Applications. 117. 103–111. 256 indexed citations

Heutte, Laurent, et al.. (2017). Automatic classification of human sperm head morphology. Computers in Biology and Medicine. 84. 205–216. 45 indexed citations

Spanhol, Fábio Alexandre, Luiz S. Oliveira, Caroline Petitjean, & Laurent Heutte. (2016). Breast cancer histopathological image classification using Convolutional Neural Networks. 2560–2567. 617 indexed citations breakdown →

Spanhol, Fábio Alexandre, Luiz S. Oliveira, Caroline Petitjean, & Laurent Heutte. (2015). A Dataset for Breast Cancer Histopathological Image Classification. IEEE Transactions on Biomedical Engineering. 63(7). 1455–1462. 1104 indexed citations breakdown →

Petitjean, Caroline, et al.. (2012). Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees. IEEE Transactions on Biomedical Engineering. 59(9). 2677–2683. 41 indexed citations

Petitjean, Caroline, et al.. (2011). An SVM-based distal lung image classification using texture descriptors. Computerized Medical Imaging and Graphics. 36(4). 264–270. 16 indexed citations

Chatelain, Clément, et al.. (2010). NONCOST SENSITIVE SVM TRAINING USING MULTIPLE MODEL SELECTION. Journal of Circuits Systems and Computers. 19(1). 231–242. 2 indexed citations

10.

Heutte, Laurent, et al.. (2009). Font adaptation of an HMM-based OCR system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7534. 75340J–75340J. 2 indexed citations

11.

Leray, Philippe, et al.. (2008). A Bayesian Network Model for Discovering Handwriting Strategies of Primary School Children. 1 indexed citations

12.

Garain, Utpal, Swapan K. Parui, Thierry Paquet, & Laurent Heutte. (2008). Machine dating of manuscripts written by an individual. Journal of Electronic Imaging. 17(1). 11012–11012. 1 indexed citations

13.

Fairhurst, M.C., et al.. (2008). Developing a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling. Behavior Research Methods. 40(1). 290–303. 17 indexed citations

14.

Huang, De-Shuang, Laurent Heutte, & Marco Loog. (2007). Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques: Third International Conference. Springer eBooks. 4 indexed citations

15.

Garain, Utpal, Swapan K. Parui, Thierry Paquet, & Laurent Heutte. (2007). Machine Dating of Handwritten Manuscripts. 2. 759–763. 1 indexed citations

16.

Huang, De-Shuang, Laurent Heutte, & Marco Loog. (2007). Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications. 1 indexed citations

17.

Nicolas, Stéphane, Thierry Paquet, & Laurent Heutte. (2004). Text Line Segmentation in Handwritten Document Using a Production System. 245–250. 45 indexed citations

18.

Benséfia, Ameur, Thierry Paquet, & Laurent Heutte. (2003). Grapheme based writer verification. 5 indexed citations

19.

Heutte, Laurent, et al.. (2001). Source-to-Source Instrumentation for the Optimization of an Automatic Reading System. The Journal of Supercomputing. 18(1). 89–104. 2 indexed citations

20.

Heutte, Laurent, et al.. (1999). Defining writer's invariants to adapt the recognition task. 765–768. 33 indexed citations

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.

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