Harold Mouchère

1.8k citations
39 papers · 391 · h-index 12

Impact in

Papers in

    • Handwritten Text Recognition Techniques 25
    • Advanced Image and Video Retrieval Techniques 6
    • Advanced Neural Network Applications 4
    • Image Processing and 3D Reconstruction 3
    • Natural Language Processing Techniques 11
    • Text and Document Classification Technologies 3

Harold Mouchère

38 papers receiving 369 citations

Peers

Harold Mouchère
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 275
  • Health Informatics 9
  • Human-Computer Interaction 34
  • Computational Theory and Mathematics 98
  • Artificial Intelligence 165
Replace Jiarui Liu with:
Jiarui Liu China
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V. N. Manjunath Aradhya India
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Citations per field
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Citations per year

Countries citing papers authored by Harold Mouchère

Since Specialization
Citations

This map shows the geographic impact of Harold Mouchère'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 Harold Mouchère with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harold Mouchère more than expected).

Fields of papers citing papers by Harold Mouchère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold Mouchère. 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 Harold Mouchère. The network helps show where Harold Mouchère may publish in the future.

Co-authors

The 25 scholars most cited alongside Harold Mouchère, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Harold Mouchère Line = papers co-authored together Harold Mouchère links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201254
2 201637
3 201035
4 202222
5 201122
6 201221
7 201819
8 202118
9 202217
10 200813
11 201312
12 201111
13 201710
14 20099
15 20179
16
Synthetic On-line Handwriting Generation by Distortions and Analogy
20079
17 20078
18 20236
19 20226
20 20246

About Harold Mouchère

Harold Mouchère is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Human-Computer Interaction and Signal Processing, having authored 39 papers that have together received 391 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (25 papers), Natural Language Processing Techniques (11 papers), Mathematics, Computing, and Information Processing (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Neural Network Applications (4 papers), Hand Gesture Recognition Systems (4 papers), Image Processing and 3D Reconstruction (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (275 citations), Health Informatics (9 citations), Human-Computer Interaction (34 citations), Computational Theory and Mathematics (98 citations) and Artificial Intelligence (165 citations). Harold Mouchère has collaborated with scholars based in France, United States and China. Frequent co-authors include Christian Viard-Gaudin, Richard Zanibbi, Utpal Garain, Nicolas Normand, Éric Anquetil, Ting Zhang, Jinpeng Li, Thomas Fréour, Fabien Lotte and Dorothea Blostein. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Human-Machine Systems and Journal of Vision.

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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