Patrice Simard

5.3k citations
39 papers · 3.2k · h-index 26

Impact in

    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Neural Network Applications
    • Handwritten Text Recognition Techniques
    • Neural Networks and Applications
    • Machine Learning and Data Classification
    • Machine Learning and Algorithms

Papers in

Patrice Simard

39 papers receiving 2.9k citations

Peers

Patrice Simard
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 1.5k
  • Signal Processing 340
  • Human-Computer Interaction 110
  • Media Technology 155
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Jimmy Ba Canada
Tobias Scheffer Germany
豊 松尾
Barbara Hammer Germany
Ali Rahimi United States
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Chris Burges United States
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Citations per field
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Citations per year

Countries citing papers authored by Patrice Simard

Since Specialization
Citations

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

Fields of papers citing papers by Patrice Simard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrice Simard, 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 Patrice Simard Line = papers co-authored together Patrice Simard 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
Comparison of learning algorithms for handwritten digit recognition
1995364
2 1995308
3
Efficient Pattern Recognition Using a New Transformation Distance
1992307
4
High Performance Convolutional Neural Networks for Document Processing
2006270
5
Counterfactual reasoning and learning systems: the example of computational advertising
2013211
6
Prior Knowledge in Support Vector Kernels
1997203
7 2015175
8 2005148
9 1993128
10
Tangent Prop - A formalism for specifying selected invariances in an adaptive network
1991127
11
Improving Performance in Neural Networks Using a Boosting Algorithm
1992101
12
Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks
199881
13 200679
14 202065
15 201560
16 201257
17 200651
18 201946
19 200740
20 200640

About Patrice Simard

Patrice Simard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 39 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Handwritten Text Recognition Techniques (7 papers), Machine Learning and Algorithms (6 papers), Image Retrieval and Classification Techniques (6 papers), Data Visualization and Analytics (5 papers), Laser-induced spectroscopy and plasma (5 papers), Laser-Matter Interactions and Applications (5 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (1.5k citations), Signal Processing (340 citations), Human-Computer Interaction (110 citations) and Media Technology (155 citations). Patrice Simard has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Yann LeCun, Kumar Chellapilla, Harris Drucker, Vladimir Vapnik, Léon Bottou, John S. Denker, Robert E. Schapire, Isabelle Guyon, J. S. Denker and Corinna Cortes. Their work appears in journals such as Journal of Machine Learning Research, Applied Physics B, BioMed Research International, Applied Physics Letters and Laser Physics.

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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