Patrice Simard
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Handwritten Text Recognition Techniques
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Machine Learning and Algorithms
Papers in
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- Handwritten Text Recognition Techniques 7
- Image Retrieval and Classification Techniques 6
- Data Visualization and Analytics 5
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- Neural Networks and Applications 10
- Machine Learning and Algorithms 6
- Data Stream Mining Techniques 4
- Co-authors
- Yann LeCunKumar ChellapillaHarris DruckerVladimir VapnikLéon BottouJohn S. DenkerRobert E. SchapireJ. S. Denker
- Journals
- Applied Physics B (2 papers)Journal of Machine Learning Research (2 papers)ACM Transactions on Interactive Intelligent Systems (1 paper)Applied Physics Letters (1 paper)Human-Computer Interaction (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Patrice Simard
35 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 1.5k
- Signal Processing 339
- Human-Computer Interaction 110
- Media Technology 156
Countries citing papers authored by Patrice Simard
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2019 | 16 | |
| 3 | 2019 | 45 | |
| 4 | 2015 | 174 | |
| 5 | Counterfactual reasoning and learning systems: the example of computational advertising | 2013 | 208 |
| 6 | 2013 | 34 | |
| 7 | 2012 | 57 | |
| 8 | 2007 | 39 | |
| 9 | High Performance Convolutional Neural Networks for Document Processing | 2006 | 268 |
| 10 | A New Radical Based Approach to Offline Handwritten East-Asian Character Recognition | 2006 | 12 |
| 11 | 2006 | 40 | |
| 12 | Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks | 1998 | 81 |
| 13 | 1995 | 309 | |
| 14 | Learning Prototype Models for Tangent Distance | 1994 | 36 |
| 15 | 1993 | 128 | |
| 16 | Improving Performance in Neural Networks Using a Boosting Algorithm | 1992 | 101 |
| 17 | Efficient Pattern Recognition Using a New Transformation Distance | 1992 | 307 |
| 18 | Automatic Learning Rate Maximization in Large Adaptive Machines | 1992 | 8 |
| 19 | Reverse TDNN: An Architecture For Trajectory Generation | 1991 | 15 |
| 20 | Tangent Prop - A formalism for specifying selected invariances in an adaptive network | 1991 | 127 |
About Patrice Simard
Patrice Simard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Spectroscopy and Mechanics of Materials, having authored 35 papers that have together received 3.1k 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), Laser-induced spectroscopy and plasma (5 papers), Laser-Matter Interactions and Applications (5 papers), Data Visualization and Analytics (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 (339 citations), Human-Computer Interaction (110 citations) and Media Technology (156 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, J. S. Denker, Eduard Säckinger and Urs Müller. Their work appears in journals such as Applied Physics B, Journal of Machine Learning Research, ACM Transactions on Interactive Intelligent Systems, Applied Physics Letters and Human-Computer Interaction.
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.