P. Simard
-
- Handwritten Text Recognition Techniques 8
- Advanced Data Compression Techniques 7
- Image Retrieval and Classification Techniques 6
- Image and Signal Denoising Methods 6
- Advanced Image and Video Retrieval Techniques 5
- Artificial Intelligence top 0.2%
- Neural Networks and Applications 6
- Signal Processing top 0.5%
- Media Technology top 1%
- Cognitive Neuroscience top 2%
-
- Ophthalmology and Visual Impairment Studies 7
-
- Corneal surgery and disorders 6
P. Simard
55 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Computer Vision and Pattern Recognition 2.4k
- Artificial Intelligence 3.5k
- Signal Processing 893
- Media Technology 431
- Cognitive Neuroscience 775
Countries citing papers authored by P. Simard
This map shows the geographic impact of P. 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 P. Simard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Simard more than expected).
Fields of papers citing papers by P. Simard
This network shows the impact of papers produced by P. 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 P. Simard. The network helps show where P. Simard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. 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 | 2024 | 10 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 105 | |
| 4 | 2018 | 37 | |
| 5 | 2015 | 1 | |
| 6 | 2008 | 3 | |
| 7 | 2006 | 164 | |
| 8 | 2005 | 153 | |
| 9 | 2005 | 2 | |
| 10 | 2004 | 1 | |
| 11 | Improving Wavelet Compression with Neural Networks | 2001 | 5 |
| 12 | 1998 | 28 | |
| 13 | 1997 | 2 | |
| 14 | 1996 | 69 | |
| 15 | Learning long-term dependencies with gradient descent is difficultbreakdown → | 1994 | 5453 |
| 16 | 1994 | 431 | |
| 17 | 1990 | 42 | |
| 18 | 1989 | 89 | |
| 19 | 1987 | 23 | |
| 20 | 1981 | 25 |
About P. Simard
P. Simard is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 56 papers that have together received 9.4k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Advanced Data Compression Techniques (7 papers), Ophthalmology and Visual Impairment Studies (7 papers), Image Retrieval and Classification Techniques (6 papers), Corneal surgery and disorders (6 papers), Image and Signal Denoising Methods (6 papers), Neural Networks and Applications (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Artificial Intelligence (3.5k citations) and Signal Processing (893 citations). P. Simard has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Yoshua Bengio, Paolo Frasconi, Don Steinkraus, John Platt, Robert W. Doty, J. L. Ringo, S. Demeter, Ian Buck, J. S. Denker and Léon Bottou. Their work appears in journals such as Contact Lens and Anterior Eye, Applied and Environmental Microbiology, Signal Processing, Applied Sciences and Value in Health.
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.