Patrick Garda
Impact in
- Hardware and Architecture top 10%
Papers in
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- Advanced Memory and Neural Computing 18
- CCD and CMOS Imaging Sensors 13
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- Neural Networks and Applications 22
- Neural Networks and Reservoir Computing 11
- Co-authors
- Eric Belhaire (19 shared papers)F. Devos (14 shared papers)Pierre Chavel (10 shared papers)Olivier Romain (17 shared papers)Andréa Pinna (15 shared papers)Yves Cansi (3 shared papers)Stéphanie Muller (3 shared papers)Lionel Lacassagne (5 shared papers)
In The Last Decade
Patrick Garda
85 papers receiving 381 citations
Peers
Comparison fields: 5 of 81
- Acoustics and Ultrasonics 4
- Hardware and Architecture 32
- Computer Vision and Pattern Recognition 91
- Signal Processing 47
- Artificial Intelligence 115
Countries citing papers authored by Patrick Garda
This map shows the geographic impact of Patrick Garda'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 Patrick Garda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Garda more than expected).
Fields of papers citing papers by Patrick Garda
This network shows the impact of papers produced by Patrick Garda. 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 Patrick Garda. The network helps show where Patrick Garda may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Garda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 29 | |
| 2 | 2008 | 24 | |
| 3 | 2010 | 21 | |
| 4 | 1999 | 17 | |
| 5 | 2003 | 13 | |
| 6 | 2008 | 12 | |
| 7 | 2016 | 12 | |
| 8 | 2017 | 10 | |
| 9 | 1996 | 10 | |
| 10 | 1987 | 10 | |
| 11 | 1998 | 9 | |
| 12 | 2008 | 9 | |
| 13 | 1991 | 8 | |
| 14 | 1990 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2008 | 7 | |
| 18 | 2003 | 7 | |
| 19 | 1990 | 7 | |
| 20 | 2001 | 7 |
About Patrick Garda
Patrick Garda is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 98 papers that have together received 403 indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Advanced Memory and Neural Computing (18 papers), CCD and CMOS Imaging Sensors (13 papers), Advanced Data Compression Techniques (11 papers), Neural Networks and Reservoir Computing (11 papers), Cellular Automata and Applications (11 papers), Image and Signal Denoising Methods (9 papers) and Embedded Systems Design Techniques (8 papers). The work is most often cited by research in Acoustics and Ultrasonics (4 citations), Hardware and Architecture (32 citations), Computer Vision and Pattern Recognition (91 citations), Signal Processing (47 citations) and Artificial Intelligence (115 citations). Patrick Garda has collaborated with scholars based in France, Germany and Japan. Frequent co-authors include Eric Belhaire, F. Devos, Pierre Chavel, Olivier Romain, Andréa Pinna, Yves Cansi, Stéphanie Muller, Lionel Lacassagne, Guo‐Neng Lu and Bertrand Granado. Their work appears in journals such as Electronics Letters, Optics Letters, IEEE Journal of Solid-State Circuits, Optics Communications and Informatics.
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.