Patrick Garda

755 citations
82 papers · 329 indexed · h-index 10

Patrick Garda

69 papers receiving 317 citations

Peers

Patrick Garda
Comparison fields: 5 of 75
  • Acoustics and Ultrasonics 4
  • Hardware and Architecture 26
  • Computer Vision and Pattern Recognition 75
  • Signal Processing 39
  • Instrumentation 11
Replace Lionel Lacassagne with:
Lionel Lacassagne France
K. Strohbehn United States
Mark E. Lasher United States
Karlheinz Ochs Germany
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Citations per field
00.5×2.8×
Lionel Lacassagne · 1×
Citations per year

Countries citing papers authored by Patrick Garda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 20202
2 20089
3
Tolerance analysis in MOSFET analog integrated circuits
20071
4
Sensor Networks : Information Acquisition and Routing System
20061
5
11 - Un capteur de vision multi spectrale omnidirectionnelle : conception, calibrations et exploitation
20050
6 20042
7
Design and Modelling of an I2C Bus Controller.
20032
8 20031
9 20037
10
Compression à bas débit de séquences vidéo couleurs par l'algorithme Mask Motion JPEG2000
20031
11 20033
12 20023
13 20003
14 19984
15 19988
16 199610
17 19954
18
A Scalable Analog Implementation of Multilayer Boltzmann Machines
19930
19 198827
20 198710

About Patrick Garda

Patrick Garda is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing, Acoustics and Ultrasonics and Artificial Intelligence, having authored 82 papers that have together received 329 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), CCD and CMOS Imaging Sensors (13 papers), Advanced Memory and Neural Computing (11 papers), Advanced Data Compression Techniques (9 papers), Embedded Systems Design Techniques (8 papers), Cellular Automata and Applications (8 papers), Image and Signal Denoising Methods (8 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (4 citations), Hardware and Architecture (26 citations), Computer Vision and Pattern Recognition (75 citations), Signal Processing (39 citations) and Instrumentation (11 citations). Patrick Garda has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include F. Devos, Pierre Chavel, Olivier Romain, Andréa Pinna, Eric Belhaire, Guo‐Neng Lu, Lionel Lacassagne, Yves Cansi, Stéphanie Muller and Jean Taboury. Their work appears in journals such as Electronics Letters, Optics Communications, Optics Letters, IEEE Journal of Solid-State Circuits and IEEE Transactions on Components Packaging and Manufacturing Technology.

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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