Maxime Pelcat

1.3k citations
48 papers · 251 · h-index 9

Impact in

Papers in

Maxime Pelcat

45 papers receiving 246 citations

Peers

Maxime Pelcat
Comparison fields: 5 of 45
  • Hardware and Architecture 104
  • Signal Processing 42
  • Computer Networks and Communications 83
  • Computer Vision and Pattern Recognition 74
  • Media Technology 19
Replace William Diehl with:
William Diehl United States
Ulrich Finkler United States
Zdeněk Martinásek Czechia
Akber Ali Khan India
Martin Vuagnoux Switzerland
Sylvain Pasini Switzerland
Elke De Mulder Belgium
Pawan Harish India
Vivek Kumar India
Tomer Ashur Belgium
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Citations per field
00.5×10×17×
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Citations per year

Countries citing papers authored by Maxime Pelcat

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Pelcat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maxime Pelcat, 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 Maxime Pelcat Line = papers co-authored together Maxime Pelcat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201731
2 200925
3 201625
4 201516
5 201713
6 201712
7 202012
8 201210
9
Real-time GPU-based local stereo matching method
20138
10 20188
11 20177
12 20196
13 20166
14 20146
15 20176
16 20155
17 20205
18 20184
19 20224
20 20144

About Maxime Pelcat

Maxime Pelcat is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing, having authored 48 papers that have together received 251 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (22 papers), Parallel Computing and Optimization Techniques (13 papers), Interconnection Networks and Systems (12 papers), Video Coding and Compression Technologies (10 papers), CCD and CMOS Imaging Sensors (8 papers), Image and Video Quality Assessment (7 papers), Real-Time Systems Scheduling (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Hardware and Architecture (104 citations), Signal Processing (42 citations), Computer Networks and Communications (83 citations), Computer Vision and Pattern Recognition (74 citations) and Media Technology (19 citations). Maxime Pelcat has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Daniel Ménard, Jean-François Nezan, Slaheddine Aridhi, Karol Desnos, Wassim Hamidouche, Matthieu Wipliez, Rubén Salvador, Francesca Palumbo, Luigi Raffo and Daniel Madroñal. Their work appears in journals such as Journal of Systems Architecture, ACM Transactions on Embedded Computing Systems, IEEE Transactions on Network and Service Management, IEEE Transactions on Emerging Topics in Computing and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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