Maxime Pelcat

57 papers receiving 346 citations

Peers

Maxime Pelcat
Comparison fields: 5 of 51
  • Hardware and Architecture 152
  • Computer Networks and Communications 125
  • Signal Processing 51
  • Computer Vision and Pattern Recognition 93
  • Software 11
Replace Jenq‐Kuen Lee with:
Jenq‐Kuen Lee Taiwan
Peter Bellows United States
Sunil Shukla United States
Jack Jean United States
M. Chawathe United States
Richard Membarth Germany
Nathan Pemberton United States
Sameh Asaad United States
Gilles Grimaud France
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Citations per field
00.5×3.7×
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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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200932
2 201732
3 201627
4 202018
5 201516
6 201215
7 201715
8 201713
9 201213
10 202012
11 201911
12 201711
13
Real-time GPU-based local stereo matching method
20138
14 20168
15 20148
16 20188
17 20177
18 20196
19 20156
20 20166

About Maxime Pelcat

Maxime Pelcat is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 60 papers that have together received 353 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (29 papers), Parallel Computing and Optimization Techniques (18 papers), Interconnection Networks and Systems (15 papers), Video Coding and Compression Technologies (10 papers), CCD and CMOS Imaging Sensors (8 papers), Real-Time Systems Scheduling (7 papers), Image and Video Quality Assessment (7 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Hardware and Architecture (152 citations), Computer Networks and Communications (125 citations), Signal Processing (51 citations), Computer Vision and Pattern Recognition (93 citations) and Software (11 citations). Maxime Pelcat has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Jean-François Nezan, Slaheddine Aridhi, Daniel Ménard, Karol Desnos, François Berry, Luigi Raffo, Francesca Palumbo, Matthieu Wipliez, Wassim Hamidouche and Rubén Salvador. 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 Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Emerging Topics in Computing.

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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