Eric Debes

537 citations
27 papers · 370 · h-index 10

Impact in

Papers in

Eric Debes

25 papers receiving 339 citations

Peers

Eric Debes
Comparison fields: 5 of 40
  • Hardware and Architecture 247
  • Computer Networks and Communications 191
  • Computer Vision and Pattern Recognition 101
  • Signal Processing 41
  • Media Technology 26
Replace Juan Fernández with:
Juan Fernández Spain
E.G.T. Jaspers Netherlands
K. Masselos Greece
Andrew G. Schmidt United States
D. A. Geer
S. Weitzel United States
N.L. Passos United States
Sylvain Pasini Switzerland
Chencheng Ye China
Wenming Li China
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Citations per field
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Citations per year

Countries citing papers authored by Eric Debes

Since Specialization
Citations

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

Fields of papers citing papers by Eric Debes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Eric Debes, 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 Eric Debes Line = papers co-authored together Eric Debes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006120
2 199860
3 200445
4 200521
5 200319
6 200716
7 200711
8 200311
9 200810
10 20119
11 20039
12
Comparing the Energy Efficiency of CMP and SMT Architectures for Multimedia Workloads
20038
13
The ALPBench Benchmark Suite for Multimedia Applications
20057
14 20025
15 20034
16 20043
17 20052
18 20012
19
About Macroblock Subsampling for Motion Estimation
20011
20 20031

About Eric Debes

Eric Debes is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 27 papers that have together received 370 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Embedded Systems Design Techniques (13 papers), Video Coding and Compression Technologies (9 papers), Interconnection Networks and Systems (8 papers), Advanced Vision and Imaging (5 papers), Advanced Data Compression Techniques (3 papers), Multimedia Communication and Technology (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Hardware and Architecture (247 citations), Computer Networks and Communications (191 citations), Computer Vision and Pattern Recognition (101 citations), Signal Processing (41 citations) and Media Technology (26 citations). Eric Debes has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Yen-Kuang Chen, Ruchira Sasanka, Sarita V. Adve, Christoph Busch, Man-Lap Li, I. Kozintsev, Bruce Jacob, Matthew J. Holliman, Paul Klein and M. Kunt. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, Optics Letters, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Architecture and Code Optimization and The Journal of VLSI Signal Processing Systems for Signal Image and Video 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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