Daniel Ménard

1.5k citations
76 papers · 727 · h-index 15

Impact in

Papers in

Daniel Ménard

69 papers receiving 697 citations

Peers

Daniel Ménard
Comparison fields: 5 of 45
  • Signal Processing 403
  • Hardware and Architecture 143
  • Computer Vision and Pattern Recognition 362
  • Computational Theory and Mathematics 117
  • Electrical and Electronic Engineering 207
Replace Ken Choi with:
Ken Choi United States
Yin‐Tsung Hwang Taiwan
Dionysios Reisis Greece
Julio Villalba Spain
C. Chakrabarti United States
S.A. White United States
Linda S. DeBrunner United States
Ki-Il Kum South Korea
Arda Yurdakul Türkiye
Patricio Bulić Slovenia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Ménard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ménard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 202060
3 200652
4 200840
5 200238
6 202234
7 201625
8 202324
9 201121
10 201220
11 202019
12 201918
13 202217
14 200716
15 201516
16 200213
17 202112
18 201712
19
Novel algorithms for word-length optimization
201111
20 201010

About Daniel Ménard

Daniel Ménard is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture and Computational Theory and Mathematics, having authored 76 papers that have together received 727 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (28 papers), Digital Filter Design and Implementation (20 papers), Advanced Data Compression Techniques (18 papers), Numerical Methods and Algorithms (15 papers), Advanced Vision and Imaging (14 papers), Embedded Systems Design Techniques (12 papers), Image and Video Quality Assessment (11 papers) and Advanced Adaptive Filtering Techniques (11 papers). The work is most often cited by research in Signal Processing (403 citations), Hardware and Architecture (143 citations), Computer Vision and Pattern Recognition (362 citations), Computational Theory and Mathematics (117 citations) and Electrical and Electronic Engineering (207 citations). Daniel Ménard has collaborated with scholars based in France, Finland and United States. Frequent co-authors include Olivier Sentieys, Wassim Hamidouche, Daniel Chillet, Alexandre Mercat, Cyril Bergeron, Jarno Vanne, Maxime Pelcat, Pascal Scalart, Olivier Déforges and Fernando Pescador. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Electronics, IEEE Transactions on Image Processing, IEEE Transactions on Circuits & Systems II Express Briefs and IEEE Access.

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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