Daniel Ménard

1.5k total citations
76 papers, 727 citations indexed

About

Daniel Ménard is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Ménard has authored 76 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Signal Processing, 35 papers in Computer Vision and Pattern Recognition and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Ménard's work include Video Coding and Compression Technologies (28 papers), Digital Filter Design and Implementation (20 papers) and Advanced Data Compression Techniques (18 papers). Daniel Ménard is often cited by papers focused on Video Coding and Compression Technologies (28 papers), Digital Filter Design and Implementation (20 papers) and Advanced Data Compression Techniques (18 papers). Daniel Ménard collaborates with scholars based in France, Finland and Spain. Daniel Ménard's co-authors include Olivier Sentieys, Wassim Hamidouche, Daniel Chillet, Alexandre Mercat, Cyril Bergeron, Jarno Vanne, Maxime Pelcat, Pascal Scalart, Olivier Déforges and Fernando Pescador and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and ACM Computing Surveys.

In The Last Decade

Daniel Ménard

69 papers receiving 697 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Ménard France 15 403 362 207 143 117 76 727
Julio Villalba Spain 14 338 0.8× 171 0.5× 238 1.1× 131 0.9× 406 3.5× 51 644
C. Chakrabarti United States 13 240 0.6× 237 0.7× 213 1.0× 211 1.5× 61 0.5× 44 589
Paulo Flores Portugal 15 404 1.0× 79 0.2× 372 1.8× 189 1.3× 360 3.1× 81 731
Ki-Il Kum South Korea 8 210 0.5× 57 0.2× 202 1.0× 253 1.8× 302 2.6× 9 541
Linda S. DeBrunner United States 10 290 0.7× 171 0.5× 127 0.6× 20 0.1× 99 0.8× 81 449
Ken Choi United States 14 125 0.3× 95 0.3× 530 2.6× 181 1.3× 61 0.5× 80 724
S.A. White United States 10 529 1.3× 223 0.6× 250 1.2× 77 0.5× 197 1.7× 27 757
Dionysios Reisis Greece 12 123 0.3× 188 0.5× 297 1.4× 197 1.4× 111 0.9× 81 695
Arda Yurdakul Türkiye 10 134 0.3× 60 0.2× 124 0.6× 99 0.7× 65 0.6× 38 471
Yin‐Tsung Hwang Taiwan 13 116 0.3× 132 0.4× 518 2.5× 109 0.8× 132 1.1× 99 785

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-authorship network of co-authors of Daniel Ménard

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ménard. A scholar is included among the top collaborators of Daniel Ménard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Ménard. Daniel Ménard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hamidouche, Wassim, et al.. (2025). Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?. SPIRE - Sciences Po Institutional REpository. 1–10.
2.
Hamidouche, Wassim, et al.. (2025). Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions. ACM Computing Surveys. 58(2). 1–48. 2 indexed citations
3.
Ménard, Daniel, et al.. (2025). Evaluating the Energy Impact of Different Dimensions of UHD. SMPTE Motion Imaging Journal. 134(4). 71–77.
4.
Ménard, Daniel, et al.. (2024). Low Complexity Learning-Based QTMTT Partitioning Scheme for Inter Coding in VVC Encoder. IEEE Access. 12. 141088–141103. 1 indexed citations
5.
Hamidouche, Wassim, et al.. (2023). Deep-Based Film Grain Removal and Synthesis. IEEE Transactions on Image Processing. 32. 5046–5059. 3 indexed citations
6.
Ménard, Daniel, et al.. (2023). Machine Learning Based Fast QTMTT Partitioning Strategy for VVenC Encoder in Intra Coding. Electronics. 12(6). 1338–1338. 5 indexed citations
7.
Viitanen, Marko, et al.. (2023). Open-Source Toolkit for Live End-to-End 4K VVC Intra Coding. SPIRE - Sciences Po Institutional REpository. 312–317. 3 indexed citations
8.
Hamidouche, Wassim, et al.. (2023). Complexity assessment of the intra prediction in Versatile Video Coding. Multimedia Tools and Applications. 82(18). 27751–27770. 1 indexed citations
9.
Hamidouche, Wassim, et al.. (2022). Hardware-Friendly Multiple Transform Selection Module for the VVC Standard. IEEE Transactions on Consumer Electronics. 68(2). 96–106. 8 indexed citations
10.
Hamidouche, Wassim, et al.. (2021). Lightweight Hardware Transform Design for the Versatile Video Coding 4K\n ASIC Decoders. arXiv (Cornell University). 12 indexed citations
11.
Vanne, Jarno, et al.. (2020). CNN Oriented Complexity Reduction Of VVC Intra Encoder. HAL (Le Centre pour la Communication Scientifique Directe). 3139–3143. 60 indexed citations
12.
Hamidouche, Wassim, et al.. (2020). Lightweight Hardware Implementation of VVC Transform Block for ASIC Decoder. 1663–1667. 19 indexed citations
13.
Mercat, Alexandre, et al.. (2018). Probabilistic Approach Versus Machine Learning for One-Shot Quad-Tree Prediction in an Intra HEVC Encoder. Journal of Signal Processing Systems. 91(9). 1021–1037. 4 indexed citations
14.
Ménard, Daniel, et al.. (2016). New evaluation scheme for software function approximation with non-uniform segmentation. HAL (Le Centre pour la Communication Scientifique Directe). 632–636. 1 indexed citations
15.
Casseau, Emmanuel, et al.. (2015). High Performance Discrete Cosine Transform Operator Using Multimedia Oriented Subword Parallelism. HAL (Le Centre pour la Communication Scientifique Directe). 2015. 1–10. 1 indexed citations
16.
Mercat, Alexandre, Jean-François Nezan, Daniel Ménard, & Jinglin Zhang. (2014). Implementation of a Stereo Matching algorithm onto a Manycore Embedded System. 2. 1296–1299. 5 indexed citations
17.
Ménard, Daniel, et al.. (2011). Novel algorithms for word-length optimization. European Signal Processing Conference. 1944–1948. 11 indexed citations
18.
Ménard, Daniel, et al.. (2010). Quantization mode opportunities in fixed-point system design. Lirias (KU Leuven). 542–546. 7 indexed citations
19.
Ménard, Daniel, et al.. (2010). Fast performance evaluation of fixed-point systems with un-smooth operators. International Conference on Computer Aided Design. 9–16. 4 indexed citations
20.
Ménard, Daniel, et al.. (2010). Shaping probability density function of quantization noise in fixed point systems. 5. 1675–1679. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Julio Villalba Breakdown of academic impact, for papers by C. Chakrabarti Breakdown of academic impact, for papers by Paulo Flores Breakdown of academic impact, for papers by Ki-Il Kum Breakdown of academic impact, for papers by Linda S. DeBrunner Breakdown of academic impact, for papers by Ken Choi Breakdown of academic impact, for papers by S.A. White Breakdown of academic impact, for papers by Dionysios Reisis Breakdown of academic impact, for papers by Arda Yurdakul Breakdown of academic impact, for papers by Yin‐Tsung Hwang
Rankless by CCL
2026