Daniel Ménard

435 citations
22 papers · 253 indexed · h-index 10
Topics
Numerical Methods and Algorithms (8 papers)Digital Filter Design and Implementation (6 papers)Advanced Adaptive Filtering Techniques (4 papers)
Partner nations
FranceCanadaQatar

In The Last Decade

Daniel Ménard

21 papers receiving 239 citations

Peers

Daniel Ménard
Comparison fields: 5 of 42
  • Electrical and Electronic Engineering 97
  • Biomedical Engineering 94
  • Computer Networks and Communications 81
  • Computational Theory and Mathematics 63
  • Signal Processing 49
Replace V.A. Chouliaras with:
V.A. Chouliaras United Kingdom
John Grosspietsch United States
Shushan Qiao China
Vasileios Leon Greece
Fredrik Hekland Norway
Sandeep Kakde India
Tetsuya Fujie Japan
James D. Schoeffler United States
K. Masselos Greece
D. A. Geer
Daniel Ménard relative to V.A. Chouliaras United Kingdom V.A. Chouliaras's profile →
Citations per field
00.5×1.5×2.0×
V.A. Chouliaras · 1×
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-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
#WorkIndexed citations
1 12
2 23
3
High speed reconfigurable SWP operator for multimedia processing using redundant data representation
1
4
Energy reduction in wireless system by dynamic adaptation of the fixed-point specification
1
5 9
6 18
7
Noise model for Accuracy Constraint Determination in Fixed-Point Systems
1
8 17
9 15
10 1
11 4
12 8
13 34
14 11
15 3
16 1
17 1
18 6
19 13
20 2

About Daniel Ménard

Daniel Ménard is a scholar working on Hardware and Architecture, Signal Processing and Computational Theory and Mathematics, having authored 22 papers that have together received 253 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (8 papers), Digital Filter Design and Implementation (6 papers) and Advanced Adaptive Filtering Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (36 citations), Signal Processing (49 citations) and Computational Theory and Mathematics (63 citations). Daniel Ménard has collaborated with scholars based in France, Canada and Qatar. Frequent co-authors include Olivier Sentieys, Muhammad Mahtab Alam, Olivier Berder, Éric Tremblay, Nicolas Hervé, Romain Serizel, Elyes Ben Hamida, Alberto Bosio, Pascal Scalart and Nguyen Hai Nam. Their work appears in journals such as IEEE Access, Journal of Cellular Biochemistry and Frontiers in bioscience.

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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