Éric Plourde

410 citations
33 papers · 301 · h-index 10

Impact in

Papers in

Éric Plourde

31 papers receiving 288 citations

Peers

Éric Plourde
Comparison fields: 5 of 54
  • Signal Processing 243
  • Computational Mechanics 158
  • Cognitive Neuroscience 89
  • Developmental Biology 5
  • Artificial Intelligence 65
Replace Soumitro Chakrabarty with:
Soumitro Chakrabarty Germany
F. Jabloun Canada
Renhua Peng China
Zhaozhang Jin United States
Deepak Baby Belgium
P. Satyanarayana Murthy India
Benjamin J. Shannon Australia
Buye Xu United States
Martin Krawczyk Germany
Guoning Hu United States
Éric Plourde relative to Soumitro Chakrabarty Germany Soumitro Chakrabarty's profile →
Citations per field
00.5×11×
Soumitro Chakrabarty · 1×
Citations per year

Countries citing papers authored by Éric Plourde

Since Specialization
Citations

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

Fields of papers citing papers by Éric Plourde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Éric Plourde, 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 Éric Plourde Line = papers co-authored together Éric Plourde links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201671
2 200843
3 200919
4 202218
5 201118
6 201615
7 202113
8 201612
9 20119
10 20189
11 20169
12 20208
13 20078
14
Bayesian short-time spectral amplitude estimators for single-channel speech enhancement
20095
15 20145
16 20085
17 20235
18 20074
19 20183
20 20163

About Éric Plourde

Éric Plourde is a scholar working on Signal Processing, Computational Mechanics, Cognitive Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering, having authored 33 papers that have together received 301 indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Advanced Adaptive Filtering Techniques (21 papers), Blind Source Separation Techniques (15 papers), Hearing Loss and Rehabilitation (9 papers), Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (3 papers), Neuroscience and Neural Engineering (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Signal Processing (243 citations), Computational Mechanics (158 citations), Cognitive Neuroscience (89 citations), Developmental Biology (5 citations) and Artificial Intelligence (65 citations). Éric Plourde has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Benoı̂t Champagne, Wei‐Ping Zhu, Jean Rouat, Emery N. Brown, Bertrand Delgutte, Sean U. N. Wood, Stéphane Molotchnikoff, Kevin Whittingstall, Roland Badeau and Taesup Kim. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters, Neurocomputing, IEEE Circuits and Systems Magazine and Speech Communication.

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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