F. Lamarche

100 papers receiving 4.4k citations

F. Lamarche's Hit Papers

A review of classification algorithms for EEG-based brain–computer interfaces 2007 · 2.1k citations
2.1k0+6+12Years since publication50010001.5k2.0k

Peers

F. Lamarche
Comparison fields: 5 of 166
  • Cognitive Neuroscience 1.9k
  • Human-Computer Interaction 380
  • Signal Processing 521
  • Water Science and Technology 623
  • Cellular and Molecular Neuroscience 710
Replace Jungwoo Lee with:
Jungwoo Lee South Korea
Kevin Chen United States
Mohd Nasir Taib Malaysia
Sung Ho Cho South Korea
Shaomin Zhang China
Peng Chen China
Ivo Provazník Czechia
Jeong Hoon Lee South Korea
Xiaojun Guo China
Guang Li China
F. Lamarche relative to Jungwoo Lee South Korea Jungwoo Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by F. Lamarche

Since Specialization
Citations

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

Fields of papers citing papers by F. Lamarche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of classification algorithms for EEG-based brain–computer interfaces
Hit paper breakdown →
20072100
2 1998189
3 2007146
4 2011137
5 2011105
6 200879
7 199962
8 200659
9 200153
10 199049
11 200745
12 200944
13 200542
14 200042
15 199840
16 201640
17 200040
18 200439
19 198738
20 199237

About F. Lamarche

F. Lamarche is a scholar working on Biomedical Engineering, Food Science, Artificial Intelligence, Computational Theory and Mathematics and Biotechnology, having authored 103 papers that have together received 4.6k indexed citations. Recurring topics across this work include Membrane-based Ion Separation Techniques (20 papers), Proteins in Food Systems (19 papers), Logic, programming, and type systems (15 papers), Microbial Inactivation Methods (14 papers), Logic, Reasoning, and Knowledge (13 papers), Advanced Algebra and Logic (10 papers), Particle Detector Development and Performance (10 papers) and High-Energy Particle Collisions Research (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Human-Computer Interaction (380 citations), Signal Processing (521 citations), Water Science and Technology (623 citations) and Cellular and Molecular Neuroscience (710 citations). F. Lamarche has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Bruno Arnaldi, Fabien Lotte, Marco Congedo, A. Lécuyer, Denis Ippersiel, Martin Mondor, Laurent Bazinet, L. Masse, Jean Amiot and Joseph Makhlouf. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Innovative Food Science & Emerging Technologies, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Membrane Science and Physics Letters B.

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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