F. Lamarche

95 papers receiving 3.9k citations

F. Lamarche's Hit Papers

A review of classification algorithms for EEG-based brain–computer interfaces 2007 · 1.8k citations
1.8k0+6+12Years since publication50010001.5k

Peers

F. Lamarche
Comparison fields: 5 of 163
  • Cognitive Neuroscience 1.7k
  • Human-Computer Interaction 318
  • Signal Processing 451
  • Water Science and Technology 551
  • Cellular and Molecular Neuroscience 621
Replace Jungwoo Lee with:
Jungwoo Lee South Korea
Mohd Nasir Taib Malaysia
Shaomin Zhang China
Sung Ho Cho South Korea
Peng Chen China
Ivo Provazník Czechia
Jeong Hoon Lee South Korea
Xiaojun Guo China
H. Troy Nagle United States
Hadi Heidari United Kingdom
F. Lamarche relative to Jungwoo Lee South Korea Jungwoo Lee's profile →
Citations per field
00.5×6.7×
Jungwoo Lee · 1×
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 99 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 →
20071845
2 1998169
3 2007139
4 2011131
5 201196
6 200873
7 199957
8 200652
9 200151
10 199047
11 200745
12 200042
13 199840
14 201640
15 200539
16 200039
17 199237
18 200937
19 200436
20 200735

About F. Lamarche

F. Lamarche is a scholar working on Biomedical Engineering, Food Science, Artificial Intelligence, Biotechnology and Nuclear and High Energy Physics, having authored 99 papers that have together received 4.0k indexed citations. Recurring topics across this work include Proteins in Food Systems (19 papers), Membrane-based Ion Separation Techniques (19 papers), Microbial Inactivation Methods (14 papers), Logic, programming, and type systems (13 papers), Logic, Reasoning, and Knowledge (11 papers), Particle Detector Development and Performance (10 papers), Advanced Algebra and Logic (9 papers) and High-Energy Particle Collisions Research (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Human-Computer Interaction (318 citations), Signal Processing (451 citations), Water Science and Technology (551 citations) and Cellular and Molecular Neuroscience (621 citations). F. Lamarche has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Marco Congedo, A. Lécuyer, Bruno Arnaldi, Fabien Lotte, 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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