Maxime Colas

19 papers receiving 349 citations

Peers

Maxime Colas
Comparison fields: 5 of 43
  • Signal Processing 144
  • Analytical Chemistry 87
  • Control and Systems Engineering 152
  • Statistical and Nonlinear Physics 70
  • Computer Networks and Communications 91
Replace Guillaume Gellé with:
Guillaume Gellé France
Alper T. Erdoğan Türkiye
Masahide Abe Japan
P. Koukoulas Greece
B. Baykal Türkiye
F.J. González-Serrano Spain
O. Tanrıkulu United Kingdom
X.-G. Xia United States
Setsuo Sagara Japan
Chao-Chee Ku United States
Maxime Colas relative to Guillaume Gellé France Guillaume Gellé's profile →
Citations per field
00.5×1.5×
Guillaume Gellé · 1×
Citations per year

Countries citing papers authored by Maxime Colas

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Colas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Maxime Colas, 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 Maxime Colas Line = papers co-authored together Maxime Colas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200189
2 200377
3 200066
4 200334
5 200730
6 199624
7 200213
8 20058
9 20057
10 20075
11 20085
12 20044
13 20013
14 20023
15 20133
16
On Belief Propagation Decoding of LDPC Codes over Groups
20062
17 20032
18 20032
19 20031
20 20021

About Maxime Colas

Maxime Colas is a scholar working on Signal Processing, Control and Systems Engineering, Electrical and Electronic Engineering, Analytical Chemistry and Computer Networks and Communications, having authored 21 papers that have together received 379 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (8 papers), Spectroscopy and Chemometric Analyses (6 papers), Advanced Wireless Communication Techniques (6 papers), Machine Fault Diagnosis Techniques (6 papers), PAPR reduction in OFDM (4 papers), Chaos control and synchronization (4 papers), Cooperative Communication and Network Coding (2 papers) and Error Correcting Code Techniques (2 papers). The work is most often cited by research in Signal Processing (144 citations), Analytical Chemistry (87 citations), Control and Systems Engineering (152 citations), Statistical and Nonlinear Physics (70 citations) and Computer Networks and Communications (91 citations). Maxime Colas has collaborated with scholars based in France and United States. Frequent co-authors include Guillaume Gellé, Christine Servière, Bruno Robert, Moez Feki, David Declercq, Alban Goupil and P.R. Trischitta. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, Journal of Sound and Vibration, Mechanical Systems and Signal Processing, Digital Signal Processing and IEEE Signal Processing Letters.

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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