Maxime Colas

22 papers receiving 389 citations

Peers

Maxime Colas
Comparison fields: 5 of 44
  • Signal Processing 148
  • Analytical Chemistry 89
  • Control and Systems Engineering 156
  • Statistical and Nonlinear Physics 74
  • Computer Networks and Communications 109
Replace Guillaume Gellé with:
Guillaume Gellé France
Alper Tunga Erdogan Türkiye
Masahide Abe Japan
B. Baykal Türkiye
Panos Koukoulas Greece
F.J. González-Serrano Spain
H.H. Loomis United States
Oguz Tanrikulu United Kingdom
Chao-Chee Ku United States
Gang Cheng China
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200192
2 200380
3 200068
4 200739
5 200335
6 199634
7 200214
8 20059
9 20057
10 20136
11 20086
12 20075
13
On Belief Propagation Decoding of LDPC Codes over Groups
20064
14 20044
15 20023
16 20013
17 20032
18 20032
19 20031
20 20021

About Maxime Colas

Maxime Colas is a scholar working on Signal Processing, Analytical Chemistry, Control and Systems Engineering, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 24 papers that have together received 418 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (8 papers), Spectroscopy and Chemometric Analyses (6 papers), Machine Fault Diagnosis Techniques (6 papers), Advanced Wireless Communication Techniques (6 papers), Chaos control and synchronization (4 papers), PAPR reduction in OFDM (4 papers), Topological and Geometric Data Analysis (3 papers) and Error Correcting Code Techniques (2 papers). The work is most often cited by research in Signal Processing (148 citations), Analytical Chemistry (89 citations), Control and Systems Engineering (156 citations), Statistical and Nonlinear Physics (74 citations) and Computer Networks and Communications (109 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 Patrick R. Trischitta. Their work appears in journals such as IEEE Communications Magazine, Journal of Sound and Vibration, IEEE Transactions on Communications, Chaos Solitons & Fractals and Mechanical Systems and Signal Processing.

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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