Didier Maquin

3.7k citations
111 papers · 1.6k indexed · h-index 23
Topics
Fault Detection and Control Systems (78 papers)Control Systems and Identification (41 papers)Advanced Control Systems Optimization (40 papers)
Partner nations
FranceCanadaTunisia

In The Last Decade

Didier Maquin

107 papers receiving 1.5k citations

Peers

Didier Maquin
Comparison fields: 5 of 88
  • Control and Systems Engineering 1.2k
  • Artificial Intelligence 248
  • Computer Networks and Communications 156
  • Mechanical Engineering 146
  • Cognitive Neuroscience 125
Replace Zong Meng with:
Zong Meng China
Torbjörn Wigren Sweden
Pierre-Yves Glorennec France
Jinde Zheng China
Jerzy Baranowski Poland
Xianqiang Yang China
Wong Shaw Voon Malaysia
Arun K. Tangirala India
Roberto Guidorzi Italy
Didier Maquin relative to Zong Meng China Zong Meng's profile →
Citations per field
00.5×10×20×30×43×
Zong Meng · 1×
Citations per year

Countries citing papers authored by Didier Maquin

Since Specialization
Citations

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

Fields of papers citing papers by Didier Maquin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Maquin

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Maquin. A scholar is included among the top collaborators of Didier Maquin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Didier Maquin. Didier Maquin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 14
3 14
4 38
5 3
6 37
7 38
8 11
9 24
10 11
11 11
12 131
13
Design of an adaptive faults tolerant control: case of sensor faults
4
14 25
15 1
16 11
17 1
18 3
19 3
20 3

About Didier Maquin

Didier Maquin is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Analytical Chemistry, having authored 111 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (78 papers), Control Systems and Identification (41 papers) and Advanced Control Systems Optimization (40 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Statistics, Probability and Uncertainty (67 citations) and Signal Processing (100 citations). Didier Maquin has collaborated with scholars based in France, Canada and Tunisia. Frequent co-authors include José Ragot, Benoît Marx, Dalil Ichalal, Mohammed Chadli, Abdelkader Akhenak, Rodolfo Orjuela, Radu Ranta, Saïd Mammar, Gilles Mourot and Hugo Vélez‐Pérez. Their work appears in journals such as Automatica, Industrial & Engineering Chemistry Research and AIChE Journal.

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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