D. Theilliol

467 citations
22 papers · 327 · h-index 9

Impact in

Papers in

D. Theilliol

20 papers receiving 312 citations

Peers

D. Theilliol
Comparison fields: 5 of 34
  • Control and Systems Engineering 272
  • Computer Networks and Communications 49
  • Aerospace Engineering 50
  • Computer Vision and Pattern Recognition 34
  • Computational Theory and Mathematics 24
Replace Iman Sadeghzadeh with:
Iman Sadeghzadeh Canada
Cameron Fulford Canada
Jianbo Hu China
Remus C. Avram United States
Kunal Garg United States
Jin Jiang Canada
François Bateman France
Ching‐Fang Lin United States
A. Ramakrishna India
Liheng Chen China
D. Theilliol relative to Iman Sadeghzadeh Canada Iman Sadeghzadeh's profile →
Citations per field
00.5×1.5×2.1×
Iman Sadeghzadeh · 1×
Citations per year

Countries citing papers authored by D. Theilliol

Since Specialization
Citations

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

Fields of papers citing papers by D. Theilliol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2 201379
3 201716
4 201416
5 200613
6 201413
7 201611
8 200810
9 20128
10 20158
11 19977
12 20097
13 19977
14 20145
15 20025
16 20104
17 20103
18 20073
19 20092
20 19941

About D. Theilliol

D. Theilliol is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (17 papers), Advanced Control Systems Optimization (8 papers), Control Systems and Identification (7 papers), Stability and Control of Uncertain Systems (6 papers), Adaptive Control of Nonlinear Systems (4 papers), Distributed Control Multi-Agent Systems (3 papers), Robotic Path Planning Algorithms (3 papers) and Mineral Processing and Grinding (2 papers). The work is most often cited by research in Control and Systems Engineering (272 citations), Computer Networks and Communications (49 citations), Aerospace Engineering (50 citations), Computer Vision and Pattern Recognition (34 citations) and Computational Theory and Mathematics (24 citations). D. Theilliol has collaborated with scholars based in France, Mexico and Canada. Frequent co-authors include Mickaël Rodrigues, Naceur Benhadj Braïek, Habib Hamdi, Chokri Mechmeche, Youmin Zhang, Abbas Chamseddine, C.A. Rabbath, Cédric Join, Laurent Ciarletta and Adel Belkadi. Their work appears in journals such as International Journal of Adaptive Control and Signal Processing, International Journal of Applied Mathematics and Computer Science, Electric Power Systems Research, Neurocomputing and Asian Journal of Control.

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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