J.P. Barbot

2.0k citations
69 papers · 1.5k · h-index 22

Impact in

    • Adaptive Control of Nonlinear Systems
    • Stability and Control of Uncertain Systems
    • Fault Detection and Control Systems
    • Advanced Control Systems Optimization
    • Blind Source Separation Techniques

Papers in

J.P. Barbot

69 papers receiving 1.5k citations

Peers

J.P. Barbot
Comparison fields: 5 of 74
  • Control and Systems Engineering 834
  • Signal Processing 186
  • Statistical and Nonlinear Physics 188
  • Computational Mechanics 308
  • Acoustics and Ultrasonics 12
Replace Li Xu with:
Li Xu Japan
P. Agathoklis Canada
Tohru Katayama Japan
Cristian R. Rojas Sweden
Mamadou Mboup France
Zhigang Ren China
Yili Xia China
Yacine Chitour France
Masaaki Nagahara Japan
P.M. Mäkilä Finland
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Countries citing papers authored by J.P. Barbot

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Barbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P. Barbot. 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 J.P. Barbot. The network helps show where J.P. Barbot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010179
2 2007171
3 2011149
4 2002102
5 200584
6 200449
7 201148
8 201745
9 201134
10 200333
11 200532
12 200231
13 201030
14 201429
15 200128
16 200826
17 200924
18 200623
19 200523
20 200422

About J.P. Barbot

J.P. Barbot is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (38 papers), Stability and Control of Uncertain Systems (13 papers), Chaos control and synchronization (12 papers), Advanced Control Systems Optimization (12 papers), Fault Detection and Control Systems (9 papers), Control Systems and Identification (8 papers), Sensorless Control of Electric Motors (8 papers) and Quantum chaos and dynamical systems (7 papers). The work is most often cited by research in Control and Systems Engineering (834 citations), Signal Processing (186 citations), Statistical and Nonlinear Physics (188 citations), Computational Mechanics (308 citations) and Acoustics and Ultrasonics (12 citations). J.P. Barbot has collaborated with scholars based in France, Algeria and Italy. Frequent co-authors include Thierry Floquet, Gang Zheng, Lei Yu, Hong Sun, Mohamed Djemaï, Taha Boukhobza, Driss Boutat, Malek Ghanes, Noureddine Manamanni and S. Monaco. Their work appears in journals such as Nonlinear Analysis, Mathematics of Control Signals and Systems, IEEE Transactions on Automatic Control, International Journal of Control and Nonlinear Analysis Hybrid Systems.

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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