J.P. Barbot
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 5%
- Aerospace Engineering
- Co-authors
- Driss BoutatMohamed DjemaïS. MonacoD. Normand‐CyrotGang ZhengThierry FloquetJean‐Pierre RossiCarlos Canudas de Wit
- Topics
- Adaptive Control of Nonlinear Systems (27 papers)Chaos control and synchronization (11 papers)Nonlinear Dynamics and Pattern Formation (9 papers)
- Cited by
- Control and Systems EngineeringStatistical and Nonlinear PhysicsComputer Networks and Communications
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Signal ProcessingIEEE Transactions on Antennas and Propagation
- Partner nations
- FranceItalyUnited States
In The Last Decade
J.P. Barbot
61 papers receiving 652 citations
Peers
Comparison fields: 5 of 50
- Control and Systems Engineering 384
- Electrical and Electronic Engineering 281
- Computer Networks and Communications 130
- Statistical and Nonlinear Physics 96
- Aerospace Engineering 57
Countries citing papers authored by J.P. Barbot
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
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-authorship network of co-authors of J.P. Barbot
This figure shows the co-authorship network connecting the top 25 collaborators of J.P. Barbot. A scholar is included among the top collaborators of J.P. Barbot 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 J.P. Barbot. J.P. Barbot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 16 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 23 | |
| 14 | 78 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 25 | |
| 19 | 4 | |
| 20 | 2 |
About J.P. Barbot
J.P. Barbot is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Signal Processing, having authored 65 papers that have together received 685 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (27 papers), Chaos control and synchronization (11 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). The work is most often cited by research in Control and Systems Engineering (384 citations), Statistical and Nonlinear Physics (96 citations) and Computer Networks and Communications (130 citations). J.P. Barbot has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Driss Boutat, Mohamed Djemaï, S. Monaco, D. Normand‐Cyrot, Gang Zheng, Thierry Floquet, Jean‐Pierre Rossi, Carlos Canudas de Wit, Philippe Martin and A. Lévy. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and IEEE Transactions on Antennas and Propagation.
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.