José Ragot

5.8k citations
212 papers · 3.0k indexed · h-index 31

Impact in

Papers in

José Ragot

202 papers receiving 2.8k citations

Peers

José Ragot
Comparison fields: 5 of 96
  • Control and Systems Engineering 2.6k
  • Statistics, Probability and Uncertainty 177
  • Analytical Chemistry 156
  • Artificial Intelligence 488
  • Computational Mathematics 8
Replace Xiaochen Xie with:
Xiaochen Xie China
Lei Xie China
Paul M. Frank Germany
Donghua Zhou China
Karim Salahshoor Iran
Sachin C. Patwardhan India
Pierre-Yves Glorennec France
Xihui Liang Canada
Didier Maquin France
Junsheng Cheng China
José Ragot relative to Xiaochen Xie China Xiaochen Xie's profile →
Citations per field
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Citations per year

Countries citing papers authored by José Ragot

Since Specialization
Citations

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

Fields of papers citing papers by José Ragot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 201714
3 20163
4 201519
5 20134
6 201338
7 201316
8 201311
9 201324
10 20121
11 201254
12 201214
13 20062
14 2006114
15 20051
16 20041
17
Identification of switching systems using change detection technique in the subspace framework
200423
18 19983
19 19966
20
Data validation in large scale steady state linear systems
19872

About José Ragot

José Ragot is a scholar working on Control and Systems Engineering, Computational Mathematics, Statistics, Probability and Uncertainty, Analytical Chemistry and Statistical and Nonlinear Physics, having authored 212 papers that have together received 3.0k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (144 papers), Control Systems and Identification (92 papers), Advanced Control Systems Optimization (74 papers), Stability and Control of Uncertain Systems (51 papers), Adaptive Control of Nonlinear Systems (31 papers), Mineral Processing and Grinding (24 papers), Spectroscopy and Chemometric Analyses (15 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). The work is most often cited by research in Control and Systems Engineering (2.6k citations), Statistics, Probability and Uncertainty (177 citations), Analytical Chemistry (156 citations), Artificial Intelligence (488 citations) and Computational Mathematics (8 citations). José Ragot has collaborated with scholars based in France, Tunisia and Luxembourg. Frequent co-authors include Didier Maquin, Benoît Marx, Gilles Mourot, Dalil Ichalal, Mohammed Chadli, Abdelkader Akhenak, Tarek Garna, Mohamed Faouzi Harkat, D. Koenig and Frédéric Kratz. Their work appears in journals such as International Journal of Applied Mathematics and Computer Science, International Journal of Systems Science, International Journal of Control, Journal of the Franklin Institute and ISA Transactions.

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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