Luc Pronzato

119 papers receiving 2.8k citations

Hit Papers

Identification of parametric models: from experimental data19972026200620161997250500750

Peers

Luc Pronzato
Comparison fields: 5 of 152
  • Control and Systems Engineering 975
  • Management Science and Operations Research 751
  • Computational Theory and Mathematics 742
  • Statistics, Probability and Uncertainty 651
  • Artificial Intelligence 405
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Michael J. Cloud United States
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R. Baker Kearfott United States
Donald Ylvisaker United States
Agnes M. Herzberg United Kingdom
Wei Li China
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A N Donev United Kingdom
Kai‐Tai Fang Hong Kong
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Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by Luc Pronzato

Since Specialization
Citations

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

Fields of papers citing papers by Luc Pronzato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Pronzato

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Pronzato. A scholar is included among the top collaborators of Luc Pronzato 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 Luc Pronzato. Luc Pronzato 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 2
3 1
4 1
5 6
6 9
7 137
8
Improvements on removing non-optimal support points in D-optimum design algorithms
3
9 36
10 2
11 1
12 6
13 2
14
A comparison between Kriging and radial basis function networks for nonlinear prediction.
21
15 1
16 1
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Dynamic systems in search and optimisation
3
18 9
19 7
20 1

About Luc Pronzato

Luc Pronzato is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability, having authored 121 papers that have together received 3.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (49 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Control Systems and Identification (33 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (651 citations), Management Science and Operations Research (751 citations) and Computational Theory and Mathematics (742 citations). Luc Pronzato has collaborated with scholars based in France, United Kingdom and Slovakia. Frequent co-authors include Éric Walter, Werner G. Müller, Andrej Pázman, Nikolai Leonenko, Anatoly Zhigljavsky, Éric Thierry, Alain Venot, Jean-François Lebruchec, Radoslav Harman and Caroline Kulcsár. Their work appears in journals such as Technometrics, IEEE Transactions on Automatic Control and Automatica.

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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2026