Luc Pronzato

4.7k total citations · 1 hit paper
121 papers, 3.0k citations indexed

About

Luc Pronzato is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Luc Pronzato has authored 121 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Management Science and Operations Research, 42 papers in Computational Theory and Mathematics and 35 papers in Control and Systems Engineering. Recurrent topics in Luc Pronzato's work include Optimal Experimental Design Methods (49 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Control Systems and Identification (33 papers). Luc Pronzato is often cited by papers focused on Optimal Experimental Design Methods (49 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Control Systems and Identification (33 papers). Luc Pronzato collaborates with scholars based in France, United Kingdom and Slovakia. Luc Pronzato's 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 and has published in prestigious journals such as Technometrics, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Luc Pronzato

119 papers receiving 2.8k citations

Hit Papers

Identification of parametric models : from experimental data 1997 2026 2006 2016 1997 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of parametric models : from experimental data
    1997 861 citations Éric Walter, Luc Pronzato profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luc Pronzato France 20 975 751 742 651 405 121 3.0k
V. V. Fedorov United States 7 435 0.4× 1.5k 2.0× 1.1k 1.5× 690 1.1× 498 1.2× 12 2.9k
R. Baker Kearfott United States 22 840 0.9× 326 0.4× 2.0k 2.7× 549 0.8× 558 1.4× 75 3.5k
Klaus Schittkowski Germany 23 1.1k 1.2× 228 0.3× 1.8k 2.4× 438 0.7× 561 1.4× 55 4.8k
A N Donev United Kingdom 13 232 0.2× 1.3k 1.7× 902 1.2× 447 0.7× 210 0.5× 30 2.3k
Agnes M. Herzberg United Kingdom 15 261 0.3× 1.2k 1.6× 796 1.1× 548 0.8× 307 0.8× 67 2.3k
Jon Lee United States 26 766 0.8× 276 0.4× 1.0k 1.4× 130 0.2× 453 1.1× 172 3.8k
Katya Scheinberg United States 26 443 0.5× 364 0.5× 1.1k 1.5× 171 0.3× 1.3k 3.2× 55 3.5k
Pu Li Germany 37 2.0k 2.1× 261 0.3× 227 0.3× 243 0.4× 188 0.5× 241 4.8k
Michael J. Cloud United States 14 442 0.5× 242 0.3× 692 0.9× 320 0.5× 300 0.7× 35 2.1k
Garth P. McCormick United States 23 1.6k 1.6× 375 0.5× 2.1k 2.9× 300 0.5× 433 1.1× 47 5.4k

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
1.
Pronzato, Luc, et al.. (2024). Weighted Leave-One-Out Cross Validation. SIAM/ASA Journal on Uncertainty Quantification. 12(4). 1213–1239.
2.
Pronzato, Luc, et al.. (2023). Discrimination between Gaussian process models: active learning and static constructions. Statistical Papers. 64(4). 1275–1304. 2 indexed citations
3.
Pronzato, Luc, et al.. (2023). Validation of Machine Learning Prediction Models. HAL (Le Centre pour la Communication Scientifique Directe). 394–414. 1 indexed citations
4.
Pronzato, Luc & Anatoly Zhigljavsky. (2023). BLUE against OLSE in the location model: energy minimization and asymptotic considerations. Statistical Papers. 64(4). 1187–1208. 1 indexed citations
5.
Pronzato, Luc, et al.. (2016). Bayesian Local Kriging. Technometrics. 59(3). 293–304. 6 indexed citations
6.
Leonenko, Nikolai & Luc Pronzato. (2010). Correction: A class of Rényi information estimators for multidimensional densities. The Annals of Statistics. 38(6). 9 indexed citations
7.
Leonenko, Nikolai, et al.. (2008). A class of Rényi information estimators for multidimensional densities. The Annals of Statistics. 36(5). 137 indexed citations
8.
Harman, Radoslav & Luc Pronzato. (2007). Improvements on removing non-optimal support points in D-optimum design algorithms. ArXiv.org. 3 indexed citations
9.
Harman, Radoslav & Luc Pronzato. (2006). Improvements on removing nonoptimal support points in -optimum design algorithms. Statistics & Probability Letters. 77(1). 90–94. 36 indexed citations
10.
Pronzato, Luc & Éric Thierry. (2003). Robust design with nonparametric models: prediction of second-order characteristics of process variability by kriging 1. IFAC Proceedings Volumes. 36(16). 537–542. 2 indexed citations
11.
Pronzato, Luc. (2002). ACCELERATION OF D-OPTIMUM DESIGN ALGORITHMS BY REMOVING NON-OPTIMAL SUPPORT POINTS. 92(8). 83507–83507. 1 indexed citations
12.
Pronzato, Luc & Éric Thierry. (2002). Sequential experimental design and response optimisation. Statistical Methods & Applications. 11(3). 277–292. 6 indexed citations
13.
Pronzato, Luc & Andrej Pázman. (2001). Using densities of estimators to compare pharmacokinetic experiments. Computers in Biology and Medicine. 31(3). 179–195. 2 indexed citations
14.
Pronzato, Luc, et al.. (1999). A comparison between Kriging and radial basis function networks for nonlinear prediction.. 726–730. 21 indexed citations
15.
Pronzato, Luc, et al.. (1999). Nonlinear filtering by kriging, with application to system inversion. 1313–1316 vol.3. 1 indexed citations
16.
17.
Pronzato, Luc. (1995). Dynamic systems in search and optimisation. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 8(3). 201–236. 3 indexed citations
18.
Kulcsár, Caroline, Luc Pronzato, & Éric Walter. (1994). Optimal experimental design and therapeutic drug monitoring. International Journal of Bio-Medical Computing. 36(1-2). 95–101. 9 indexed citations
19.
Walter, Éric & Luc Pronzato. (1994). Characterizing Sets Defined By Inequalities. IFAC Proceedings Volumes. 27(8). 325–336. 7 indexed citations
20.
Berthier, F., J.‐P. Diard, Luc Pronzato, & Éric Walter. (1994). Identifiability and Distinguishability Concepts in Electrochemistry. IFAC Proceedings Volumes. 27(8). 995–1000. 1 indexed citations

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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