Milan Korda

2.7k total citations · 2 hit papers
38 papers, 1.5k citations indexed

About

Milan Korda is a scholar working on Control and Systems Engineering, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Milan Korda has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 19 papers in Numerical Analysis and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Milan Korda's work include Advanced Control Systems Optimization (20 papers), Advanced Optimization Algorithms Research (18 papers) and Model Reduction and Neural Networks (11 papers). Milan Korda is often cited by papers focused on Advanced Control Systems Optimization (20 papers), Advanced Optimization Algorithms Research (18 papers) and Model Reduction and Neural Networks (11 papers). Milan Korda collaborates with scholars based in France, Czechia and Switzerland. Milan Korda's co-authors include Igor Mezić, Didier Henrion, Colin N. Jones, Timm Faulwasser, Dominique Bonvin, Jiří Cigler, Jean B. Lasserre, Ravi Gondhalekar, Frauke Oldewurtel and Ján Široký and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Mathematical Programming.

In The Last Decade

Milan Korda

36 papers receiving 1.4k citations

Hit Papers

Linear predictors for non... 2017 2026 2020 2023 2018 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Korda France 13 848 706 289 256 173 38 1.5k
P.M. Mäkilä Finland 24 1.8k 2.1× 376 0.5× 242 0.8× 190 0.7× 195 1.1× 101 2.1k
Imad M. Jaimoukha United Kingdom 22 1.1k 1.3× 410 0.6× 142 0.5× 88 0.3× 295 1.7× 101 1.8k
Y. Shamash United States 19 1.0k 1.2× 660 0.9× 192 0.7× 70 0.3× 194 1.1× 97 1.6k
Wen‐Juan Lin China 20 701 0.8× 447 0.6× 194 0.7× 211 0.8× 30 0.2× 42 1.7k
C.A. Jacobson United States 20 1.3k 1.5× 261 0.4× 155 0.5× 391 1.5× 133 0.8× 59 1.6k
Tomomichi Hagiwara Japan 23 2.1k 2.4× 292 0.4× 144 0.5× 85 0.3× 226 1.3× 235 2.4k
Joost Rommes Netherlands 17 475 0.6× 701 1.0× 195 0.7× 190 0.7× 360 2.1× 34 1.3k
Andrzej Banaszuk United States 21 627 0.7× 458 0.6× 138 0.5× 638 2.5× 54 0.3× 103 1.5k
Dale Enns United States 20 2.0k 2.4× 526 0.7× 223 0.8× 208 0.8× 192 1.1× 51 2.6k
C. N. Nett United States 24 2.6k 3.1× 328 0.5× 261 0.9× 388 1.5× 259 1.5× 82 3.1k

Countries citing papers authored by Milan Korda

Since Specialization
Citations

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

Fields of papers citing papers by Milan Korda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Korda

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Korda. A scholar is included among the top collaborators of Milan Korda 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 Milan Korda. Milan Korda 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.
Guo, Y. P., Milan Korda, Ioannis G. Kevrekidis, & Qianxiao Li. (2025). Learning Parametric Koopman Decompositions for Prediction and Control. SIAM Journal on Applied Dynamical Systems. 24(1). 744–781. 1 indexed citations
2.
Korda, Milan, et al.. (2025). Dictionary-Free Koopman Model Predictive Control with Nonlinear Input Transformation. SIAM Journal on Applied Dynamical Systems. 24(1). 94–130. 2 indexed citations
3.
Henrion, Didier, et al.. (2025). Solving Unbounded Optimal Control Problems With the Moment-SOS Hierarchy. IEEE Control Systems Letters. 9. 288–293.
4.
Henrion, Didier, et al.. (2024). Symmetry reduction and recovery of trajectories of optimal control problems via measure relaxations. ESAIM Control Optimisation and Calculus of Variations. 30. 63–63.
5.
Korda, Milan, et al.. (2024). Convergence rates for sums-of-squares hierarchies with correlative sparsity. Mathematical Programming. 209(1-2). 435–473. 4 indexed citations
6.
Breschi, Valentina, et al.. (2023). Model-based and Koopman-based predictive control: a braking control systems comparison. IFAC-PapersOnLine. 56(3). 325–330. 1 indexed citations
7.
Henrion, Didier, et al.. (2023). Revisiting Semidefinite Programming Approaches to Options Pricing: Complexity and Computational Perspectives. INFORMS journal on computing. 35(2). 335–349. 1 indexed citations
8.
Korda, Milan, et al.. (2023). Exploiting ideal-sparsity in the generalized moment problem with application to matrix factorization ranks. Mathematical Programming. 205(1-2). 703–744. 2 indexed citations
9.
Korda, Milan, et al.. (2023). Controlled synchronization of coupled pendulums by Koopman Model Predictive Control. Control Engineering Practice. 139. 105629–105629. 5 indexed citations
10.
Henrion, Didier, Milan Korda, & Jean B. Lasserre. (2020). The Moment-SOS Hierarchy. HAL (Le Centre pour la Communication Scientifique Directe). 24 indexed citations
11.
Korda, Milan & Igor Mezić. (2018). Learning Koopman eigenfunctions for prediction and control: the transient case. arXiv (Cornell University). 3 indexed citations
12.
Korda, Milan & Colin N. Jones. (2017). Stability and performance verification of optimization-based controllers. Automatica. 78. 34–45. 13 indexed citations
13.
Korda, Milan & Igor Mezić. (2017). On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operator. Journal of Nonlinear Science. 28(2). 687–710. 216 indexed citations breakdown →
14.
Faulwasser, Timm, Milan Korda, Colin N. Jones, & Dominique Bonvin. (2017). On turnpike and dissipativity properties of continuous-time optimal control problems. Automatica. 81. 297–304. 68 indexed citations
15.
Korda, Milan. (2016). Moment-sum-of-squares hierarchies for set approximation and optimal control. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
16.
Korda, Milan & Colin N. Jones. (2014). Certification of fixed computation time first-order optimization-based controllers for a class of nonlinear dynamical systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 105. 3602–3608. 6 indexed citations
17.
Faulwasser, Timm, Milan Korda, Colin N. Jones, & Dominique Bonvin. (2014). Turnpike and dissipativity properties in dynamic real-time optimization and economic MPC. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 35 indexed citations
18.
Korda, Milan & Jiří Cigler. (2011). On 1-norm stochastic optimal control with bounded control inputs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 60–65. 2 indexed citations
19.
Korda, Milan, Ravi Gondhalekar, Jiří Cigler, & Frauke Oldewurtel. (2011). Strongly feasible stochastic model predictive control. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1245–1251. 31 indexed citations
20.
Korda, Milan. (2011). Stochastic Model Predictive Control. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026