Mathias Staudigl

600 total citations
37 papers, 294 citations indexed

About

Mathias Staudigl is a scholar working on Management Science and Operations Research, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Mathias Staudigl has authored 37 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 11 papers in Computational Mechanics and 10 papers in Artificial Intelligence. Recurrent topics in Mathias Staudigl's work include Game Theory and Applications (15 papers), Sparse and Compressive Sensing Techniques (11 papers) and Stochastic Gradient Optimization Techniques (9 papers). Mathias Staudigl is often cited by papers focused on Game Theory and Applications (15 papers), Sparse and Compressive Sensing Techniques (11 papers) and Stochastic Gradient Optimization Techniques (9 papers). Mathias Staudigl collaborates with scholars based in Netherlands, Germany and United States. Mathias Staudigl's co-authors include Tim Hellmann, Panayotis Mertikopoulos, Simon Weidenholzer, William H. Sandholm, Radu Ioan Boţ, Phan Tu Vuong, Sergio Grammatico, Sorin‐Mihai Grad, Drew Kouri and Dries Vermeulen and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and European Journal of Operational Research.

In The Last Decade

Mathias Staudigl

31 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Staudigl Netherlands 10 150 72 65 64 62 37 294
J. Aczél Canada 3 105 0.7× 62 0.9× 103 1.6× 26 0.4× 36 0.6× 3 390
Ioannis Panageas United States 5 40 0.3× 24 0.3× 14 0.2× 23 0.4× 23 0.4× 19 159
Pierre Tarrès France 10 58 0.4× 24 0.3× 10 0.2× 35 0.5× 26 0.4× 18 248
Fausto Cavalli Italy 9 72 0.5× 8 0.1× 218 3.4× 38 0.6× 26 0.4× 38 345
Maria Letizia Bertotti Italy 13 35 0.2× 28 0.4× 140 2.2× 223 3.5× 60 1.0× 45 445
Raúl Jiménez Spain 10 23 0.2× 28 0.4× 9 0.1× 33 0.5× 146 2.4× 31 300
Sascha Kurz Germany 11 130 0.9× 55 0.8× 173 2.7× 68 1.1× 23 0.4× 104 499
Srihari Govindan United States 11 337 2.2× 19 0.3× 252 3.9× 27 0.4× 27 0.4× 40 395
Julian Edward United States 9 17 0.1× 68 0.9× 58 0.9× 40 0.6× 5 0.1× 31 251
Joachim Rosenmüller Germany 9 199 1.3× 54 0.8× 196 3.0× 17 0.3× 11 0.2× 32 295

Countries citing papers authored by Mathias Staudigl

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Staudigl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Staudigl

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Staudigl. A scholar is included among the top collaborators of Mathias Staudigl 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 Mathias Staudigl. Mathias Staudigl 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.
Staudigl, Mathias, et al.. (2025). Tikhonov regularized exterior penalty methods for hierarchical variational inequalities. 7240–7245. 1 indexed citations
2.
Shanbhag, Uday V., et al.. (2025). A Regularized Variance-Reduced Modified Extragradient Method for Stochastic Hierarchical Games. Journal of Optimization Theory and Applications. 206(1).
3.
Dvurechensky, Pavel & Mathias Staudigl. (2024). Hessian barrier algorithms for non-convex conic optimization. Mathematical Programming. 209(1-2). 171–229.
4.
Staudigl, Mathias, et al.. (2024). Tikhonov Regularized Exterior Penalty Dynamics for Constrained Variational Inequalities. IEEE Control Systems Letters. 8. 622–627.
5.
Staudigl, Mathias, et al.. (2023). Random block-coordinate methods for inconsistent convex optimisation problems. SHILAP Revista de lepidopterología. 2023(1). 1 indexed citations
6.
Kouri, Drew, Mathias Staudigl, & Thomas M. Surowiec. (2023). A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints. Computational Optimization and Applications. 85(2). 441–478. 6 indexed citations
7.
Mertikopoulos, Panayotis, et al.. (2022). Multiagent Online Learning in Time-Varying Games. Mathematics of Operations Research. 48(2). 914–941. 8 indexed citations
8.
Oudjane, Nadia, et al.. (2022). A Privacy-preserving Decentralized Algorithm for Distribution Locational Marginal Prices. 2022 IEEE 61st Conference on Decision and Control (CDC). 4143–4148.
9.
Boţ, Radu Ioan, Panayotis Mertikopoulos, Mathias Staudigl, & Phan Tu Vuong. (2021). Minibatch Forward-Backward-Forward Methods for Solving Stochastic Variational Inequalities. Stochastic Systems. 11(2). 112–139. 23 indexed citations
10.
Staudigl, Mathias, et al.. (2021). Large deviations and Stochastic stability in Population Games. Journal of Dynamics and Games. 9(4). 569–595. 2 indexed citations
11.
Thong, Duong Viet, Aviv Gibali, Mathias Staudigl, & Phan Tu Vuong. (2020). Computing Dynamic User Equilibrium on Large-Scale Networks Without\n Knowing Global Parameters. arXiv (Cornell University). 5 indexed citations
12.
Boţ, Radu Ioan, et al.. (2020). Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure. Advances in Nonlinear Analysis. 10(1). 450–476. 19 indexed citations
13.
Mertikopoulos, Panayotis & Mathias Staudigl. (2018). Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities. Journal of Optimization Theory and Applications. 179(3). 838–867. 7 indexed citations
14.
Mertikopoulos, Panayotis & Mathias Staudigl. (2016). On the convergence of gradient-like flows with noisy gradient input. arXiv (Cornell University). 5 indexed citations
15.
Sandholm, William H. & Mathias Staudigl. (2016). Large deviations and stochastic stability in the small noise double limit. Theoretical Economics. 11(1). 279–355. 22 indexed citations
16.
Staudigl, Mathias, et al.. (2014). On Repeated Games with Imperfect Public Monitoring: From Discrete to Continuous Time. SSRN Electronic Journal. 2 indexed citations
17.
Sandholm, William H. & Mathias Staudigl. (2014). Large Deviations and Stochastic Stability in the Small Noise Double Limit, I: Theory. SSRN Electronic Journal. 1 indexed citations
18.
Staudigl, Mathias & Simon Weidenholzer. (2014). Constrained interactions and social coordination. Journal of Economic Theory. 152. 41–63. 31 indexed citations
19.
Staudigl, Mathias. (2011). Stochastic stability in binary choice coordination games. The Journal of Experimental Medicine. 203(4). 805–8. 1 indexed citations
20.
Staudigl, Mathias. (2010). Potential games in volatile environments. Games and Economic Behavior. 72(1). 271–287. 20 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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