Gürdal Arslan

2.8k total citations · 1 hit paper
44 papers, 1.8k citations indexed

About

Gürdal Arslan is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Gürdal Arslan has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 12 papers in Control and Systems Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Gürdal Arslan's work include Game Theory and Applications (21 papers), Adaptive Control of Nonlinear Systems (10 papers) and Reinforcement Learning in Robotics (9 papers). Gürdal Arslan is often cited by papers focused on Game Theory and Applications (21 papers), Adaptive Control of Nonlinear Systems (10 papers) and Reinforcement Learning in Robotics (9 papers). Gürdal Arslan collaborates with scholars based in United States, Canada and United Kingdom. Gürdal Arslan's co-authors include Jeff S. Shamma, Jason R. Marden, Tamer Başar, H. Peyton Young, M.F. Demirkol, Serkan Kıvrak, Song Yang, Serdar Yüksel, Shie Mannor and Song Yang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Wireless Communications.

In The Last Decade

Gürdal Arslan

42 papers receiving 1.8k citations

Hit Papers

Cooperative Control and Potential Games 2009 2026 2014 2020 2009 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gürdal Arslan United States 17 886 773 330 328 269 44 1.8k
Dario Bauso Italy 19 646 0.7× 262 0.3× 69 0.2× 396 1.2× 160 0.6× 117 1.4k
Cédric Langbort United States 22 750 0.8× 206 0.3× 183 0.6× 1.1k 3.4× 209 0.8× 111 1.7k
Rachid El-Azouzi France 16 982 1.1× 271 0.4× 63 0.2× 95 0.3× 721 2.7× 98 1.6k
Nicola Gatti Italy 19 480 0.5× 469 0.6× 408 1.2× 98 0.3× 199 0.7× 154 1.4k
Stephan Eidenbenz United States 24 1.6k 1.7× 202 0.3× 321 1.0× 51 0.2× 333 1.2× 138 2.2k
Yichuan Jiang China 20 500 0.6× 214 0.3× 307 0.9× 66 0.2× 59 0.2× 92 1.4k
Ηλίας Κουτσουπιάς United States 22 972 1.1× 956 1.2× 219 0.7× 34 0.1× 93 0.3× 71 1.9k
Janusz Marecki United States 15 291 0.3× 231 0.3× 362 1.1× 149 0.5× 38 0.1× 38 993
Rob Powers United States 10 159 0.2× 269 0.3× 403 1.2× 72 0.2× 91 0.3× 11 789
Saswati Sarkar United States 23 1.2k 1.4× 181 0.2× 60 0.2× 55 0.2× 717 2.7× 93 1.5k

Countries citing papers authored by Gürdal Arslan

Since Specialization
Citations

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

Fields of papers citing papers by Gürdal Arslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gürdal Arslan

This figure shows the co-authorship network connecting the top 25 collaborators of Gürdal Arslan. A scholar is included among the top collaborators of Gürdal Arslan 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 Gürdal Arslan. Gürdal Arslan 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.
Arslan, Gürdal & Serdar Yüksel. (2023). Subjective Equilibria Under Beliefs of Exogenous Uncertainty for Dynamic Games. SIAM Journal on Control and Optimization. 61(3). 1038–1062. 1 indexed citations
2.
Arslan, Gürdal, et al.. (2019). Decentralized Q-Learning with Constant Aspirations in Stochastic Games. 4. 1744–1749.
3.
Arslan, Gürdal, et al.. (2019). Learning Team-Optimality for Decentralized Stochastic Control and Dynamic Games. 4 indexed citations
4.
Arslan, Gürdal & Serdar Yüksel. (2015). Decentralized Q-learning for weakly acyclic stochastic dynamic games. 6743–6748. 1 indexed citations
5.
Marden, Jason R., Gürdal Arslan, & Jeff S. Shamma. (2009). Cooperative Control and Potential Games. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(6). 1393–1407. 352 indexed citations breakdown →
6.
Marden, Jason R., H. Peyton Young, Gürdal Arslan, & Jeff S. Shamma. (2009). Payoff-Based Dynamics for Multiplayer Weakly Acyclic Games. SIAM Journal on Control and Optimization. 48(1). 373–396. 169 indexed citations
7.
Marden, Jason R., Gürdal Arslan, & Jeff S. Shamma. (2009). Joint Strategy Fictitious Play With Inertia for Potential Games. IEEE Transactions on Automatic Control. 54(2). 208–220. 214 indexed citations
8.
Marina, Ninoslav, Gürdal Arslan, & A. Kavcic. (2008). A power allocation game in a four node relay network: An upper bound on the worst-case equilibrium efficiency. 1–6. 2 indexed citations
9.
Arslan, Gürdal & Serkan Kıvrak. (2008). Critical Factors To Company Success In The Construction Industry. Zenodo (CERN European Organization for Nuclear Research). 46 indexed citations
10.
Marden, Jason R., Gürdal Arslan, & Jeff S. Shamma. (2007). Regret based dynamics. 1–8. 45 indexed citations
11.
Mannor, Shie, Jeff S. Shamma, & Gürdal Arslan. (2006). Online calibrated forecasts: Memory efficiency versus universality for learning in games. Machine Learning. 67(1-2). 77–115. 15 indexed citations
12.
Shamma, Jeff S. & Gürdal Arslan. (2005). Dynamic fictitious play, dynamic gradient play, and distributed convergence to Nash equilibria. IEEE Transactions on Automatic Control. 50(3). 312–327. 246 indexed citations
13.
Shamma, Jeff S. & Gürdal Arslan. (2004). Unified Convergence Proofs of Continuous-Time Fictitious Play. IEEE Transactions on Automatic Control. 49(7). 1137–1142. 39 indexed citations
14.
Arslan, Gürdal & Tamer Başar. (2003). Robust output tracking for strict-feedback systems using neural-net based approximators for nonlinearities. 3. 2987–2992. 2 indexed citations
15.
Arslan, Gürdal & Tamer Başar. (2003). Decentralized risk-sensitive controller design for strict-feedback systems. Systems & Control Letters. 50(5). 383–393. 37 indexed citations
16.
Arslan, Gürdal, et al.. (2002). Output-feedback control of stochastic strict-feedback systems under an exponential cost criterion. 3. 2450–2455. 4 indexed citations
17.
Arslan, Gürdal & Tamer Başar. (2002). Decentralized risk-sensitive controller design for strict-feedback systems. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 2 indexed citations
18.
Arslan, Gürdal & Tamer Başar. (2001). Disturbance attenuating controller design for strict-feedback systems with structurally unknown dynamics. Automatica. 37(8). 1175–1188. 33 indexed citations
19.
Arslan, Gürdal & Tamer Başar. (2000). Adaptive Control of Stochastic Strict-Feedback Systems Under a Risk-Sensitive Criterion. IFAC Proceedings Volumes. 33(15). 403–408. 3 indexed citations
20.
Arslan, Gürdal, et al.. (1997). Stability analysis of a fuzzy logic controller. 40. 3301–3305 vol.5. 11 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