Ufuk Topcu

10.0k total citations · 2 hit papers
269 papers, 5.8k citations indexed

About

Ufuk Topcu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ufuk Topcu has authored 269 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Computational Theory and Mathematics, 105 papers in Artificial Intelligence and 81 papers in Control and Systems Engineering. Recurrent topics in Ufuk Topcu's work include Formal Methods in Verification (93 papers), Reinforcement Learning in Robotics (39 papers) and Advanced Control Systems Optimization (29 papers). Ufuk Topcu is often cited by papers focused on Formal Methods in Verification (93 papers), Reinforcement Learning in Robotics (39 papers) and Advanced Control Systems Optimization (29 papers). Ufuk Topcu collaborates with scholars based in United States, Germany and Netherlands. Ufuk Topcu's co-authors include Steven H. Low, Richard M. Murray, Lingwen Gan, Tichakorn Wongpiromsarn, Dennice F. Gayme, Changhong Zhao, Andrew Packard, Na Li, Peter Seiler and Eric M. Wolff and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Ufuk Topcu

250 papers receiving 5.6k citations

Hit Papers

align trajectories

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.

Optimal decentralized protocol for electric vehicle charging

2013 714 citations Ufuk Topcu et al. profile →
Design and Stability of Load-Side Primary Frequency Control in Power Systems

2014 335 citations Ufuk Topcu et al. IEEE Transactions on Automatic Control profile →

Peers

Ufuk Topcu

EEE

CSE

CTM

AI

AE

Xenofon Koutsoukos United States

Rong Su Singapore

Zhiqiang Zuo China

Jonathan Sprinkle United States

Dimos V. Dimarogonas Sweden

Samarjit Chakraborty Germany

Ümi̇t Özgüner United States

Hado van Hasselt United Kingdom

Jonathan J. Hunt United States

Antonello Monti Germany

Xenofon Koutsoukos United States

Ufuk Topcu

1.0k ×0.4

EEE

1.9k ×0.9

CSE

659 ×0.4

CTM

1.2k ×1.0

AI

164 ×0.2

AE

Citations per year, relative to Ufuk Topcu Ufuk Topcu (= 1×) peers Xenofon Koutsoukos

Countries citing papers authored by Ufuk Topcu

Since Specialization

Citations

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

Fields of papers citing papers by Ufuk Topcu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ufuk Topcu

This figure shows the co-authorship network connecting the top 25 collaborators of Ufuk Topcu. A scholar is included among the top collaborators of Ufuk Topcu 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 Ufuk Topcu. Ufuk Topcu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Duan, Xiaoming, et al.. (2025). On the detection of Markov decision processes. Automatica. 175. 112196–112196.

2.

Somer‐Topcu, Zeynep, et al.. (2025). How media competition fuels the spread of misinformation. Science Advances. 11(25). eadu7743–eadu7743.

3.

Clarke, John-Paul, et al.. (2024). Risk-aware urban air mobility network design with overflow redundancy. Transportation Research Part B Methodological. 185. 102967–102967. 7 indexed citations

4.

Yu, Yue, et al.. (2024). Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria. IEEE Control Systems Letters. 8. 1637–1642.

5.

Topcu, Ufuk, et al.. (2024). A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. 4349–4355. 1 indexed citations

6.

Yu, Yue, et al.. (2024). Noise-aware and equitable urban air traffic management: An optimization approach. Transportation Research Part C Emerging Technologies. 165. 104740–104740. 5 indexed citations

7.

Yu, Yue, et al.. (2023). Dynamic Routing in Stochastic Urban Air Mobility Networks: A Markov Decision Process Approach. IFAC-PapersOnLine. 56(2). 10760–10767. 2 indexed citations

8.

Tanaka, Takashi, et al.. (2023). Simultaneous perception–action design via invariant finite belief sets. Automatica. 155. 111140–111140.

9.

Topcu, Ufuk, et al.. (2023). Trajectory Synthesis for the Coordinated Inspection of a Spacecraft with Safety Guarantees. Journal of Guidance Control and Dynamics. 46(12). 2245–2264. 6 indexed citations

10.

Xu, Zhe, et al.. (2023). Controller Synthesis for Multi-Agent Systems With Intermittent Communication and Metric Temporal Logic Specifications. IEEE Access. 11. 91324–91335. 3 indexed citations

11.

Jansen, Nils, et al.. (2022). Experiments for 'Scenario-Based Verification of Uncertain Parametric MDPs'. Data Archiving and Networked Services (DANS). 6 indexed citations

12.

Yu, Yue, et al.. (2022). Extrapolated Proportional-Integral Projected Gradient Method for Conic Optimization. IEEE Control Systems Letters. 7. 73–78. 11 indexed citations

13.

Xu, Zhe, et al.. (2021). Reward Machines for Cooperative Multi-Agent Reinforcement Learning. arXiv (Cornell University). 934–942. 1 indexed citations

14.

Amato, Christopher, et al.. (2021). Safe Multi-Agent Reinforcement Learning via Shielding. arXiv (Cornell University). 483–491.

15.

Topcu, Ufuk, et al.. (2021). Deception in Supervisory Control. IEEE Transactions on Automatic Control. 67(2). 738–753. 14 indexed citations

16.

Neider, Daniel, et al.. (2021). Uncertainty-Aware Signal Temporal logic.. arXiv (Cornell University). 1 indexed citations

17.

Xu, Zhe, et al.. (2020). Policy Synthesis for Factored MDPs with Graph Temporal Logic Specifications. Adaptive Agents and Multi-Agents Systems. 267–275. 1 indexed citations

18.

Wu, Bo, et al.. (2019). Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes. 1216–1223. 4 indexed citations

19.

Han, Shuo, Ufuk Topcu, & George J. Pappas. (2015). An approximately truthful mechanism for electric vehicle charging via joint differential privacy. 2469–2475. 7 indexed citations

20.

Wongpiromsarn, Tichakorn, Ufuk Topcu, & Richard M. Murray. (2010). Automatic Synthesis of Robust Embedded Control Software. National Conference on Artificial Intelligence. 19 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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