Ufuk Topcu
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 1%
- Automotive Engineering top 0.5%
- Co-authors
- Steven H. LowRichard M. MurrayLingwen GanTichakorn WongpiromsarnDennice F. GaymeChanghong ZhaoAndrew PackardNa Li
- Topics
- Formal Methods in Verification (93 papers)Reinforcement Learning in Robotics (39 papers)Advanced Control Systems Optimization (29 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Ufuk Topcu
250 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Electrical and Electronic Engineering 2.4k
- Control and Systems Engineering 2.1k
- Computational Theory and Mathematics 1.5k
- Artificial Intelligence 1.2k
- Automotive Engineering 1.0k
Countries citing papers authored by Ufuk Topcu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 14 | |
| 16 | Uncertainty-Aware Signal Temporal logic. | 1 |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | Automatic Synthesis of Robust Embedded Control Software | 19 |
About Ufuk Topcu
Ufuk Topcu is a scholar working on Software, Computational Theory and Mathematics and Control and Systems Engineering, having authored 269 papers that have together received 5.8k indexed citations. Recurring topics across this work include Formal Methods in Verification (93 papers), Reinforcement Learning in Robotics (39 papers) and Advanced Control Systems Optimization (29 papers). The work is most often cited by research in Software (521 citations), Computational Theory and Mathematics (1.5k citations) and Control and Systems Engineering (2.1k citations). Ufuk Topcu has collaborated with scholars based in United States, Germany and Netherlands. Frequent 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. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.
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.