Roland Tóth

4.4k total citations · 2 hit papers
193 papers, 2.9k citations indexed

About

Roland Tóth is a scholar working on Control and Systems Engineering, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Roland Tóth has authored 193 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Control and Systems Engineering, 19 papers in Artificial Intelligence and 17 papers in Civil and Structural Engineering. Recurrent topics in Roland Tóth's work include Control Systems and Identification (119 papers), Fault Detection and Control Systems (99 papers) and Advanced Control Systems Optimization (90 papers). Roland Tóth is often cited by papers focused on Control Systems and Identification (119 papers), Fault Detection and Control Systems (99 papers) and Advanced Control Systems Optimization (90 papers). Roland Tóth collaborates with scholars based in Netherlands, Hungary and United States. Roland Tóth's co-authors include Paul M.J. Van den Hof, Zizhang Wu, Peter S.C. Heuberger, Hossam S. Abbas, Vincent Laurain, Dario Piga, Nader Meskin, Javad Mohammadpour, Marion Gilson and Hugues Garnier and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Journal of Chromatography A.

In The Last Decade

Roland Tóth

181 papers receiving 2.8k citations

Hit Papers

Modeling and Identification of Linear Parameter-Varying S... 2010 2026 2015 2020 2010 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland Tóth Netherlands 27 2.2k 338 307 263 241 193 2.9k
Maurı́cio C. de Oliveira United States 28 3.6k 1.6× 308 0.9× 258 0.8× 67 0.3× 192 0.8× 137 4.2k
Vincent Verdult Netherlands 16 1.4k 0.6× 358 1.1× 195 0.6× 70 0.3× 102 0.4× 43 1.9k
Boris Houska China 22 1.8k 0.8× 104 0.3× 135 0.4× 254 1.0× 476 2.0× 96 2.7k
Herbert Werner Germany 26 2.7k 1.2× 211 0.6× 369 1.2× 63 0.2× 417 1.7× 294 3.6k
Ioan Doré Landau France 34 3.3k 1.5× 409 1.2× 550 1.8× 126 0.5× 208 0.9× 203 4.1k
Cédric Join France 27 2.2k 1.0× 125 0.4× 330 1.1× 156 0.6× 233 1.0× 103 2.9k
María M. Serón Australia 30 4.5k 2.0× 96 0.3× 256 0.8× 135 0.5× 206 0.9× 219 5.2k
Gary Balas United States 39 3.6k 1.6× 416 1.2× 410 1.3× 188 0.7× 1.5k 6.3× 173 4.8k
S. Weiland Netherlands 24 2.0k 0.9× 126 0.4× 294 1.0× 64 0.2× 105 0.4× 214 3.0k
Andy Packard United States 28 3.3k 1.5× 219 0.6× 323 1.1× 52 0.2× 511 2.1× 64 3.9k

Countries citing papers authored by Roland Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Roland Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Tóth

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Tóth. A scholar is included among the top collaborators of Roland Tóth 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 Roland Tóth. Roland Tóth 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.
Tóth, Roland, et al.. (2025). Learning-based model augmentation with LFRs. European Journal of Control. 86. 101304–101304. 1 indexed citations
2.
Péni, Tamás, et al.. (2025). Autonomous Hook-Based Grasping and Transportation With Quadcopters. IEEE Transactions on Control Systems Technology. 33(3). 980–990. 2 indexed citations
3.
Wang, Pengyu, et al.. (2025). Learning for predictive control: A Dual Gaussian Process approach. Automatica. 177. 112316–112316. 1 indexed citations
4.
Görges, Daniel, et al.. (2024). State Derivative Normalization for Continuous-Time Deep Neural Networks. IFAC-PapersOnLine. 58(15). 253–258. 2 indexed citations
5.
Tóth, Roland, et al.. (2024). Space-Filling Input Design for Nonlinear State-Space Identification. IFAC-PapersOnLine. 58(15). 562–567. 1 indexed citations
6.
Schoukens, Maarten, et al.. (2024). Deep learning of vehicle dynamics. IFAC-PapersOnLine. 58(15). 283–288. 2 indexed citations
7.
Schoukens, Maarten, et al.. (2024). Meta-state–space learning: An identification approach for stochastic dynamical systems. Automatica. 167. 111787–111787. 1 indexed citations
8.
Berberich, Julian, et al.. (2024). Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems. IEEE Transactions on Automatic Control. 69(12). 8603–8616. 3 indexed citations
9.
Wang, Ruigang, et al.. (2024). Virtual control contraction metrics: Convex nonlinear feedback design via behavioral embedding. International Journal of Robust and Nonlinear Control. 34(12). 7698–7721.
10.
Oomen, Tom, et al.. (2024). Vibration Control Under Frequency-Varying Disturbances With Application to Satellites. IEEE Transactions on Control Systems Technology. 32(6). 1983–1994. 2 indexed citations
11.
Heemels, W.P.M.H., et al.. (2024). Unified Behavioral Data-Driven Performance Analysis A Generalized Plant Approach. TU/e Research Portal. 894–899. 1 indexed citations
12.
Horváth, Ernő, et al.. (2024). Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles. Automotive Innovation. 7(1). 59–70. 5 indexed citations
13.
Schoukens, Maarten, et al.. (2023). Automated multi-objective system identification using grammar-based genetic programming. Automatica. 154. 111017–111017. 3 indexed citations
14.
Péni, Tamás, et al.. (2023). Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning. IEEE Transactions on Control Systems Technology. 32(1). 3–14. 6 indexed citations
15.
Péni, Tamás, et al.. (2023). Efficient implementation of Gaussian process–based predictive control by quadratic programming. IET Control Theory and Applications. 17(8). 968–984. 2 indexed citations
16.
Tóth, Roland, et al.. (2022). Improved Embedding of Nonlinear Systems in Linear Parameter-Varying Models With Polynomial Dependence. IEEE Transactions on Control Systems Technology. 31(1). 70–82. 8 indexed citations
17.
Wu, Zizhang, et al.. (2020). SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation. TU/e Research Portal. 4289–4298. 263 indexed citations breakdown →
18.
Tóth, Roland, Håkan Hjalmarsson, & Cristian R. Rojas. (2012). Sparse Estimation of Rational Dynamical Models. IFAC Proceedings Volumes. 45(16). 983–988. 4 indexed citations
19.
Tóth, Roland & D. Fodor. (2006). Speed sensorless mixed sensitivity LPV H_inf control of the induction motor. TU/e Research Portal (Eindhoven University of Technology). 6(4). 1–6. 6 indexed citations
20.
Tóth, Roland. (2004). Simulation results on the asymptotic periodicity of compartmental systems with lags. TU/e Research Portal (Eindhoven University of Technology). 11. 195–202. 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.

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