Nathan van de Wouw

13.8k total citations · 7 hit papers
343 papers, 10.1k citations indexed

About

Nathan van de Wouw is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Nathan van de Wouw has authored 343 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 245 papers in Control and Systems Engineering, 84 papers in Mechanical Engineering and 41 papers in Statistical and Nonlinear Physics. Recurrent topics in Nathan van de Wouw's work include Adaptive Control of Nonlinear Systems (60 papers), Advanced Control Systems Optimization (51 papers) and Iterative Learning Control Systems (48 papers). Nathan van de Wouw is often cited by papers focused on Adaptive Control of Nonlinear Systems (60 papers), Advanced Control Systems Optimization (51 papers) and Iterative Learning Control Systems (48 papers). Nathan van de Wouw collaborates with scholars based in Netherlands, United States and Norway. Nathan van de Wouw's co-authors include Henk Nijmeijer, W.P.M.H. Heemels, Jeroen Ploeg, Dragan Nešić, Andrew R. Teel, Alexey Pavlov, M.B.G. Cloosterman, Remco I. Leine, Laurentiu Hetel and M.C.F. Donkers and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Nathan van de Wouw

329 papers receiving 9.7k citations

Hit Papers

Networked Control Systems With Communication Constraints:... 2009 2026 2014 2020 2010 2014 2011 2011 2014 200 400 600
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.

  1. Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance
    2010 677 citations W.P.M.H. Heemels, Nathan van de Wouw et al. IEEE Transactions on Automatic Control profile →
  2. Lp String Stability of Cascaded Systems: Application to Vehicle Platooning
    2014 529 citations Jeroen Ploeg, Nathan van de Wouw et al. IEEE Transactions on Control Systems Technology profile →
  3. Design and experimental evaluation of cooperative adaptive cruise control
    2011 462 citations Jeroen Ploeg, Ellen van Nunen et al. TU/e Research Portal profile →
  4. Stability Analysis of Networked Control Systems Using a Switched Linear Systems Approach
    2011 401 citations W.P.M.H. Heemels, Nathan van de Wouw et al. IEEE Transactions on Automatic Control profile →
  5. Controller Synthesis for String Stability of Vehicle Platoons
    2014 364 citations Jeroen Ploeg, Nathan van de Wouw et al. profile →
  6. Cooperative Adaptive Cruise Control: Network-Aware Analysis of String Stability
    2014 331 citations Jeroen Ploeg, Nathan van de Wouw et al. profile →
  7. Stability of Networked Control Systems With Uncertain Time-Varying Delays
    2009 300 citations Nathan van de Wouw, W.P.M.H. Heemels et al. IEEE Transactions on Automatic Control profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan van de Wouw Netherlands 49 7.6k 2.1k 1.8k 1.8k 1.8k 343 10.1k
Ümi̇t Özgüner United States 46 7.4k 1.0× 1.8k 0.9× 1.3k 0.7× 2.0k 1.1× 3.1k 1.8× 409 11.0k
J. Karl Hedrick United States 62 12.2k 1.6× 2.3k 1.1× 3.4k 1.9× 2.2k 1.2× 6.6k 3.8× 394 18.4k
Zhongsheng Hou China 59 11.2k 1.5× 2.1k 1.0× 2.9k 1.6× 1.4k 0.8× 660 0.4× 466 13.8k
Ilya Kolmanovsky United States 61 10.8k 1.4× 769 0.4× 1.8k 1.0× 3.2k 1.8× 5.7k 3.3× 644 18.1k
Roberto Horowitz United States 47 6.1k 0.8× 410 0.2× 1.8k 1.0× 1.6k 0.9× 1.1k 0.6× 368 8.5k
Carlos Canudas de Wit France 43 10.4k 1.4× 719 0.3× 6.3k 3.4× 794 0.4× 2.5k 1.4× 242 14.1k
I. Kanellakopoulos United States 32 11.9k 1.6× 1.8k 0.8× 1.3k 0.7× 1.3k 0.7× 739 0.4× 87 13.4k
Anuradha M. Annaswamy United States 45 8.3k 1.1× 1.2k 0.6× 788 0.4× 2.1k 1.2× 833 0.5× 373 12.0k
J. Christian Gerdes United States 55 5.8k 0.8× 662 0.3× 2.1k 1.2× 447 0.3× 5.9k 3.3× 192 10.0k
Yongduan Song China 69 12.8k 1.7× 6.6k 3.1× 1.1k 0.6× 3.1k 1.7× 525 0.3× 398 17.2k

Countries citing papers authored by Nathan van de Wouw

Since Specialization
Citations

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

Fields of papers citing papers by Nathan van de Wouw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan van de Wouw. 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 Nathan van de Wouw. The network helps show where Nathan van de Wouw may publish in the future.

Co-authorship network of co-authors of Nathan van de Wouw

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan van de Wouw. A scholar is included among the top collaborators of Nathan van de Wouw 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 Nathan van de Wouw. Nathan van de Wouw 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.
Arteaga, Inés López, et al.. (2025). Data-driven modeling for electro-active liquid crystal polymer networks. Discover Applied Sciences. 7(1).
2.
Besselink, Bart, et al.. (2025). Abstracted Model Reduction: A General Framework for Efficient Interconnected System Reduction. IEEE Transactions on Control Systems Technology. 33(5). 1684–1699. 1 indexed citations
3.
Hunnekens, Bram, et al.. (2024). Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions. TU/e Research Portal. 27. 100236–100236. 7 indexed citations
4.
Scarciotti, Giordano, et al.. (2024). Optimal Model Reduction by Time-Domain Moment Matching for Lur'e-Type Models. IEEE Transactions on Automatic Control. 69(12). 8820–8827. 3 indexed citations
5.
Murguia, Carlos, et al.. (2024). Uncertainty Learning for LTI Systems with Stability Guarantees. TU/e Research Portal. 2568–2573. 1 indexed citations
6.
Tejada, Arturo, et al.. (2024). Fast Collision Probability Estimation for Automated Driving using Multi-circular Shape Approximations. TU/e Research Portal. 2529–2536.
7.
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
8.
Murguia, Carlos, et al.. (2024). Privacy-preserving anomaly detection in stochastic dynamical systems: Synthesis of optimal Gaussian mechanisms. European Journal of Control. 81. 101142–101142. 2 indexed citations
9.
Kostić, Dragan, et al.. (2023). Settling Time Optimization in Wire Bonder Systems via Extremum-Seeking Control1. IFAC-PapersOnLine. 56(2). 10301–10306. 1 indexed citations
10.
Hunnekens, Bram, et al.. (2023). Repetitive Control for Lur’e-Type Systems: Application to Mechanical Ventilation. IEEE Transactions on Control Systems Technology. 31(4). 1819–1829. 12 indexed citations
11.
Bisoffi, Andrea, et al.. (2021). Reset PID Design for Motion Systems With Stribeck Friction. IEEE Transactions on Control Systems Technology. 30(1). 294–310. 19 indexed citations
12.
Schulze, Philipp, et al.. (2021). Port-Hamiltonian formulation of two-phase flow models. Systems & Control Letters. 149. 104881–104881. 10 indexed citations
13.
Hunnekens, Bram, et al.. (2020). Adaptive Control for Mechanical Ventilation for Improved Pressure Support. IEEE Transactions on Control Systems Technology. 29(1). 180–193. 24 indexed citations
14.
Steur, Erik, et al.. (2020). Exponential Synchronization of Nonlinear Oscillators Under Sampled-Data Coupling. TU/e Research Portal. 1824–1829. 3 indexed citations
15.
Nunen, Ellen van, et al.. (2019). String Stable Model Predictive Cooperative Adaptive Cruise Control for Heterogeneous Platoons. IEEE Transactions on Intelligent Vehicles. 4(2). 186–196. 78 indexed citations
16.
Wouw, Nathan van de, et al.. (2017). Mitigation of Torsional Vibrations in Drilling Systems: A Robust Control Approach. IEEE Transactions on Control Systems Technology. 27(1). 249–265. 47 indexed citations
17.
Traversaro, Silvio, et al.. (2017). Control of humanoid robot motions with impacts: Numerical experiments with reference spreading control. TU/e Research Portal. 4102–4107. 21 indexed citations
18.
Fusco, Giuseppe, Elham Semsar-Kazerooni, Jeroen Ploeg, & Nathan van de Wouw. (2016). Vehicular platooning: Multi-Layer Consensus Seeking. TU/e Research Portal. 382–387. 6 indexed citations
19.
Wouw, Nathan van de, et al.. (2015). Active trailer steering for robotic tractor-trailer combinations. TU/e Research Portal. 4073–4079. 8 indexed citations
20.
Sadowska, Anna, Dragan Kostić, Nathan van de Wouw, H.J.C. Huijberts, & Henk Nijmeijer. (2012). Distributed formation control of unicycle robots. TU/e Research Portal. 1564–1569. 21 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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