Nathan van de Wouw
- Control and Systems Engineering top 0.05%
- Adaptive Control of Nonlinear Systems 60
- Advanced Control Systems Optimization 51
- Iterative Learning Control Systems 48
- Stability and Control of Uncertain Systems 48
- Control and Stability of Dynamical Systems 44
- Transportation top 0.5%
- Automotive Engineering top 0.2%
- Computer Networks and Communications top 0.5%
- Ocean Engineering top 0.5%
- Drilling and Well Engineering 32
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- Model Reduction and Neural Networks 31
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- Hydraulic and Pneumatic Systems 28
- Co-authors
- Henk NijmeijerW.P.M.H. HeemelsJeroen PloegDragan NešićAndrew R. TeelAlexey PavlovM.B.G. CloostermanRemco I. Leine
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Automatic Control (13 papers)Automatica (34 papers)
- Partner nations
- NetherlandsUnited StatesNorway
In The Last Decade
Nathan van de Wouw
329 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Control and Systems Engineering 7.6k
- Transportation 986
- Automotive Engineering 1.8k
- Computer Networks and Communications 2.1k
- Ocean Engineering 875
Countries citing papers authored by Nathan van de Wouw
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
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
The 25 scholars most cited alongside Nathan van de Wouw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 10 | |
| 16 | 2020 | 24 | |
| 17 | 2019 | 78 | |
| 18 | 2018 | 12 | |
| 19 | 2018 | 12 | |
| 20 | Observer-based output-feedback control to eliminate torsional drill-string vibrations | 2014 | 1 |
About Nathan van de Wouw
Nathan van de Wouw is a scholar working on Control and Systems Engineering, Numerical Analysis and Statistical and Nonlinear Physics, having authored 343 papers that have together received 10.1k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (60 papers), Advanced Control Systems Optimization (51 papers), Iterative Learning Control Systems (48 papers), Stability and Control of Uncertain Systems (48 papers), Control and Stability of Dynamical Systems (44 papers), Drilling and Well Engineering (32 papers), Model Reduction and Neural Networks (31 papers) and Hydraulic and Pneumatic Systems (28 papers). The work is most often cited by research in Control and Systems Engineering (7.6k citations), Transportation (986 citations) and Automotive Engineering (1.8k citations). Nathan van de Wouw has collaborated with scholars based in Netherlands, United States and Norway. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.