Jonathan Styrud
Impact in
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- AI-based Problem Solving and Planning
- Evolutionary Algorithms and Applications
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
-
- Reinforcement Learning in Robotics 5
- Evolutionary Algorithms and Applications 3
- AI-based Problem Solving and Planning 2
- Artificial Intelligence in Games 1
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- Advanced Control Systems Optimization 2
- Fault Detection and Control Systems 2
- Control Systems and Identification 2
- Co-authors
- Christian Smith (6 shared papers)Matteo Iovino (5 shared papers)Petter Ögren (1 shared paper)Mårten Björkman (2 shared papers)Mikael Norrlöf (2 shared papers)Arne Wahrburg (1 shared paper)Debora Clever (1 shared paper)Stig Moberg (1 shared paper)
- Journals
- Robotics and Autonomous Systems (1 paper)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)Lund University Publications (Lund University) (1 paper)Research Padua Archive (University of Padua) (1 paper)
- Partner nations
- Sweden
In The Last Decade
Jonathan Styrud
8 papers receiving 216 citations
Jonathan Styrud's Hit Papers
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 124
- Control and Systems Engineering 87
- Industrial and Manufacturing Engineering 22
- Computer Vision and Pattern Recognition 41
- Software 7
Countries citing papers authored by Jonathan Styrud
This map shows the geographic impact of Jonathan Styrud'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 Jonathan Styrud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Styrud more than expected).
Fields of papers citing papers by Jonathan Styrud
This network shows the impact of papers produced by Jonathan Styrud. 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 Jonathan Styrud. The network helps show where Jonathan Styrud may publish in the future.
Co-authors
The 14 scholars most cited alongside Jonathan Styrud, 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 | A survey of Behavior Trees in robotics and AI Hit paper breakdown → | 2022 | 132 |
| 2 | 2022 | 30 | |
| 3 | 2018 | 25 | |
| 4 | 2022 | 17 | |
| 5 | 2012 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 5 | |
| 8 | Non-periodic sampling schemes for control applications | 2010 | 3 |
| 9 | 2025 | 0 |
About Jonathan Styrud
Jonathan Styrud is a scholar working on Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Computational Theory and Mathematics and Infectious Diseases, having authored 9 papers that have together received 224 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Evolutionary Algorithms and Applications (3 papers), Advanced Control Systems Optimization (2 papers), AI-based Problem Solving and Planning (2 papers), Fault Detection and Control Systems (2 papers), Control Systems and Identification (2 papers), Artificial Intelligence in Games (1 paper) and Hydraulic and Pneumatic Systems (1 paper). The work is most often cited by research in Artificial Intelligence (124 citations), Control and Systems Engineering (87 citations), Industrial and Manufacturing Engineering (22 citations), Computer Vision and Pattern Recognition (41 citations) and Software (7 citations). Jonathan Styrud has collaborated with scholars based in Sweden. Frequent co-authors include Christian Smith, Matteo Iovino, Petter Ögren, Mårten Björkman, Mikael Norrlöf, Arne Wahrburg, Debora Clever, Stig Moberg, Hao Ding and Volker Krueger. Their work appears in journals such as Robotics and Autonomous Systems, KTH Publication Database DiVA (KTH Royal Institute of Technology), 2022 International Conference on Robotics and Automation (ICRA), Lund University Publications (Lund University) and Research Padua Archive (University of Padua).
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.