Jonathan Styrud

407 total citations · 1 hit paper
9 papers, 224 citations indexed

About

Jonathan Styrud is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Jonathan Styrud has authored 9 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 2 papers in Mechanical Engineering. Recurrent topics in Jonathan Styrud's work include Reinforcement Learning in Robotics (5 papers), Evolutionary Algorithms and Applications (3 papers) and Advanced Control Systems Optimization (2 papers). Jonathan Styrud is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Evolutionary Algorithms and Applications (3 papers) and Advanced Control Systems Optimization (2 papers). Jonathan Styrud collaborates with scholars based in Sweden. Jonathan Styrud's co-authors include Christian Smith, Matteo Iovino, Petter Ögren, Mårten Björkman, Mikael Norrlöf, Hao Ding, Stig Moberg, Debora Clever, Arne Wahrburg and Matthias Mayr and has published in prestigious journals such as Robotics and Autonomous Systems, Lund University Publications (Lund University) and Research Padua Archive (University of Padua).

In The Last Decade

Jonathan Styrud

8 papers receiving 216 citations

Hit Papers

A survey of Behavior Trees in robotics and AI 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Styrud Sweden 6 124 87 41 34 22 9 224
Matteo Iovino Sweden 6 138 1.1× 68 0.8× 42 1.0× 21 0.6× 18 0.8× 9 211
Tim Niemueller Germany 7 88 0.7× 79 0.9× 63 1.5× 25 0.7× 17 0.8× 12 187
Humbert Fiorino France 8 121 1.0× 52 0.6× 32 0.8× 14 0.4× 25 1.1× 26 204
Francesco Rovida Denmark 8 88 0.7× 95 1.1× 49 1.2× 30 0.9× 87 4.0× 12 221
Daniel Beßler Germany 6 135 1.1× 108 1.2× 59 1.4× 25 0.7× 28 1.3× 9 235
Ishika Singh United States 3 167 1.3× 93 1.1× 115 2.8× 18 0.5× 24 1.1× 7 317
Mihai Pomarlan Germany 7 117 0.9× 94 1.1× 72 1.8× 17 0.5× 23 1.0× 25 219
J. A. Becerra Spain 9 126 1.0× 25 0.3× 47 1.1× 23 0.7× 17 0.8× 42 231
Arne Nordmann Germany 9 97 0.8× 116 1.3× 22 0.5× 51 1.5× 22 1.0× 23 268
Ferenc Bálint-Benczédi Germany 10 103 0.8× 103 1.2× 118 2.9× 19 0.6× 12 0.5× 21 246

Countries citing papers authored by Jonathan Styrud

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Styrud

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Styrud. A scholar is included among the top collaborators of Jonathan Styrud 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 Jonathan Styrud. Jonathan Styrud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Styrud, Jonathan, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, & Christian Smith. (2025). Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation. 1225–1232.
2.
Styrud, Jonathan, et al.. (2024). BeBOP - Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks. Lund University Publications (Lund University). 16459–16466. 5 indexed citations
3.
Iovino, Matteo, Jonathan Styrud, Pietro Falco, & Christian Smith. (2023). A Framework for Learning Behavior Trees in Collaborative Robotic Applications. Research Padua Archive (University of Padua). 1–8. 5 indexed citations
4.
Iovino, Matteo, et al.. (2022). A survey of Behavior Trees in robotics and AI. Robotics and Autonomous Systems. 154. 104096–104096. 132 indexed citations breakdown →
5.
Iovino, Matteo, et al.. (2022). Combining Context Awareness and Planning to Learn Behavior Trees from Demonstration. 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 1153–1160. 17 indexed citations
6.
Styrud, Jonathan, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, & Christian Smith. (2022). Combining Planning and Learning of Behavior Trees for Robotic Assembly. 2022 International Conference on Robotics and Automation (ICRA). 11511–11517. 30 indexed citations
7.
Wahrburg, Arne, et al.. (2018). Modeling Speed-, Load-, and Position-Dependent Friction Effects in Strain Wave Gears. 2095–2102. 25 indexed citations
8.
Styrud, Jonathan, et al.. (2012). Industrial evaluation of process control using non-periodic sampling. 1–8. 7 indexed citations
9.
Styrud, Jonathan, et al.. (2010). Non-periodic sampling schemes for control applications. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3 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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