Felix Berkenkamp

2.0k total citations
15 papers, 557 citations indexed

About

Felix Berkenkamp is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Felix Berkenkamp has authored 15 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Control and Systems Engineering and 3 papers in Management Science and Operations Research. Recurrent topics in Felix Berkenkamp's work include Fault Detection and Control Systems (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Advanced Control Systems Optimization (4 papers). Felix Berkenkamp is often cited by papers focused on Fault Detection and Control Systems (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Advanced Control Systems Optimization (4 papers). Felix Berkenkamp collaborates with scholars based in Switzerland, Germany and Canada. Felix Berkenkamp's co-authors include Andreas Krause, Matteo Turchetta, Angela P. Schoellig, Torsten Koller, Markus Gwerder, Jan Poland, Nicolas Carion, Jost Tobias Springenberg, Roland Hafner and Michael Neunert and has published in prestigious journals such as Energy and Buildings, IFAC-PapersOnLine and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Felix Berkenkamp

15 papers receiving 526 citations

Peers

Felix Berkenkamp
Jan Poland Switzerland
Kim P. Wabersich Switzerland
Matteo Turchetta Switzerland
Jan Poland Switzerland
Felix Berkenkamp
Citations per year, relative to Felix Berkenkamp Felix Berkenkamp (= 1×) peers Jan Poland

Countries citing papers authored by Felix Berkenkamp

Since Specialization
Citations

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

Fields of papers citing papers by Felix Berkenkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Berkenkamp

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

All Works

15 of 15 papers shown
1.
Siegel, Noah, Jost Tobias Springenberg, Felix Berkenkamp, et al.. (2020). Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. arXiv (Cornell University). 17 indexed citations
2.
Berkenkamp, Felix, et al.. (2020). Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models. 147–157. 3 indexed citations
3.
Turchetta, Matteo, Felix Berkenkamp, & Andreas Krause. (2019). Safe Exploration for Interactive Machine Learning. arXiv (Cornell University). 32. 2887–2897. 10 indexed citations
4.
Berkenkamp, Felix, Angela P. Schoellig, & Andreas Krause. (2019). No-Regret Bayesian Optimization with Unknown Hyperparameters. Repository for Publications and Research Data (ETH Zurich). 20(50). 1–24. 7 indexed citations
5.
Koller, Torsten, et al.. (2019). Learning-based Model Predictive Control for Safe Reinforcement Learning. 1 indexed citations
6.
Berkenkamp, Felix, et al.. (2018). The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems. arXiv (Cornell University). 87. 466–476. 27 indexed citations
7.
Koller, Torsten, Felix Berkenkamp, Matteo Turchetta, & Andreas Krause. (2018). Learning-Based Model Predictive Control for Safe Exploration. 6059–6066. 171 indexed citations
8.
Nıkolov, Nikolay, et al.. (2018). Information-Directed Exploration for Deep Reinforcement Learning. arXiv (Cornell University). 3 indexed citations
9.
Berkenkamp, Felix, Matteo Turchetta, Angela P. Schoellig, & Andreas Krause. (2017). Safe Model-based Reinforcement Learning with Stability Guarantees. arXiv (Cornell University). 30. 908–918. 137 indexed citations
10.
Berkenkamp, Felix, et al.. (2017). Constrained Bayesian Optimization with Particle Swarms for Safe Adaptive Controller Tuning. IFAC-PapersOnLine. 50(1). 11800–11807. 29 indexed citations
11.
Turchetta, Matteo, Felix Berkenkamp, & Andreas Krause. (2016). Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. arXiv (Cornell University). 29. 4312–4320. 17 indexed citations
12.
Berkenkamp, Felix, et al.. (2016). Bayesian optimization for maximum power point tracking in photovoltaic power plants. 2078–2083. 26 indexed citations
13.
Berkenkamp, Felix & Angela P. Schoellig. (2015). Safe and robust learning control with Gaussian processes. 2496–2501. 82 indexed citations
14.
Berkenkamp, Felix & Angela P. Schoellig. (2015). Derivation of a linear, robust H2 controller for systems with parametric uncertainty. Repository for Publications and Research Data (ETH Zurich). 2 indexed citations
15.
Berkenkamp, Felix & Markus Gwerder. (2014). Hybrid model predictive control of stratified thermal storages in buildings. Energy and Buildings. 84. 233–240. 25 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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