Mojmír Mutný

505 total citations
12 papers, 173 citations indexed

About

Mojmír Mutný is a scholar working on Management Science and Operations Research, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Mojmír Mutný has authored 12 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Mojmír Mutný's work include Advanced Bandit Algorithms Research (4 papers), Gaussian Processes and Bayesian Inference (2 papers) and Protein Structure and Dynamics (2 papers). Mojmír Mutný is often cited by papers focused on Advanced Bandit Algorithms Research (4 papers), Gaussian Processes and Bayesian Inference (2 papers) and Protein Structure and Dynamics (2 papers). Mojmír Mutný collaborates with scholars based in Switzerland, Germany and Spain. Mojmír Mutný's co-authors include Andreas Krause, Espen Knoop, Miguel Á. Otaduy, Moritz Bächer, Nicole Hiller, R. Ischebeck, Christian Schellhaas, Sven Panke, Ryo Tachibana and Markus Jeschek and has published in prestigious journals such as Nature Chemical Biology, ACS Central Science and Soft Robotics.

In The Last Decade

Mojmír Mutný

12 papers receiving 170 citations

Peers

Mojmír Mutný
Onur Soysal United States
D. Stark United States
Jennifer E. Walter United States
Pablo Borja Netherlands
Onur Soysal United States
Mojmír Mutný
Citations per year, relative to Mojmír Mutný Mojmír Mutný (= 1×) peers Onur Soysal

Countries citing papers authored by Mojmír Mutný

Since Specialization
Citations

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

Fields of papers citing papers by Mojmír Mutný

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mojmír Mutný

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

All Works

12 of 12 papers shown
1.
Vornholt, Tobias, Mojmír Mutný, Markus Jeschek, et al.. (2025). Of Revolutions and Roadblocks: The Emerging Role of Machine Learning in Biocatalysis. ACS Central Science. 11(10). 1828–1838. 1 indexed citations
2.
Schwander, Thomas, Moritz Voß, Michael Eichenberger, et al.. (2024). Enriching productive mutational paths accelerates enzyme evolution. Nature Chemical Biology. 20(12). 1662–1669. 9 indexed citations
3.
Vornholt, Tobias, Mojmír Mutný, Gregor W. Schmidt, et al.. (2024). Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning. ACS Central Science. 10(7). 1357–1370. 17 indexed citations
4.
Krause, Andreas, Robert E. Lee, Ruth Misener, et al.. (2024). Transition Constrained Bayesian Optimization via Markov Decision Processes. 88194–88235. 1 indexed citations
5.
Mutný, Mojmír, et al.. (2021). Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. 664–676. 1 indexed citations
6.
Mutný, Mojmír & Andreas Krause. (2021). No-regret Algorithms for Capturing Events in Poisson Point Processes. 7894–7904. 1 indexed citations
7.
Borsos, Zalán, Mojmír Mutný, & Andreas Krause. (2020). Coresets via Bilevel Optimization for Continual Learning and Streaming. arXiv (Cornell University). 33. 14879–14890. 2 indexed citations
8.
Mutný, Mojmír, et al.. (2020). Experimental Design for Optimization of Orthogonal Projection Pursuit Models. Proceedings of the AAAI Conference on Artificial Intelligence. 34(6). 10235–10242. 1 indexed citations
9.
Knoop, Espen, et al.. (2019). MakeSense: Automated Sensor Design for Proprioceptive Soft Robots. Soft Robotics. 7(3). 332–345. 87 indexed citations
10.
Adelmann, Andreas, et al.. (2019). Bayesian Optimisation for Fast and Safe Parameter Tuning of SwissFEL. DORA PSI (Paul Scherrer Institute). 707–710. 7 indexed citations
11.
Mutný, Mojmír, et al.. (2019). Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces. Repository for Publications and Research Data (ETH Zurich). 97. 3429–3438. 15 indexed citations
12.
Mutný, Mojmír & Andreas Krause. (2019). Efficient high dimensional Bayesian optimization with additivity and quadrature Fourier features. Repository for Publications and Research Data (ETH Zurich). 31. 9005–9016. 31 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026