Mojmír Mutný
Impact in
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- Robot Manipulation and Learning
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- Soft Robotics and Applications
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Advanced Bandit Algorithms Research 4
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- Protein Structure and Dynamics 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Andreas Krause (11 shared papers)Moritz Bächer (1 shared paper)Espen Knoop (1 shared paper)Miguel Á. Otaduy (1 shared paper)R. Ischebeck (2 shared papers)Nicole Hiller (2 shared papers)Thomas R. Ward (2 shared papers)Tobias Vornholt (2 shared papers)
- Journals
- ACS Central Science (2 papers)Soft Robotics (1 paper)Nature Chemical Biology (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- SwitzerlandGermanySpain
In The Last Decade
Mojmír Mutný
12 papers receiving 170 citations
Peers
Comparison fields: 5 of 55
- Control and Systems Engineering 42
- Biomedical Engineering 79
- Management Science and Operations Research 16
- Computational Theory and Mathematics 20
- Artificial Intelligence 39
Countries citing papers authored by Mojmír Mutný
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
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-authors
The 25 scholars most cited alongside Mojmír Mutný, 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 | 2019 | 87 | |
| 2 | 2019 | 31 | |
| 3 | 2024 | 17 | |
| 4 | 2019 | 15 | |
| 5 | 2024 | 9 | |
| 6 | 2019 | 7 | |
| 7 | Coresets via Bilevel Optimization for Continual Learning and Streaming | 2020 | 2 |
| 8 | Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory | 2021 | 1 |
| 9 | 2025 | 1 | |
| 10 | 2024 | 1 | |
| 11 | No-regret Algorithms for Capturing Events in Poisson Point Processes | 2021 | 1 |
| 12 | 2020 | 1 |
About Mojmír Mutný
Mojmír Mutný is a scholar working on Management Science and Operations Research, Molecular Biology, Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 12 papers that have together received 173 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (4 papers), Protein Structure and Dynamics (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Optimization and Search Problems (1 paper), Data Management and Algorithms (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Control and Systems Engineering (42 citations), Biomedical Engineering (79 citations), Management Science and Operations Research (16 citations), Computational Theory and Mathematics (20 citations) and Artificial Intelligence (39 citations). Mojmír Mutný has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Andreas Krause, Moritz Bächer, Espen Knoop, Miguel Á. Otaduy, R. Ischebeck, Nicole Hiller, Thomas R. Ward, Tobias Vornholt, Sven Panke and Christian Schellhaas. Their work appears in journals such as ACS Central Science, Soft Robotics, Nature Chemical Biology, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.