Marko Budišić
Impact in
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- Model Reduction and Neural Networks
- Quantum chaos and dynamical systems
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- Probabilistic and Robust Engineering Design
Papers in
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- Model Reduction and Neural Networks 6
- Quantum chaos and dynamical systems 3
- Chaos control and synchronization 2
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- Fluid Dynamics and Turbulent Flows 2
- Fluid Dynamics and Vibration Analysis 2
- Co-authors
- Igor Mezić (3 shared papers)Ryan Mohr (1 shared paper)Steven L. Brunton (1 shared paper)J. Nathan Kutz (1 shared paper)Eurika Kaiser (1 shared paper)Jean‐Luc Thiffeault (1 shared paper)Sumona Mondal (2 shared papers)Shantanu Sur (2 shared papers)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (2 papers)Frontiers in Public Health (1 paper)Computers & Mathematics with Applications (1 paper)SIAM Review (1 paper)Journal of Computational Physics (1 paper)
- Partner nations
- United StatesCroatiaAustralia
In The Last Decade
Marko Budišić
15 papers receiving 901 citations
Marko Budišić's Hit Papers
Peers
Comparison fields: 5 of 89
- Statistical and Nonlinear Physics 676
- Statistics, Probability and Uncertainty 187
- Computational Mechanics 296
- Control and Systems Engineering 191
- Computational Mathematics 3
Countries citing papers authored by Marko Budišić
This map shows the geographic impact of Marko Budišić'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 Marko Budišić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Budišić more than expected).
Fields of papers citing papers by Marko Budišić
This network shows the impact of papers produced by Marko Budišić. 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 Marko Budišić. The network helps show where Marko Budišić may publish in the future.
Co-authors
The 18 scholars most cited alongside Marko Budišić, 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 | Applied Koopmanism Hit paper breakdown → | 2012 | 486 |
| 2 | Modern Koopman Theory for Dynamical Systems Hit paper breakdown → | 2022 | 297 |
| 3 | 2012 | 71 | |
| 4 | 2015 | 29 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2009 | 8 | |
| 8 | 2007 | 4 | |
| 9 | 2021 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2007 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2020 | 1 |
About Marko Budišić
Marko Budišić is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Mathematical Physics, Control and Systems Engineering and Atmospheric Science, having authored 15 papers that have together received 929 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (6 papers), Quantum chaos and dynamical systems (3 papers), Mathematical Dynamics and Fractals (3 papers), Aerodynamics and Acoustics in Jet Flows (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Chaos control and synchronization (2 papers), Fluid Dynamics and Vibration Analysis (2 papers) and Teleoperation and Haptic Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (676 citations), Statistics, Probability and Uncertainty (187 citations), Computational Mechanics (296 citations), Control and Systems Engineering (191 citations) and Computational Mathematics (3 citations). Marko Budišić has collaborated with scholars based in United States, Croatia and Australia. Frequent co-authors include Igor Mezić, Ryan Mohr, Steven L. Brunton, J. Nathan Kutz, Eurika Kaiser, Jean‐Luc Thiffeault, Sumona Mondal, Shantanu Sur, Erik S. Van Vleck and Ivan Petrović. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Frontiers in Public Health, Computers & Mathematics with Applications, SIAM Review and Journal of Computational Physics.
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.