Marko Budišić

1.6k citations
15 papers · 818 · 2 hit papers · h-index 7

Impact in

Papers in

Marko Budišić

15 papers receiving 786 citations

Marko Budišić's Hit Papers

Modern Koopman Theory for Dynamical Systems 2022 · 257 citations
2570+4+9Years since publication100200300400

Peers

Marko Budišić
Comparison fields: 5 of 88
  • Statistical and Nonlinear Physics 598
  • Statistics, Probability and Uncertainty 166
  • Computational Mechanics 274
  • Control and Systems Engineering 161
  • Computational Mathematics 3
Replace Eurika Kaiser with:
Eurika Kaiser United States
Bethany Lusch United States
Matthew O. Williams United States
Jean-Christophe Loiseau France
Felix Dietrich Germany
Samuel Rudy United States
Hayden Schaeffer United States
Youngsoo Choi United States
Jared Callaham United States
Jonathan H. Tu United States
Marko Budišić relative to Eurika Kaiser United States Eurika Kaiser's profile →
Citations per field
00.5×5.3×
Eurika Kaiser · 1×
Citations per year

Countries citing papers authored by Marko Budišić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marko Budišić Line = papers co-authored together Marko Budišić links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Applied Koopmanism
Hit paper breakdown →
2012438
2
Modern Koopman Theory for Dynamical Systems
Hit paper breakdown →
2022257
3 201253
4 201528
5 202112
6 20218
7 20098
8 20074
9 20213
10 20222
11 20241
12 20241
13 20221
14 20071
15 20201

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 818 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (6 papers), Mathematical Dynamics and Fractals (3 papers), Quantum chaos and dynamical systems (3 papers), Robotics and Automated Systems (2 papers), Aerodynamics and Acoustics in Jet Flows (2 papers), Meteorological Phenomena and Simulations (2 papers), Teleoperation and Haptic Systems (2 papers) and Chaos control and synchronization (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (598 citations), Statistics, Probability and Uncertainty (166 citations), Computational Mechanics (274 citations), Control and Systems Engineering (161 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, J. Nathan Kutz, Eurika Kaiser, Steven L. Brunton, Jean‐Luc Thiffeault, Shantanu Sur, Ivan Petrović, Erik S. Van Vleck and Sumona Mondal. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physica D Nonlinear Phenomena, Frontiers in Public Health, AIAA Journal and SIAM Review.

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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