2026 Igor Mezic: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	62	473	396	245	191	291	16807
Mechanical and Aerospace Engineering	54	928	850	388	332	327	20202

Research.com Recognitions

2017 - SIAM Fellow For sustained innovation at the dynamical systems theory/applications interface; notably for advances in the use of Koopman operator theory.
2015 - Fellow of American Physical Society (APS) Citation For fundamental contributions to the theory of threedimensional chaotic advection, measures and control of mixing, and development of a spectral operator theory approach to decomposition of complex fluid flows
1999 - Fellow of Alfred P. Sloan Foundation

Overview

Igor Mezic is affiliated with the University of California, Santa Barbara in the United States. Their research primarily focuses on the intersection of engineering and physics, with a significant emphasis on statistical and nonlinear physics as well as computational mechanics. Their work also spans subfields related to statistics, probability, uncertainty, artificial intelligence, and control and systems engineering.

The scientist has a diverse publication record with significant contributions across multiple venues. Notably, they have published extensively in arXiv (Cornell University) with 21 papers, and have also contributed to the SIAM Journal on Applied Dynamical Systems (7 papers), Scientific Reports (2 papers), Mathematics (2 papers), and Nature Communications (1 paper).

Mezic's main areas of research include model reduction and neural networks, probabilistic and robust engineering design, fluid dynamics and turbulent flows, neural networks and their applications, fluid dynamics combined with vibration analysis, machine fault diagnosis techniques, and lattice Boltzmann simulation studies. These topics collectively reflect a focus on dynamical systems and data-driven modeling approaches.

Their recent publications include:

"Data-driven analysis and forecasting of highway traffic dynamics", 2020, Nature Communications
"Control of soft robots with inertial dynamics", 2023, Science Robotics
"Koopman Operator, Geometry, and Learning of Dynamical Systems", 2021, Notices of the American Mathematical Society
"Artificial intelligence-based predictive model of nanoscale friction using experimental data", 2021, Friction
"Modeling, Reduction, and Control of a Helically Actuated Inertial Soft Robotic Arm via the Koopman Operator", 2020, arXiv (Cornell University)

Frequent collaborators of Mezic include Maria Fonoberova, Ryan Mohr, Zlatko Drmač, Milan Korda, and William T. Redman, indicating ongoing research partnerships across several projects.

Among Mezic's published books, The Koopman Operator in Systems and Control published by Springer Science+Business Media in 2020 has accumulated citations that highlight its relevance within the field of dynamical systems.

Recognition of Mezic's work is evidenced by several awards, including being named a SIAM Fellow in 2017 for contributions to dynamical systems theory and Koopman operator theory. They were also honored as a Fellow of the American Physical Society in 2015, recognized for fundamental contributions to chaotic advection theory, fluid flow decomposition, and spectral operator theory approaches. Additionally, Mezic was a Fellow of the Alfred P. Sloan Foundation in 1999.

Best Publications

Chaotic Mixer for Microchannels

Abraham D. Stroock;Stephan K. W. Dertinger;Armand Ajdari;Igor Mezić

4427
Citations
Spectral analysis of nonlinear flows

Clarence Rowley;Igor Mezic;Shervin Bagheri;Philipp Schlatter

2559
Citations
Spectral Properties of Dynamical Systems, Model Reduction and Decompositions

Igor Mezić

1347
Citations
Analysis of Fluid Flows via Spectral Properties of the Koopman Operator

Igor Mezić

1077
Citations
Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control

Milan Korda;Igor Mezić

1030
Citations
Applied Koopmanism

Marko Budišić;Ryan M. Mohr;Igor Mezić

688
Citations
Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator

Hassan Arbabi;Igor Mezić

531
Citations
Comparison of systems with complex behavior

Igor Mezić;Andrzej Banaszuk

454
Citations
On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operator

Milan Korda;Igor Mezić

373
Citations
A methodology for meta-model based optimization in building energy models

Bryan Eisenhower;Zheng O’Neill;Satish Narayanan;Vladimir A. Fonoberov

336
Citations
Global Stability Analysis Using the Eigenfunctions of the Koopman Operator

Alexandre Mauroy;Igor Mezic

277
Citations
Frontiers of chaotic advection

Hassan Aref;John R. Blake;Marko Budišić;Silvana S.S. Cardoso

260
Citations
Uncertainty and sensitivity decomposition of building energy models

Bryan Eisenhower;Zheng O'Neill;Vladimir A. Fonoberov;Igor Mezić

245
Citations
Isostables, isochrons, and Koopman spectrum for the action-angle representation of stable fixed point dynamics

Alexandre Mauroy;Igor Mezić;Jeff Moehlis

238
Citations
Nonlinear Koopman Modes and Coherency Identification of Coupled Swing Dynamics

Y. Susuki;I. Mezic

232
Citations
A multiscale measure for mixing

George Mathew;Igor Mezić;Linda Petzold

219
Citations
On learning Hamiltonian systems from data

Tom Bertalan;Felix Dietrich;Igor Mezić;Ioannis G. Kevrekidis

219
Citations
Linearization in the large of nonlinear systems and Koopman operator spectrum

Yueheng Lan;Igor Mezić

199
Citations
Melnikov-based dynamical analysis of microcantilevers in scanning probe microscopy

M. Ashhab;M. V. Salapaka;M. Dahleh;I. Mezić

194
Citations
On the integrability and perturbation of three-dimensional fluid flows with symmetry

I. Mezić;S. Wiggins

188
Citations
RESEARCH ARTICLE Uncertainty and Sensitivity Decomposition of Building Energy Models

Bryan Eisenhower;Zheng O'Neill;Vladimir A. Fonoberov;Igor Mezic

0
Citations

Frequent Co-Authors

Carl D. Meinhart University of California, Santa Barbara

Takashi Hikihara Kyoto University

Stephen Wiggins University of Bristol

Noel C. MacDonald University of California, Santa Barbara

Linda R. Petzold University of California, Santa Barbara

Clarence W. Rowley Princeton University

Mihai Putinar University of California, Santa Barbara

Zheng O'Neill Texas A&M University

Bassam Bamieh University of California, Santa Barbara

James C. Hogg University of British Columbia

External Links

Wikipedia of Igor Mezic Personal website of Igor Mezic Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can expand career opportunities beyond traditional roles. Pursuing a masters degree in marketing can help merge analytical skills with market strategy, opening doors in business analytics and digital marketing.

If you're interested in advancing your business knowledge alongside mathematics expertise, consider enrolling in one of the top one year mba programs. These accelerated options allow quicker entry into leadership roles and complement quantitative skills well.

Many programs now offer flexibility through mba programs that accept transfer credits, enabling students to efficiently build on prior coursework while balancing work and study.

For those drawn to data-driven decision making, a data analytics masters can be a strong complement to mathematics, offering skills in big data, machine learning, and predictive modeling that are highly sought after across industries.