World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
62
Citations
16807
World Ranking
473
National Ranking
246

Mechanical and Aerospace Engineering

D-Index
54
Citations
20202
World Ranking
929
National Ranking
389

Igor Mezic publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Igor Mezic sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 291 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Igor Mezic D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Igor Mezic sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 62 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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

  • Spectral analysis of nonlinear flows

    Clarence Rowley;Igor Mezic;Shervin Bagheri;Philipp Schlatter

  • Spectral Properties of Dynamical Systems, Model Reduction and Decompositions

    Igor Mezić

  • Analysis of Fluid Flows via Spectral Properties of the Koopman Operator

    Igor Mezić

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

    Milan Korda;Igor Mezić

  • Applied Koopmanism

    Marko Budišić;Ryan M. Mohr;Igor Mezić

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

    Hassan Arbabi;Igor Mezić

  • Comparison of systems with complex behavior

    Igor Mezić;Andrzej Banaszuk

  • On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operator

    Milan Korda;Igor Mezić

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

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

  • Global Stability Analysis Using the Eigenfunctions of the Koopman Operator

    Alexandre Mauroy;Igor Mezic

  • Frontiers of chaotic advection

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

  • Uncertainty and sensitivity decomposition of building energy models

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

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

    Alexandre Mauroy;Igor Mezić;Jeff Moehlis

  • Nonlinear Koopman Modes and Coherency Identification of Coupled Swing Dynamics

    Y. Susuki;I. Mezic

  • A multiscale measure for mixing

    George Mathew;Igor Mezić;Linda Petzold

  • On learning Hamiltonian systems from data

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

  • Linearization in the large of nonlinear systems and Koopman operator spectrum

    Yueheng Lan;Igor Mezić

  • Melnikov-based dynamical analysis of microcantilevers in scanning probe microscopy

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

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

    I. Mezić;S. Wiggins

  • RESEARCH ARTICLE Uncertainty and Sensitivity Decomposition of Building Energy Models

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

Frequent Co-Authors

Carl D. Meinhart
Carl D. Meinhart University of California, Santa Barbara
Takashi Hikihara
Takashi Hikihara Kyoto University
Stephen Wiggins
Stephen Wiggins University of Bristol
Noel C. MacDonald
Noel C. MacDonald University of California, Santa Barbara
Linda R. Petzold
Linda R. Petzold University of California, Santa Barbara
Clarence W. Rowley
Clarence W. Rowley Princeton University
Mihai Putinar
Mihai Putinar University of California, Santa Barbara
Zheng O'Neill
Zheng O'Neill Texas A&M University
Bassam Bamieh
Bassam Bamieh University of California, Santa Barbara
James C. Hogg
James C. Hogg University of British Columbia

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

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.

Best Scientists Citing Igor Mezic

Trending Scientists

Recently Published Articles