2026 Petros Koumoutsakos: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	84	402	379	141	129	451	33394

Research.com Recognitions

2018 - Member of the National Academy of Engineering For contributions to computational methods and simulations for fluid mechanics, nanotechnology, and biology.
2015 - SIAM Fellow For pioneering work in numerical methods and high-performance computing, multiscale modeling and computational fluid dynamics, and computational biology.
2013 - ACM Gordon Bell Prize For "11 PFLOP/s Simulations of Cloud Cavitation Collapse."
2012 - Fellow of American Physical Society (APS) Citation For his pioneering contributions in the development of vortex methods, multiscale particle methods, and bioinspired optimization algorithms and his insightful use of these methods to advance fundamental understanding of bluff body flows, biological flows, and nanofluidics

Overview

Petros Koumoutsakos is affiliated with Harvard University in the United States, where their research spans engineering with a particular focus on computational mechanics and artificial intelligence.

Their work is situated in several subfields, including:

Computational Mechanics
Artificial Intelligence
Statistical and Nonlinear Physics
Biomedical Engineering
Modeling and Simulation

Koumoutsakos's main topics of research cover:

Model Reduction and Neural Networks
Fluid Dynamics and Turbulent Flows
Micro and Nano Robotics
COVID-19 epidemiological studies
Lattice Boltzmann Simulation Studies
Blood properties and coagulation
Neural Networks and Applications

The scientist has contributed to multiple publications, including significant recent papers such as:

"Automating turbulence modelling by multi-agent reinforcement learning," 2021, Nature Machine Intelligence
"Scientific multi-agent reinforcement learning for wall-models of turbulent flows," 2022, Nature Communications
"Multiscale simulations of complex systems by learning their effective dynamics," 2022, Nature Machine Intelligence
"Accelerated Simulations of Molecular Systems through Learning of Effective Dynamics," 2021, Journal of Chemical Theory and Computation
"Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries," 2020, Swiss Medical Weekly

Frequent co-authors in their collaborations include:

Petr Karnakov
Georgios Arampatzis
Sergey Litvinov
Lucas Amoudruz
Costas Papadimitriou

Regarding venues for Koumoutsakos's research, some of the frequent publication outlets are:

arXiv (Cornell University)
Physical Review Fluids
Nature Machine Intelligence
Nature Communications
bioRxiv (Cold Spring Harbor Laboratory)

Petros Koumoutsakos has been recognized with several awards for their work, including:

Member of the National Academy of Engineering, 2018, for contributions to computational methods and simulations for fluid mechanics, nanotechnology, and biology
SIAM Fellow, 2015, for pioneering work in numerical methods and high-performance computing, multiscale modeling and computational fluid dynamics, and computational biology
ACM Gordon Bell Prize, 2013, for simulations of cloud cavitation collapse
Fellow of American Physical Society (APS), 2012, for contributions in vortex methods, multiscale particle methods, and bioinspired optimization algorithms

Best Publications

Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)

Nikolaus Hansen;Sibylle D. Müller;Petros Koumoutsakos

2955
Citations
Machine Learning for Fluid Mechanics

Steven L. Brunton;Bernd R. Noack;Bernd R. Noack;Petros Koumoutsakos

2641
Citations
Feature point tracking and trajectory analysis for video imaging in cell biology

I.F. Sbalzarini;P. Koumoutsakos

1734
Citations
On the Water−Carbon Interaction for Use in Molecular Dynamics Simulations of Graphite and Carbon Nanotubes

T. Werder;Jens Honore Walther;R.L. Jaffe;T. Halicioglu

1589
Citations
TScratch: a novel and simple software tool for automated analysis of monolayer wound healing assays.

Tobias Gebäck;Martin Michael Peter Schulz;Petros Koumoutsakos;Michael Detmar

781
Citations
Carbon Nanotubes in Water: Structural Characteristics and Energetics

Jens Honore Walther;R. Jaffe;T. Halicioglu;P. Koumoutsakos

618
Citations
High-resolution simulations of the flow around an impulsively started cylinder using vortex methods

Petros Koumoutsakos;A. Leonard

575
Citations
MorphoGraphX: A platform for quantifying morphogenesis in 4D

Pierre Barbier de Reuille;Anne-Lise Routier-Kierzkowska;Daniel Kierzkowski;George W Bassel

563
Citations
Neural network modeling for near wall turbulent flow

Michele Milano;Petros Koumoutsakos

531
Citations
Simulations of optimized anguilliform swimming.

Stefan Kern;Petros Koumoutsakos

490
Citations
Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

Pantelis R. Vlachas;Wonmin Byeon;Zhong Y. Wan;Themistoklis P. Sapsis

465
Citations
Efficient collective swimming by harnessing vortices through deep reinforcement learning.

Siddhartha Verma;Guido Novati;Petros Koumoutsakos

451
Citations
MULTISCALE FLOW SIMULATIONS USING PARTICLES

Petros Koumoutsakos

436
Citations
Accelerating evolutionary algorithms with Gaussian process fitness function models

D. Buche;N.N. Schraudolph;P. Koumoutsakos

427
Citations
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics

Pantelis R. Vlachas;Jaideep Pathak;Brian R. Hunt;Themistoklis P. Sapsis

414
Citations
A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion

N. Hansen;A.S.P. Niederberger;L. Guzzella;P. Koumoutsakos

384
Citations
Dispersion corrections to density functionals for water aromatic interactions

Urs Zimmerli;Michele Parrinello;Petros Koumoutsakos

384
Citations
Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review

Stefan Kern;Sibylle D. Müller;Nikolaus Hansen;Dirk Büche

342
Citations
Hybrid atomistic-continuum method for the simulation of dense fluid flows

Thomas Werder;Jens H. Walther;Petros Koumoutsakos

323
Citations
A theoretical prediction of friction drag reduction in turbulent flow by superhydrophobic surfaces

Koji Fukagata;Nobuhide Kasagi;Petros Koumoutsakos

322
Citations
Molecular Dynamics Simulation of Contact Angles of Water Droplets in Carbon Nanotubes

Thomas Werder;Jens Honore Walther;Richard L. Jaffe;Timur Halicioglu

315
Citations