Leaderboards/Fluid Dynamics and Turbulent Flows

Fluid Dynamics and Turbulent Flows

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
M. Vinodkumar Reddy
Dr. Reddy's Laboratories (India)
2
Hamidreza Eivazi
Clausthal University of Technology
3
Jeremy Yu
St. Mark's School of Texas
4
M. Ajithkumar
Amrita Vishwa Vidyapeetham
5
Luca Guastoni
Technical University of Munich
6
Lei Yuan
Hong Kong Polytechnic University
7
Alberto Solera-Rico
Instituto Nacional de Técnica Aeroespacial
8
Kuijun Zuo
Northwestern Polytechnical University
9
Sokratis Anagnostopoulos
École Polytechnique Fédérale de Lausanne
10
Elizabeth K. Benitez
United States Air Force Research Laboratory

Papers

1
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Nature Communications|2024
176 cit.
2
Publication in Computer Methods in Applied Mechanics and Engineering (2024) [149 citations, W4391418547]
Computer Methods in Applied Mechanics and Engineering|2024
149 cit.
3
Magneto-Williamson nanofluid flow past a wedge with activation energy: Buongiorno model
Advances in Mechanical Engineering|2024
60 cit.
4
Physics-informed deep-learning applications to experimental fluid mechanics
Measurement Science and Technology|2024
60 cit.
5
Magnetohydrodynamic stagnation point flow of Williamson hybrid nanofluid via stretching sheet in a porous medium with heat source and chemical reaction
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering|2024
50 cit.
6
Numerical treatment of entropy generation in convective MHD Williamson nanofluid flow with Cattaneo–Christov heat flux and suction/injection
International Journal of Modelling and Simulation|2024
40 cit.
7
Fast simulation of airfoil flow field via deep neural network
Aerospace Science and Technology|2024
39 cit.
8
Investigation of a conducting Casson fluid flow through a porous flexible microfluidic channel with catalytic effects: application in pharmaceutical fluid processing
The European Physical Journal Plus|2024
35 cit.
9
Bioconvective peristaltic transport of hydromagnetic Sutterby nanofluid through a chemically activated porous channel with gyrotactic microorganisms
Journal of Applied Physics|2024
33 cit.
10
Analysis of entropy generation and activation energy on a convective MHD Carreau–Yasuda nanofluid flow over a sheet
Modern Physics Letters B|2024
31 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Paris Perdikaris
University of Pennsylvania
2
Muhammad Imran Khan
Mari Petroleum Company (Pakistan)
3
M. Waqas
National University of Technology
4
Wasim Jamshed
Biruni University
5
Nehad Ali Shah
Sejong University
6
Anwar Saeed
The University of Agriculture, Peshawar
7
Abderrahim Wakif
University of Hassan II Casablanca
8
Sayed M. Eldin
Future University in Egypt
9
Fateh Mebarek‐Oudina
Saveetha University
10
Kh. Hosseinzadeh
University of Mazandaran

Papers

1
Respecting causality for training physics-informed neural networks
Computer Methods in Applied Mechanics and Engineering|2024
269 cit.
2
Wastewater treatment: A short assessment on available techniques
Alexandria Engineering Journal|2023
221 cit.
3
Progress in research and technological advancements of thermal energy storage systems for concentrated solar power
Journal of Energy Storage|2022
196 cit.
4
Hydrogen economy for sustainable development in GCC countries: A SWOT analysis considering current situation, challenges, and prospects
International Journal of Hydrogen Energy|2022
167 cit.
5
Hybrid-nanofluid magneto-convective flow and porous media contribution to entropy generation
International Journal of Numerical Methods for Heat &amp Fluid Flow|2024
158 cit.
6
RETRACTED ARTICLE: Analysis of the Thomson and Troian velocity slip for the flow of ternary nanofluid past a stretching sheet
Scientific Reports|2023
146 cit.
7
Heat and mass transport analysis in radiative time dependent flow in the presence of Ohmic heating and chemical reaction, viscous dissipation: An entropy modeling
Case Studies in Thermal Engineering|2023
141 cit.
8
Review on Nano Enhanced PCMs: Insight on nePCM Application in Thermal Management/Storage Systems
Energies|2023
132 cit.
9
A foundation model for the Earth system
Nature|2025
132 cit.
10
The economics of concentrating solar power (CSP): Assessing cost competitiveness and deployment potential
Renewable and Sustainable Energy Reviews|2024
128 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Ioan Pop
Babeș-Bolyai University
2
George Em Karniadakis
John Brown University
3
Parviz Moin
Flow Analysis (United States)
4
Chi‐Wang Shu
Brown University
5
Ali J. Chamkha
Kuwait College of Science and Technology
6
James A. Sethian
Lawrence Berkeley National Laboratory
7
Fazle Hussain
Texas Tech University
8
Stanley Osher
University of California, Los Angeles
9
D.D. Ganji
Babol Noshirvani University of Technology
10
Dan S. Henningson
KTH Royal Institute of Technology

Papers

1
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Journal of Computational Physics|2018
16.9k cit.
2
Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics|1988
13.9k cit.
3
Efficient Implementation of Weighted ENO Schemes
Journal of Computational Physics|1996
6.5k cit.
4
On the identification of a vortex
Journal of Fluid Mechanics|1995
6.3k cit.
5
Efficient implementation of essentially non-oscillatory shock-capturing schemes, II
Journal of Computational Physics|1989
4.9k cit.
6
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
SIAM Journal on Scientific Computing|2002
4.7k cit.
7
A Level Set Approach for Computing Solutions to Incompressible Two-Phase Flow
Journal of Computational Physics|1994
4.7k cit.
8
Efficient implementation of essentially non-oscillatory shock-capturing schemes
Journal of Computational Physics|1988
4.7k cit.
9
The Split Bregman Method for L1-Regularized Problems
SIAM Journal on Imaging Sciences|2009
4.3k cit.
10
A fast marching level set method for monotonically advancing fronts.
Proceedings of the National Academy of Sciences|1996
3.2k cit.

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