Leaderboards/Computational Physics and Python Applications

Computational Physics and Python Applications

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Oriol Abril
Unknown
2
Zixue Xiang
National University of Defense Technology
3
Simon Danisch
Flanders Make (Belgium)
4
Luke de Oliveira
Lawrence Berkeley National Laboratory
5
Anja Butter
Centre National de la Recherche Scientifique
6
Kevin Anderson
Sandia National Laboratories
7
Paula Maddigan
Victoria University of Wellington
8
Mandy Guo
Google (United States)
9
Amer Farea
Predictive Science (United States)
10
Henning Bahl
Heidelberg University

Rising Stars Papers

1
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges
AI|2024
200 cit.
2
Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network
Applied Soft Computing|2024
25 cit.
3
Precision-machine learning for the matrix element method
SciPost Physics|2024
20 cit.
4
Jet diffusion versus JetGPT – Modern networks for the LHC
SciPost Physics Core|2025
20 cit.
5
Kicking it off(-shell) with direct diffusion
SciPost Physics Core|2024
18 cit.
6
Back to the formula - LHC edition
SciPost Physics|2024
15 cit.
7
Using Physics-Informed Neural Networks for Modeling Biological and Epidemiological Dynamical Systems
Mathematics|2025
13 cit.
8
Physics-informed Neural Implicit Flow neural network for parametric PDEs
Neural Networks|2025
11 cit.
9
Shaded fraction and backtracking in single-axis trackers on rolling terrain
Journal of Renewable and Sustainable Energy|2024
8 cit.
10
Advancing tools for simulation-based inference
SciPost Physics Core|2025
8 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Soumith Chintala
Meta (Israel)
2
Massimo Chiriatti
Ministry of Infrastructures and Transport
3
Sylvain Gugger
Hugging Face
4
Yitao Liu
China Special Equipment Inspection and Research Institute
5
Osvaldo A. Martin
Aalto University
6
Enrique Lizaso
Multiverse Computing (Spain)
7
Martín E. Morales
Unidad Ejecutora Lillo
8
Debora Pelliccia
University of California, Santa Cruz
9
J. Yelton
University of Florida
10
L. Gouskos
John Brown University

Emerging Leaders Papers

1
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation
Unknown Journal|2024
579 cit.
2
<scp>TNT</scp>version 1.6, with a graphical interface for<scp>MacOS</scp>and Linux, including new routines in parallel
Cladistics|2023
465 cit.
3
<b>Bambi</b>: A Simple Interface for Fitting Bayesian Linear Models in <i>Python</i>
Journal of Statistical Software|2022
103 cit.
4
New TNT routines for parallel computing with MPI
Molecular Phylogenetics and Evolution|2022
18 cit.
5
Consumer-Driven Demand-Side Management Using K-Mean Clustering and Integer Programming in Standalone Renewable Grid
Energies|2022
14 cit.
6
Design of Planar Magnetic Integrated LCL-EMI Hybrid Filter for the Grid-Connected Inverter
IEEE Transactions on Industry Applications|2024
12 cit.
7
The transition issue among new nurses in China: A mediation model analysis
International Nursing Review|2023
10 cit.
8
$$\cal{Y}$$-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning
Frontiers of Computer Science|2023
9 cit.
9
Optimal transport for a novel event description at hadron colliders
Physical review. D/Physical review. D.|2023
7 cit.
10
Virtual Inertia Implemented by Quasi-Z-Source Power Converter for Distributed Power System
Energies|2023
5 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Yoshua Bengio
Université de Montréal
2
Gaël Varoquaux
Centre Inria de Saclay
3
P. Żyła
Lawrence Berkeley National Laboratory
4
Mikhail Shaposhnikov
École Polytechnique Fédérale de Lausanne
5
Brian Granger
Naval Information Warfare Center Pacific
6
Walter H. F. Smith
National Oceanic and Atmospheric Administration
7
Fons Rademakers
European Organization for Nuclear Research
8
Harvey Gould
Clark University
9
Oriol Nieto
Adobe Systems (United States)
10
Wangang Zheng
Sinopec (China)

Current Senior Leaders Papers

1
Generative adversarial networks
Communications of the ACM|2020
13.6k cit.
2
Understanding the difficulty of training deep feedforward neural networks
Unknown Journal|2010
12.7k cit.
3
The NumPy Array: A Structure for Efficient Numerical Computation
Computing in Science & Engineering|2011
11.1k cit.
4
<i>Numerical Recipes, The Art of Scientific Computing</i>
American Journal of Physics|1987
10.1k cit.
5
Learning long-term dependencies with gradient descent is difficult
IEEE Transactions on Neural Networks|1994
8.5k cit.
6
Random search for hyper-parameter optimization
Unknown Journal|2012
7.9k cit.
7
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
arXiv (Cornell University)|2015
7.5k cit.
8
New, improved version of generic mapping tools released
Eos|1998
7.4k cit.
9
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning|2009
6.9k cit.
10
Review of Particle Physics
Progress of Theoretical and Experimental Physics|2022
6.3k cit.

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