Leaderboards/Markov Chains and Monte Carlo Methods

Markov Chains and Monte Carlo Methods

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
François-David Collin
Centre National de la Recherche Scientifique
2
Yossi Arjevani
Hebrew University of Jerusalem
3
Wilson Tsakane Mongwe
University of the Witwatersrand
4
Mao Fabrice Djete
École Polytechnique
5
Anas Barakat
Télécom Paris
6
Zongchen Chen
Georgia Institute of Technology
7
Tudor Manole
Massachusetts Institute of Technology
8
Wenlong Mou
Peking University
9
Jonas Latz
University of Manchester
10
Ieva Čepaitė
University of Strathclyde

Rising Stars Papers

1
Plugin estimation of smooth optimal transport maps
The Annals of Statistics|2024
31 cit.
2
Sharp convergence rates for empirical optimal transport with smooth costs
The Annals of Applied Probability|2024
25 cit.
3
Enhancing credit scoring accuracy with a comprehensive evaluation of alternative data
PLoS ONE|2024
23 cit.
4
A novel framework for enhancing transparency in credit scoring: Leveraging Shapley values for interpretable credit scorecards
PLoS ONE|2024
18 cit.
5
Mean field game of mutual holding
The Annals of Applied Probability|2024
3 cit.
6
Background modeling for double Higgs boson production: Density ratios and optimal transport
The Annals of Applied Statistics|2024
3 cit.
7
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
Mathematical Statistics and Learning|2024
1 cit.
8
A Diffusion Process Perspective on Posterior Contraction Rates for Parameters
SIAM Journal on Mathematics of Data Science|2024
1 cit.
9
Spectral Independence via Stability and Applications to Holant-Type Problems
TheoretiCS|2024
1 cit.
10
Deep Gaussian process priors for Bayesian image reconstruction
Inverse Problems|2025
1 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Phan-Minh Nguyen
Stanford University
2
Dan Shepherd
Cheltenham Festivals
3
M. Fays
University of Liège
4
Raphael Zimmer
University of Bonn
5
Daniel Wegmann
SIB Swiss Institute of Bioinformatics
6
Qian Qin
University of Minnesota
7
Blake Woodworth
Institut national de recherche en sciences et technologies du numérique
8
Yair Carmon
Tel Aviv University
9
Shiwei Lan
Arizona State University
10
Alfredo Garbuno-Iñigo
Instituto Tecnológico Autónomo de México

Emerging Leaders Papers

1
Lower bounds for non-convex stochastic optimization
Mathematical Programming|2022
141 cit.
2
A rigorous framework for the mean field limit of multilayer neural networks
Mathematical Statistics and Learning|2023
42 cit.
3
The spatial distribution and temporal trends of livestock damages caused by wolves in Europe
Biological Conservation|2023
26 cit.
4
Wasserstein-based methods for convergence complexity analysis of MCMC with applications
The Annals of Applied Probability|2022
23 cit.
5
Geometric convergence bounds for Markov chains in Wasserstein distance based on generalized drift and contraction conditions
Annales de l Institut Henri Poincaré Probabilités et Statistiques|2022
21 cit.
6
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks
SIAM/ASA Journal on Uncertainty Quantification|2022
21 cit.
7
Convergence rates of two-component MCMC samplers
Bernoulli|2022
8 cit.
8
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract)
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence|2022
7 cit.
9
Bayesian spatiotemporal modeling for inverse problems
Statistics and Computing|2023
6 cit.
10
Accurate Bayesian inference of sex chromosome karyotypes and sex‐linked scaffolds from low‐depth sequencing data
Molecular Ecology Resources|2024
5 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Andrew Gelman
Columbia University
2
Jeffrey S. Rosenthal
University of Toronto
3
Gareth O. Roberts
University of Warwick
4
Arnaud Doucet
University of Cambridge
5
Terrence J. Sejnowski
Salk Institute for Biological Studies
6
Alan D. Sokal
New York University
7
Yuval Peres
Beijing Institute of Mathematical Sciences and Applications
8
Jonathan Weare
Courant Institute of Mathematical Sciences
9
Christian P. Robert
University of Warwick
10
Michael Wolf
University of Vienna

Current Senior Leaders Papers

1
Inference from Iterative Simulation Using Multiple Sequences
Statistical Science|1992
16.7k cit.
2
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Neural Computation|1995
9.2k cit.
3
General Methods for Monitoring Convergence of Iterative Simulations
Journal of Computational and Graphical Statistics|1998
6.1k cit.
4
On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing|2000
4.4k cit.
5
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
Bayesian Analysis|2006
4.1k cit.
6
A Learning Algorithm for Boltzmann Machines*
Cognitive Science|1985
3.3k cit.
7
The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
arXiv (Cornell University)|2014
3.3k cit.
8
Removing electroencephalographic artifacts by blind source separation
Psychophysiology|2000
3.2k cit.
9
Ensemble samplers with affine invariance
Communications in Applied Mathematics and Computational Science|2010
3.1k cit.
10
A well-conditioned estimator for large-dimensional covariance matrices
Journal of Multivariate Analysis|2003
2.9k cit.

Reagents for Markov Chains and Monte Carlo Methods

Citation-validated products used in this field

🔥 Trending

Gaining adoption fast

⭐ Top Rated

Best all-around

🌟 All-Time

Most validated

Cell Signaling TechnologyEvidence 68

Phospho-STING (Ser366) (D8K6H) Rabbit Monoclonal Antibody (SignalFlex™ Pacific Blue™ Conjugate)

#93616$486
View Evidence →
Cell Signaling TechnologyEvidence 62

Thyroglobulin (F5O9B) Rabbit Monoclonal Antibody

#57387$178,415
View Evidence →
Cell Signaling TechnologyEvidence 65

Phospho-PRAS40 (Thr246) (C77D7) Rabbit Monoclonal Antibody (BSA and Azide Free)

#60202$898
View Evidence →