2026 Jeffrey S. Rosenthal: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	48	1181	1007	41	36	192	14970

Jeffrey S. Rosenthal 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 Jeffrey S. Rosenthal sits on this spectrum.

42 publications 537+

This scientist: 192 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Jeffrey S. Rosenthal 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 Jeffrey S. Rosenthal sits on this spectrum.

30 D-Index 86+

This scientist: 48 D-Index — 67th percentile

67% 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

2012 - Fellow of the Royal Society of Canada Academy of Science
2007 - COPSS Presidents' Award For fundamental contributions to probability theory, stochastic processes, and Markov Chain Monte Carlo (MCMC) algorithms, with applications to statistics; for seminal contributions to the theoretical underpinnings of the convergence rates of MCMC algorithms; for his prolific record of collaboration, resulting in significant publications in economics, mathematical finance, artificial intelligence, and survival analysis; for outstanding mentoring; and for his extraordinary skill at the communication of some of the deeper ideas of our discipline through the media (print, radio, and television) and through the publication of a general audience book on probability in real life which, less than 2 years after publication, is in its 6th printing.

Overview

Jeffrey S. Rosenthal is affiliated with the University of Toronto in Canada and has a significant research output in the fields of Mathematics and Computer Science. Their work prominently features in subfields such as Statistics and Probability, Artificial Intelligence, Mathematical Physics, Computer Vision and Pattern Recognition, and Economics and Econometrics.

The main topics addressed by their research include:

Markov Chains and Monte Carlo Methods
Statistical Methods and Inference
Bayesian Methods and Mixture Models
Stochastic processes and statistical mechanics
Machine Learning and Algorithms
Theoretical and Computational Physics
Sports Analytics and Performance

They are frequently published in venues such as:

arXiv (Cornell University)
Journal of Applied Probability
Communications in Statistics - Simulation and Computation
Canadian Journal of Statistics
Methodology And Computing In Applied Probability

Recent publications include:

Optimal scaling of random-walk metropolis algorithms on general target distributions, 2020, Stochastic Processes and their Applications
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection, 2022, Journal of the Royal Statistical Society Series B (Statistical Methodology)
Ergodicity of Markov Processes via Nonstandard Analysis, 2021, Memoirs of the American Mathematical Society
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data, 2021, Spatial Statistics
Jump Markov chains and rejection-free Metropolis algorithms, 2021, Computational Statistics

Their frequent co-authors include:

Gareth O. Roberts
Aki Dote
Hirotaka Tamura
Ali Sheikholeslami
Jun Yang

Awards received by Jeffrey S. Rosenthal include:

Fellow of the Royal Society of Canada (2012), Academy of Science
COPSS Presidents' Award (2007), for fundamental contributions to probability theory, stochastic processes, and Markov Chain Monte Carlo (MCMC) algorithms, with applications to statistics; for seminal contributions to the theoretical underpinnings of the convergence rates of MCMC algorithms; for prolific collaboration resulting in publications in economics, mathematical finance, artificial intelligence, and survival analysis; for mentoring; and for communication of key discipline ideas through media and a general audience book on probability

Best Publications

Optimal scaling for various Metropolis-Hastings algorithms

Gareth O. Roberts;Jeffrey S. Rosenthal

1545
Citations
Examples of Adaptive MCMC

Gareth O. Roberts;Jeffrey S. Rosenthal

1306
Citations
General state space Markov chains and MCMC algorithms

Gareth O. Roberts;Jeffrey S. Rosenthal

991
Citations
Optimal scaling of discrete approximations to Langevin diffusions

Gareth O. Roberts;Jeffrey S. Rosenthal

786
Citations
Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo

Jeffrey S. Rosenthal

624
Citations
COUPLING AND ERGODICITY OF ADAPTIVE MARKOV CHAIN MONTE CARLO ALGORITHMS

Gareth O. Roberts;Jeffrey S. Rosenthal

533
Citations
On adaptive Markov chain Monte Carlo algorithms

Yves F. Atchadé;Jeffrey S. Rosenthal

467
Citations
Link analysis ranking: algorithms, theory, and experiments

Allan Borodin;Gareth O. Roberts;Jeffrey S. Rosenthal;Panayiotis Tsaparas

432
Citations
Geometric Ergodicity and Hybrid Markov Chains

Gareth O. Roberts;Jeffrey S. Rosenthal

403
Citations
Finding authorities and hubs from link structures on the World Wide Web

Allan Borodin;Gareth O. Roberts;Jeffrey S. Rosenthal;Panayiotis Tsaparas

390
Citations
Finding Generators for Markov Chains via Empirical Transition Matrices, with Applications to Credit Ratings

Robert B. Israel;Jeffrey S. Rosenthal;Jason Z. Wei

384
Citations
Convergence rates for Markov chains

Jeffrey S. Rosenthal

281
Citations
A First Look at Rigorous Probability Theory

Jeffrey Seth Rosenthal

222
Citations
Markov‐chain monte carlo: Some practical implications of theoretical results

Gareth O. Roberts;Jeffrey S. Rosenthal

202
Citations
On the efficiency of pseudo-marginal random walk Metropolis algorithms

Chris Sherlock;Alexandre H. Thiery;Gareth O. Roberts;Jeffrey S. Rosenthal

200
Citations
Probability and Statistics: The Science of Uncertainty

Michael J. Evans;Jeffrey S. Rosenthal

199
Citations
Convergence of slice sampler Markov chains

Gareth O. Roberts;Jeffrey S. Rosenthal

185
Citations
Learn From Thy Neighbor: Parallel-Chain and Regional Adaptive MCMC

Radu V. Craiu;Jeffrey Rosenthal;Chao Yang

165
Citations
Active Learning Strategies in Advanced Mathematics Classes.

Jeffrey S. Rosenthal

151
Citations
Harris recurrence of Metropolis-within-Gibbs and trans-dimensional Markov chains

Gareth O. Roberts;Jeffrey S. Rosenthal

146
Citations

Frequent Co-Authors

Gareth O. Roberts University of Warwick

James Allen Fill Johns Hopkins University

Xiao-Li Meng Harvard University

Johan Segers Université Catholique de Louvain

Robin Pemantle University of Pennsylvania

Panayiotis Tsaparas University of Ioannina

Eric Moulines Mohamed bin Zayed University of Artificial Intelligence

Allan Borodin University of Toronto

Arnaud Doucet University of Oxford

Bani K. Mallick Texas A&M University

External Links

Wikipedia of Jeffrey S. Rosenthal Personal website of Jeffrey S. Rosenthal Google Scholar page

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