Leaderboards/Bayesian Methods and Mixture Models

Bayesian Methods and Mixture Models

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Fatima Batool
University College London
2
François-David Collin
Centre National de la Recherche Scientifique
3
Lin Huang
University of Maryland, College Park
4
William I. Jay
Colorado State University
5
Wodan Ling
Fred Hutch Cancer Center
6
Adil Abdu Bushra
Dongguk University
7
Kayvan Aflaki
University of Toronto
8
Grégoire Preud’homme
Inserm
9
Tomás Capretto
National University of Rosario
10
Jiawang Bai
University Town of Shenzhen

Rising Stars Papers

1
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
Unknown Journal|2024
18 cit.
2
AutoSCAN: automatic detection of DBSCAN parameters and efficient clustering of data in overlapping density regions
PeerJ Computer Science|2024
9 cit.
3
Sexual behavior is linked to changes in gut microbiome and systemic inflammation that lead to HIV-1 infection in men who have sex with men
Communications Biology|2024
8 cit.
4
Maternal Deaths Using Coroner’s Data: A Latent Class Analysis
Journal of Obstetrics and Gynaecology Canada|2024
5 cit.
5
Maternal Deaths by Suicide and Drug Overdose in Two Canadian Provinces; Retrospective Review
Journal of Obstetrics and Gynaecology Canada|2024
4 cit.
6
A Study of Short-Chain Fatty Acids During the Canalicular and Early Saccular Phases of Fetal Lung Development and Childhood Asthma
Genes|2024
4 cit.
7
Deciphering Gut Microbiome in Colorectal Cancer via Robust Learning Methods
Genes|2025
3 cit.
8
Risk factors analysis and prediction models of obesity in college students based on dietary patterns
Frontiers in Nutrition|2025
2 cit.
9
Investigating the association of bioelectrical impedance analysis–derived phase angle and depressive symptoms in patients receiving maintenance hemodialysis: a cross-sectional study
Frontiers in Nutrition|2025
2 cit.
10
Bayesian analysis and analytic continuation of scattering amplitudes from lattice QCD
Physical review. D/Physical review. D.|2025
2 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Zhanhao Zhang
China Railway Group (China)
2
Tom Zylkin
University of Richmond
3
Stephan Mandt
Irvine University
4
Peter Zeidman
Wellcome Centre for Human Neuroimaging
5
Dejan Draschkow
University of Oxford
6
Anja van der Voort
Leiden University
7
Benjamin Säfken
University of Göttingen
8
Nathaniel Graham
Texas A&M International University
9
Jialei Liu
Hubei University of Arts and Science
10
Zheng Wen
Adobe Systems (United States)

Emerging Leaders Papers

1
Auto-Encoding Variational Bayes
Cambridge Explorations in Arts and Sciences|2024
1k cit.
2
Supervised Compression for Resource-Constrained Edge Computing Systems
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)|2022
75 cit.
3
A primer on Variational Laplace (VL)
NeuroImage|2023
39 cit.
4
Computationally-Efficient Neural Image Compression with Shallow Decoders
Unknown Journal|2023
34 cit.
5
Remote virtual reality as a tool for increasing external validity
Nature Reviews Psychology|2022
33 cit.
6
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data
Computational Statistics|2022
33 cit.
7
Cooperative Resource Allocation for Computation-Intensive IIoT Applications in Aerial Computing
IEEE Internet of Things Journal|2022
21 cit.
8
The effects of free trade agreements on product-level trade
European Economic Review|2024
19 cit.
9
Heading Direction Tracks Internally Directed Selective Attention in Visual Working Memory
Journal of Cognitive Neuroscience|2023
15 cit.
10
Comparing storm resolving models and climates via unsupervised machine learning
Scientific Reports|2023
14 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Michael I. Jordan
University of California, Berkeley
2
Donald B. Rubin
Tsinghua University
3
Wayne A. Fuller
Iowa State University
4
Fredrik Ronquist
Swedish Museum of Natural History
5
Max Welling
University of California, Irvine
6
Bengt Muthén
University of California, Los Angeles
7
Adrian E. Raftery
University of Washington
8
A. F. M. Smith
Imperial College London
9
J. A. Graham
San Diego Supercomputer Center
10
David M. Blei
Princeton University

Current Senior Leaders Papers

1
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Journal of the Royal Statistical Society Series B (Statistical Methodology)|1977
49.7k cit.
2
The central role of the propensity score in observational studies for causal effects
Biometrika|1983
31k cit.
3
MrBayes 3: Bayesian phylogenetic inference under mixed models
Bioinformatics|2003
29.4k cit.
4
MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
Systematic Biology|2012
28k cit.
5
Latent dirichlet allocation
Journal of Machine Learning Research|2003
27k cit.
6
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Journal of the American Statistical Association|1979
23k cit.
7
MRBAYES: Bayesian inference of phylogenetic trees
Bioinformatics|2001
22.2k cit.
8
Statistical Analysis With Missing Data
Journal of the American Statistical Association|1989
17.5k cit.
9
Inference from Iterative Simulation Using Multiple Sequences
Statistical Science|1992
16.7k cit.
10
Auto-Encoding Variational Bayes
UvA-DARE (University of Amsterdam)|2013
15.6k cit.

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