Andrew M. Stuart

19.4k citations
208 papers · 9.7k indexed · 3 hit papers · h-index 49
Topics
Markov Chains and Monte Carlo Methods (48 papers)Gaussian Processes and Bayesian Inference (47 papers)Probabilistic and Robust Engineering Design (29 papers)
Journals
CellThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología

In The Last Decade

Andrew M. Stuart

203 papers receiving 8.9k citations

Hit Papers

Inverse problems: A Bayesian perspective2008202620142020201020082012250500750

Peers

Andrew M. Stuart
Comparison fields: 5 of 167
  • Artificial Intelligence 2.0k
  • Statistical and Nonlinear Physics 1.8k
  • Computational Mechanics 1.7k
  • Statistics and Probability 1.6k
  • Computational Theory and Mathematics 1.4k
Replace I. S. Gradshteyn with:
I. S. Gradshteyn United States
Carl de Boor United States
Cédric Villani France
Christoph Schwab Switzerland
Bernt Øksendal Norway
Ronald DeVore United States
Lloyd N. Trefethen United Kingdom
Arnulf Jentzen Germany
Alan Jeffrey United Kingdom
I.M. RYZHIK United States
Andrew M. Stuart relative to I. S. Gradshteyn United States I. S. Gradshteyn's profile →
Citations per field
00.5×
I. S. Gradshteyn · 1×
Citations per year

Countries citing papers authored by Andrew M. Stuart

Since Specialization
Citations

This map shows the geographic impact of Andrew M. Stuart's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew M. Stuart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew M. Stuart more than expected).

Fields of papers citing papers by Andrew M. Stuart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew M. Stuart. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew M. Stuart. The network helps show where Andrew M. Stuart may publish in the future.

Co-authorship network of co-authors of Andrew M. Stuart

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Stuart. A scholar is included among the top collaborators of Andrew M. Stuart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew M. Stuart. Andrew M. Stuart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 4
3 3
4 2
5 0
6 9
7 27
8 24
9 67
10
Multipole Graph Neural Operator for Parametric Partial Differential Equations
8
11 73
12 33
13 48
14 51
15 12
16
Gaussian approximations for transition paths in molecular dynamics
2
17
Sparse MCMC gpc Finite Element Methods for Bayesian Inverse Problems
3
18
Optimal Proposal Design for Random Walk Type Metropolis Algorithms with Gaussian Random Field Priors
1
19
On the random walk metropolis algorithm for Gaussian random field priors and the gradient flow
2
20 1

About Andrew M. Stuart

Andrew M. Stuart is a scholar working on Statistics and Probability, Numerical Analysis and Statistics, Probability and Uncertainty, having authored 208 papers that have together received 9.7k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (48 papers), Gaussian Processes and Bayesian Inference (47 papers) and Probabilistic and Robust Engineering Design (29 papers). The work is most often cited by research in Numerical Analysis (1.2k citations), Statistics and Probability (1.6k citations) and Statistics, Probability and Uncertainty (1.3k citations). Andrew M. Stuart has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include A. R. Humphries, Grigorios A. Pavliotis, Desmond J. Higham, Kody J. H. Law, Charles M. Elliott, Xuerong Mao, O. A. González, Gareth O. Roberts, Jonathan C. Mattingly and Marco Iglesias. Their work appears in journals such as Cell, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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