Samuel Livingstone

726 total citations · 1 hit paper
9 papers, 309 citations indexed

About

Samuel Livingstone is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Samuel Livingstone has authored 9 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 5 papers in Mathematical Physics and 4 papers in Artificial Intelligence. Recurrent topics in Samuel Livingstone's work include Markov Chains and Monte Carlo Methods (7 papers), Stochastic processes and statistical mechanics (5 papers) and Statistical Methods and Inference (3 papers). Samuel Livingstone is often cited by papers focused on Markov Chains and Monte Carlo Methods (7 papers), Stochastic processes and statistical mechanics (5 papers) and Statistical Methods and Inference (3 papers). Samuel Livingstone collaborates with scholars based in United Kingdom, Italy and United States. Samuel Livingstone's co-authors include Mark Girolami, Simon Byrne, Michael Betancourt, Chris Sherlock, Christophe Andrieu, Heiko Strathmann, Arthur Gretton, Dino Sejdinović, Zoltán Szabó and Jim E. Griffin and has published in prestigious journals such as Biometrika, The Annals of Statistics and Statistical Science.

In The Last Decade

Samuel Livingstone

8 papers receiving 295 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The geometric foundations of Hamiltonian Monte Carlo

2017 220 citations Michael Betancourt, Simon Byrne et al. Bernoulli profile →

Peers

Countries citing papers authored by Samuel Livingstone

Since Specialization

Citations

This map shows the geographic impact of Samuel Livingstone'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 Samuel Livingstone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Livingstone more than expected).

Fields of papers citing papers by Samuel Livingstone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Livingstone. 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 Samuel Livingstone. The network helps show where Samuel Livingstone may publish in the future.

Co-authorship network of co-authors of Samuel Livingstone

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Livingstone. A scholar is included among the top collaborators of Samuel Livingstone 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 Samuel Livingstone. Samuel Livingstone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning 2024 ·Statistical Science ·(unknown), Samuel Livingstone	0
2	Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models 2023 ·Entropy ·(unknown), Samuel Livingstone, Jim E. Griffin	1
3	Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms 2022 ·Biometrika ·(unknown), Samuel Livingstone, (unknown)	3
4	Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection 2022 ·Statistics and Computing ·(unknown), Samuel Livingstone, Jim E. Griffin	3
5	Peskun–Tierney ordering for Markovian Monte Carlo: Beyond the reversible scenario 2021 ·The Annals of Statistics ·Christophe Andrieu, Samuel Livingstone	14
6	On the robustness of gradient-based MCMC algorithms 2019 ·arXiv (Cornell University) ·Samuel Livingstone, (unknown)	4
7	The geometric foundations of Hamiltonian Monte Carlo breakdown → 2017 ·Bernoulli ·Michael Betancourt, Simon Byrne, Samuel Livingstone, Mark Girolami	220
8	Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families 2015 ·arXiv (Cornell University) ·Heiko Strathmann, Dino Sejdinović, Samuel Livingstone, Zoltán Szabó, Arthur Gretton	14
9	Langevin diffusions and the Metropolis-adjusted Langevin algorithm 2014 ·Statistics & Probability Letters ·(unknown), Chris Sherlock, Samuel Livingstone, Simon Byrne, Mark Girolami	50

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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