Simon L. Cotter

1.3k total citations · 1 hit paper
24 papers, 643 citations indexed

About

Simon L. Cotter is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Simon L. Cotter has authored 24 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Statistics and Probability. Recurrent topics in Simon L. Cotter's work include Gaussian Processes and Bayesian Inference (7 papers), Gene Regulatory Network Analysis (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). Simon L. Cotter is often cited by papers focused on Gaussian Processes and Bayesian Inference (7 papers), Gene Regulatory Network Analysis (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). Simon L. Cotter collaborates with scholars based in United Kingdom, United States and Czechia. Simon L. Cotter's co-authors include Andrew M. Stuart, Gareth O. Roberts, David White, Masoumeh Dashti, James C. Robinson, Radek Erban, Alexander Heazell, David F. Anderson, L. S. Kimpton and Václav Klika and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and Developmental Cell.

In The Last Decade

Simon L. Cotter

21 papers receiving 592 citations

Hit Papers

2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simon L. Cotter United Kingdom 10 233 205 165 106 69 24 643
Tiangang Cui Australia 13 213 0.9× 147 0.7× 257 1.6× 28 0.3× 105 1.5× 36 634
Aldo Tagliani Italy 17 73 0.3× 172 0.8× 279 1.7× 27 0.3× 50 0.7× 83 1.0k
Claudia Schillings Germany 15 102 0.4× 61 0.3× 253 1.5× 18 0.2× 68 1.0× 30 495
Shiwei Lan United States 11 149 0.6× 118 0.6× 69 0.4× 34 0.3× 32 0.5× 24 367
Marcelo Pereyra United Kingdom 18 286 1.2× 256 1.2× 33 0.2× 17 0.2× 54 0.8× 53 930
Ilya Timofeyev United States 15 68 0.3× 52 0.3× 114 0.7× 28 0.3× 53 0.8× 40 1.1k
Grigori N. Milstein Germany 19 59 0.3× 153 0.7× 209 1.3× 66 0.6× 43 0.6× 57 1.6k
Jean‐François Bercher France 16 173 0.7× 147 0.7× 53 0.3× 124 1.2× 15 0.2× 64 860
Johnathan M. Bardsley United States 17 150 0.6× 99 0.5× 60 0.4× 8 0.1× 33 0.5× 44 901
John Harlim United States 18 214 0.9× 26 0.1× 124 0.8× 35 0.3× 161 2.3× 59 1.2k

Countries citing papers authored by Simon L. Cotter

Since Specialization
Citations

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

Fields of papers citing papers by Simon L. Cotter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon L. Cotter. 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 Simon L. Cotter. The network helps show where Simon L. Cotter may publish in the future.

Co-authorship network of co-authors of Simon L. Cotter

This figure shows the co-authorship network connecting the top 25 collaborators of Simon L. Cotter. A scholar is included among the top collaborators of Simon L. Cotter 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 Simon L. Cotter. Simon L. Cotter 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
1.
House, Thomas, et al.. (2024). NuZZ: Numerical Zig-Zag for general models. Statistics and Computing. 34(1). 2 indexed citations
2.
Cotter, Simon L.. (2024). Hierarchical Bayesian Data Selection. Research Explorer (The University of Manchester). 1(1). 1–32.
3.
Płusa, Berenika, et al.. (2023). Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities. Statistics and Computing. 33(5). 1 indexed citations
4.
Yang, Shang‐Da, et al.. (2023). A randomized multi-index sequential Monte Carlo method. Statistics and Computing. 33(5).
5.
Cotter, Simon L., et al.. (2022). Bayesian inference on a microstructural, hyperelastic model of tendon deformation. Journal of The Royal Society Interface. 19(190). 20220031–20220031. 1 indexed citations
6.
Fuente, Roberto de la, et al.. (2021). IVEN: A quantitative tool to describe 3D cell position and neighbourhood reveals architectural changes in FGF4-treated preimplantation embryos. PLoS Biology. 19(7). e3001345–e3001345. 9 indexed citations
7.
Cotter, Simon L., Paul S. Russell, & Colin J. Cotter. (2019). Ensemble Transport Adaptive Importance Sampling. Research Explorer (The University of Manchester). 4 indexed citations
8.
Cotter, Simon L., et al.. (2018). Surrogate accelerated Bayesian inversion for the determination of the thermal diffusivity of a material. Metrologia. 56(1). 15018–15018. 6 indexed citations
9.
Gruenheit, Nicole, Katie Parkinson, Koki Nagayama, et al.. (2018). Cell Cycle Heterogeneity Can Generate Robust Cell Type Proportioning. Developmental Cell. 47(4). 494–508.e4. 26 indexed citations
10.
Anderson, David F. & Simon L. Cotter. (2016). Product-form stationary distributions for deciency zero networks with non-mass action kinetics. Research Explorer (The University of Manchester). 14 indexed citations
11.
Longtine, Mark S., Simon L. Cotter, Carolyn Jones, et al.. (2016). Studies of the dynamics of nuclear clustering in human syncytiotrophoblast. Reproduction. 151(6). 657–671. 19 indexed citations
12.
Cotter, Simon L.. (2016). Constrained approximation of effective generators for multiscale stochastic reaction networks and application to conditioned path sampling. Journal of Computational Physics. 323. 265–282. 4 indexed citations
13.
Cotter, Simon L., Václav Klika, L. S. Kimpton, Sally Collins, & Alexander Heazell. (2014). A stochastic model for early placental development. Journal of The Royal Society Interface. 11(97). 20140149–20140149. 24 indexed citations
14.
Cotter, Simon L., Gareth O. Roberts, Andrew M. Stuart, & David White. (2013). MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster. Statistical Science. 28(3). 564–570. 5 indexed citations
15.
Cotter, Simon L., Tomáš Vejchodský, & Radek Erban. (2013). Adaptive Finite Element Method Assisted by Stochastic Simulation of Chemical Systems. SIAM Journal on Scientific Computing. 35(1). B107–B131. 7 indexed citations
16.
Cotter, Simon L., Gareth O. Roberts, Andrew M. Stuart, & David White. (2012). . Research Explorer (The University of Manchester). 333 indexed citations breakdown →
17.
Cotter, Colin J., et al.. (2012). Bayesian data assimilation in shape registration. SIAM Journal on Scientific Computing. 1 indexed citations
18.
Cotter, Simon L., Konstantinos C. Zygalakis, Ioannis G. Kevrekidis, & Radek Erban. (2011). A constrained approach to multiscale stochastic simulation of chemically reacting systems. The Journal of Chemical Physics. 135(9). 94102–94102. 21 indexed citations
19.
Cotter, Simon L., Masoumeh Dashti, James C. Robinson, & Andrew M. Stuart. (2009). Bayesian inverse problems for functions and applications to fluid mechanics. Inverse Problems. 25(11). 115008–115008. 76 indexed citations
20.
Cotter, Simon L., Masoumeh Dashti, Andrew M. Stuart, et al.. (2009). Approximation of Inverse Problems. AIP conference proceedings. 36–38. 1 indexed citations

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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