Simon L. Cotter

1.3k citations
27 papers · 842 · h-index 10

Impact in

Papers in

Simon L. Cotter

24 papers receiving 768 citations

Peers

Simon L. Cotter
Comparison fields: 5 of 75
  • Statistics and Probability 342
  • Mathematical Physics 194
  • Statistical and Nonlinear Physics 100
  • Statistics, Probability and Uncertainty 73
  • Modeling and Simulation 19
Replace Masoumeh Dashti with:
Masoumeh Dashti United Kingdom
Noémi Petra United States
Claudia Schillings Germany
Tiangang Cui Australia
Arvind Krishna Saibaba United States
Antti Solonen Finland
Shiwei Lan United States
Herold Dehling Germany
Matthias Morzfeld United States
Bamdad Hosseini United States
Simon L. Cotter relative to Masoumeh Dashti United Kingdom Masoumeh Dashti's profile →
Citations per field
00.5×2×3.2×
Masoumeh Dashti · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Simon L. Cotter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon L. Cotter Line = papers co-authored together Simon L. Cotter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MCMC Methods for Functions: Modifying\nOld Algorithms to Make Them Faster
2012436
2 2009102
3 201095
4 201631
5 201427
6 201826
7 201125
8 201622
9 201114
10 202110
11 20139
12 20137
13 20137
14 20187
15 20166
16 20196
17 20243
18 20202
19 20232
20 20091

About Simon L. Cotter

Simon L. Cotter is a scholar working on Statistics and Probability, Mathematical Physics, Biophysics, Obstetrics and Gynecology and Statistical and Nonlinear Physics, having authored 27 papers that have together received 842 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (12 papers), Gene Regulatory Network Analysis (4 papers), Stochastic processes and statistical mechanics (3 papers), Numerical methods in inverse problems (3 papers), Pregnancy and preeclampsia studies (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Oceanographic and Atmospheric Processes (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Statistics and Probability (342 citations), Mathematical Physics (194 citations), Statistical and Nonlinear Physics (100 citations), Statistics, Probability and Uncertainty (73 citations) and Modeling and Simulation (19 citations). Simon L. Cotter has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Andrew M. Stuart, Gareth O. Roberts, Masoumeh Dashti, James C. Robinson, David F. Anderson, Radek Erban A, Alexander E. P. Heazell, Yannis Kevrekidis, Konstantinos C. Zygalakis and L. S. Kimpton. Their work appears in journals such as Statistics and Computing, Journal of The Royal Society Interface, SIAM/ASA Journal on Uncertainty Quantification, Inverse Problems and Reproduction.

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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