Simon L. Cotter

1.3k citations
24 papers · 643 · 1 hit paper · h-index 10

Impact in

Papers in

Simon L. Cotter

21 papers receiving 592 citations

Simon L. Cotter's Hit Papers

2012 · 333 citations
3330+4+9Years since publication100200300

Peers

Simon L. Cotter
Comparison fields: 5 of 88
  • Statistics and Probability 205
  • Statistics, Probability and Uncertainty 165
  • Artificial Intelligence 233
  • Mathematical Physics 65
  • Modeling and Simulation 28
Replace Masoumeh Dashti with:
Masoumeh Dashti United Kingdom
Claudia Schillings Germany
Aldo Tagliani Italy
Marcelo Pereyra United Kingdom
Tiangang Cui Australia
Shiwei Lan United States
Ilya Timofeyev United States
Aretha L. Teckentrup United Kingdom
Grigori N. Milstein Germany
Xin T. Tong United States
Simon L. Cotter relative to Masoumeh Dashti United Kingdom Masoumeh Dashti's profile →
Citations per field
00.5×3.8×
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hit paper breakdown →
2012333
2 200976
3 201070
4 201826
5 201424
6 201121
7 201619
8 201614
9 201114
10 20219
11 20137
12 20186
13 20135
14 20194
15 20164
16
20144
17 20242
18 20231
19 20121
20 20091

About Simon L. Cotter

Simon L. Cotter is a scholar working on Artificial Intelligence, Molecular Biology, Statistics and Probability, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 24 papers that have together received 643 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (7 papers), Gene Regulatory Network Analysis (6 papers), Markov Chains and Monte Carlo Methods (5 papers), Probabilistic and Robust Engineering Design (4 papers), Statistical Methods and Bayesian Inference (2 papers), Mathematical Approximation and Integration (2 papers), Statistical Methods and Inference (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Statistics and Probability (205 citations), Statistics, Probability and Uncertainty (165 citations), Artificial Intelligence (233 citations), Mathematical Physics (65 citations) and Modeling and Simulation (28 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, David White, Masoumeh Dashti, James C. Robinson, Radek Erban, Alexander Heazell, David F. Anderson, Ioannis G. Kevrekidis and Sally Collins. Their work appears in journals such as Statistics and Computing, SIAM Journal on Scientific Computing, Journal of The Royal Society Interface, SIAM Journal on Numerical Analysis and The Journal of Chemical Physics.

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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