Jon Cockayne

About

Jon Cockayne is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Numerical Analysis. According to data from OpenAlex, Jon Cockayne has authored 13 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Statistics, Probability and Uncertainty and 4 papers in Numerical Analysis. Recurrent topics in Jon Cockayne’s work include Gaussian Processes and Bayesian Inference (8 papers), Probabilistic and Robust Engineering Design (6 papers) and Markov Chains and Monte Carlo Methods (3 papers). Jon Cockayne is often cited by papers focused on Gaussian Processes and Bayesian Inference (8 papers), Probabilistic and Robust Engineering Design (6 papers) and Markov Chains and Monte Carlo Methods (3 papers). Jon Cockayne collaborates with scholars based in United Kingdom, United States and Germany. Jon Cockayne's co-authors include Chris J. Oates, Mark Girolami, Tim Sullivan, François‐Xavier Briol, Ilse C. F. Ipsen, Robert G. Aykroyd, Lester Mackey, Pawel Swietach, Steven Niederer and Philipp Hennig and has published in prestigious journals such as Journal of the American Statistical Association, Monthly Notices of the Royal Astronomical Society and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Jon Cockayne i

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Fields of papers citing papers by Jon Cockayne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jon Cockayne

Since Specialization

Citations

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

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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