Jon Cockayne

13 papers and 116 indexed citations i.

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 116 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 Model Reduction and Neural Networks (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 Model Reduction and Neural Networks (3 papers). Jon Cockayne collaborates with scholars based in United Kingdom, Germany and United States. Jon Cockayne's co-authors include Chris J. Oates, Mark Girolami, Philipp Hennig, Tim Sullivan and François‐Xavier Briol 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

Fields of papers citing papers by Jon Cockayne

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jon Cockayne. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025