David J. Nott

111 papers and 2.0k indexed citations i.

About

David J. Nott is a scholar working on Artificial Intelligence, Statistics and Probability and Water Science and Technology. According to data from OpenAlex, David J. Nott has authored 111 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 75 papers in Statistics and Probability and 9 papers in Water Science and Technology. Recurrent topics in David J. Nott’s work include Bayesian Methods and Mixture Models (49 papers), Statistical Methods and Inference (49 papers) and Statistical Methods and Bayesian Inference (44 papers). David J. Nott is often cited by papers focused on Bayesian Methods and Mixture Models (49 papers), Statistical Methods and Inference (49 papers) and Statistical Methods and Bayesian Inference (44 papers). David J. Nott collaborates with scholars based in Singapore, Australia and United States. David J. Nott's co-authors include Robert Kohn, Minh‐Ngoc Tran, Lucy Marshall, Christopher Drovandi and Ashish Sharma and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Fields of papers citing papers by David J. Nott

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 David J. Nott. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where David J. Nott may publish in the future.

Countries citing papers authored by David J. Nott

Since Specialization
Citations

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

Rankless by CCL
2025