Geoff Pleiss

About

Geoff Pleiss is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Geoff Pleiss has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in Geoff Pleiss’s work include Gaussian Processes and Bayesian Inference (6 papers), Machine Learning and Data Classification (5 papers) and Neural Networks and Applications (3 papers). Geoff Pleiss is often cited by papers focused on Gaussian Processes and Bayesian Inference (6 papers), Machine Learning and Data Classification (5 papers) and Neural Networks and Applications (3 papers). Geoff Pleiss collaborates with scholars based in United States, China and United Kingdom. Geoff Pleiss's co-authors include Kilian Q. Weinberger, Jacob R. Gardner, Andrew Gordon Wilson, Zhuang Liu and Gao Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Hydrometeorology.

In The Last Decade

Fields of papers citing papers by Geoff Pleiss

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

Countries citing papers authored by Geoff Pleiss

Since Specialization

Citations

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

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