Seymour Geisser

80 papers and 12.8k indexed citations i.

About

Seymour Geisser is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Seymour Geisser has authored 80 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Seymour Geisser’s work include Advanced Statistical Methods and Models (22 papers), Statistical Methods and Bayesian Inference (16 papers) and Bayesian Methods and Mixture Models (9 papers). Seymour Geisser is often cited by papers focused on Advanced Statistical Methods and Models (22 papers), Statistical Methods and Bayesian Inference (16 papers) and Bayesian Methods and Mixture Models (9 papers). Seymour Geisser collaborates with scholars based in United States, Poland and Israel. Seymour Geisser's co-authors include Wesley O. Johnson, Peter Enis, William F. Eddy, Walter Johnson and Samuel W. Greenhouse and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Molecular Biology and Technometrics.

In The Last Decade

Fields of papers citing papers by Seymour Geisser

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

Countries citing papers authored by Seymour Geisser

Since Specialization
Citations

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

Rankless by CCL
2025