Mary Kathryn Cowles

40 papers and 2.7k indexed citations i.

About

Mary Kathryn Cowles is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Mary Kathryn Cowles has authored 40 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 6 papers in Environmental Engineering. Recurrent topics in Mary Kathryn Cowles’s work include Statistical Methods and Bayesian Inference (12 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (6 papers). Mary Kathryn Cowles is often cited by papers focused on Statistical Methods and Bayesian Inference (12 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (6 papers). Mary Kathryn Cowles collaborates with scholars based in United States, Canada and United Kingdom. Mary Kathryn Cowles's co-authors include Bradley P. Carlin, Bruce A. Smith, Shaowen Wang, Marc P. Armstrong and John E. Connett and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Fields of papers citing papers by Mary Kathryn Cowles

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

Countries citing papers authored by Mary Kathryn Cowles

Since Specialization
Citations

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

Rankless by CCL
2025