Eric Eaton

50 papers and 1.0k indexed citations i.

About

Eric Eaton is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Eric Eaton has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Management Science and Operations Research. Recurrent topics in Eric Eaton’s work include Domain Adaptation and Few-Shot Learning (16 papers), Reinforcement Learning in Robotics (9 papers) and Adaptation to Concept Drift in Data Streams (5 papers). Eric Eaton is often cited by papers focused on Domain Adaptation and Few-Shot Learning (16 papers), Reinforcement Learning in Robotics (9 papers) and Adaptation to Concept Drift in Data Streams (5 papers). Eric Eaton collaborates with scholars based in United States, Canada and United Kingdom. Eric Eaton's co-authors include Paul Ruvolo, Haitham Bou Ammar, José Marcio Luna, Marie desJardins and Mohammad Rostami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Fields of papers citing papers by Eric Eaton

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

Countries citing papers authored by Eric Eaton

Since Specialization
Citations

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

Rankless by CCL
2025