Jeff Dean

18 papers and 10.6k indexed citations i.

About

Jeff Dean is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Jeff Dean has authored 18 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Jeff Dean’s work include Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (3 papers) and Advanced Neural Network Applications (3 papers). Jeff Dean is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (3 papers) and Advanced Neural Network Applications (3 papers). Jeff Dean collaborates with scholars based in United States, Poland and Israel. Jeff Dean's co-authors include Greg S. Corrado, Tomáš Mikolov, Kai Chen, Ilya Sutskever, Katherine Chou, Andre Esteva, Marc’Aurelio Ranzato, Volodymyr Kuleshov, Mark A. DePristo and Sebastian Thrun and has published in prestigious journals such as Nature, Nature Medicine and Computer.

In The Last Decade

Co-authorship network of co-authors of Jeff Dean i

Fields of papers citing papers by Jeff Dean

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

Countries citing papers authored by Jeff Dean

Since Specialization
Citations

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

Rankless by CCL
2025