Jay Earley

10 papers and 814 indexed citations i.

About

Jay Earley is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Jay Earley has authored 10 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Jay Earley’s work include Logic, programming, and type systems (5 papers), Advanced Database Systems and Queries (4 papers) and Algorithms and Data Compression (3 papers). Jay Earley is often cited by papers focused on Logic, programming, and type systems (5 papers), Advanced Database Systems and Queries (4 papers) and Algorithms and Data Compression (3 papers). Jay Earley collaborates with scholars based in United States. Jay Earley's co-authors include Howard E. Sturgis and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and Acta Informatica.

In The Last Decade

Fields of papers citing papers by Jay Earley

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

Countries citing papers authored by Jay Earley

Since Specialization
Citations

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

Rankless by CCL
2025