Jay Earley

1.2k total citations · 1 hit paper
14 papers, 751 citations indexed

About

Jay Earley is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Jay Earley has authored 14 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Jay Earley's work include Logic, programming, and type systems (6 papers), Advanced Database Systems and Queries (5 papers) and Semantic Web and Ontologies (3 papers). Jay Earley is often cited by papers focused on Logic, programming, and type systems (6 papers), Advanced Database Systems and Queries (5 papers) and Semantic Web and Ontologies (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

Jay Earley

12 papers receiving 665 citations

Hit Papers

An efficient context-free parsing algorithm 1970 2026 1988 2007 1970 100 200 300 400 500

Peers

Jay Earley
Comparison fields: 5 of 44
  • Artificial Intelligence 621
  • Computational Theory and Mathematics 212
  • Computer Networks and Communications 149
  • Information Systems 111
  • Hardware and Architecture 105
Replace Kathleen Jensen with:
Kathleen Jensen United States
Kent M. Pitman United States
James J. Horning United States
D. H. Bartley United States
A. J. Kfoury United States
Gert Smolka Germany
Guillermo J. Rozas United States
J. E. Mezei United States
M. Wand United States
P. J. Landin United Kingdom
Kathleen Jensen United States View profile →
Citations per field, relative to Jay Earley
Jay Earley · 1×
Citations per year, relative to Jay Earley
Jay Earley · 1×

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).

Fields of papers citing papers by Jay Earley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Earley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jay Earley. The network helps show where Jay Earley may publish in the future.

Co-authorship network of co-authors of Jay Earley

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Earley. A scholar is included among the top collaborators of Jay Earley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay Earley. Jay Earley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 17
5 36
6 21
7 6
8 29
9 14
10 69
11
An efficient context-free parsing algorithm breakdown →
531
12 20
13 5
14
AN N-RECOGNIZER FOR CONTEXT FREE GRAMMARS by
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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