Earl Hunt

1.6k citations
13 papers · 924 indexed · 1 hit paper · h-index 4
Topics
Speech and dialogue systems (2 papers)Semantic Web and Ontologies (1 paper)Intelligence, Security, War Strategy (1 paper)

In The Last Decade

Earl Hunt

10 papers receiving 872 citations

Hit Papers

Machine learning: An artificial intelligence approach19832026199720111983250500750

Peers

Earl Hunt
Comparison fields: 5 of 117
  • Artificial Intelligence 648
  • Computational Theory and Mathematics 183
  • Information Systems 176
  • Signal Processing 73
  • Computer Networks and Communications 71
Replace Derek Partridge with:
Derek Partridge United Kingdom
Smadar T. Kedar-Cabelli United States
Craig Stanfill United States
C. Gordon Bell United States
Max Bramer United Kingdom
Nicholas V. Findler United States
Tom Bylander United States
Anand S. Rao Australia
Jan Vahrenhold Germany
Yves Lespérance Canada
Earl Hunt relative to Derek Partridge United Kingdom Derek Partridge's profile →
Citations per field
00.5×1.5×2.1×
Derek Partridge · 1×
Citations per year

Countries citing papers authored by Earl Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Earl Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earl Hunt. 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 Earl Hunt. The network helps show where Earl Hunt may publish in the future.

Co-authorship network of co-authors of Earl Hunt

This figure shows the co-authorship network connecting the top 25 collaborators of Earl Hunt. A scholar is included among the top collaborators of Earl Hunt 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 Earl Hunt. Earl Hunt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 1
3
Themes in cognitive science and education
1
4 1
5
Knowledge extraction and the modelling of expertise in a diagnostic task
2
6 72
7
Problem Solving under Time-Constraints,
1
8 0
9
Machine learning: An artificial intelligence approachbreakdown →
817
10
Age Related Changes in Cognition during the Working Years.
7
11
Age Related Changes in Cognition During the Working Years. Final Report, April 1, 1979 through May 31, 1981.
3
12 18
13 1

About Earl Hunt

Earl Hunt is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Cognitive Neuroscience, having authored 13 papers that have together received 924 indexed citations. Recurring topics across this work include Speech and dialogue systems (2 papers), Semantic Web and Ontologies (1 paper) and Intelligence, Security, War Strategy (1 paper). The work is most often cited by research in Artificial Intelligence (648 citations), Computational Theory and Mathematics (183 citations) and Information Systems (176 citations). Frequent co-authors include Steven Poltrock, Christopher Hertzog and Michael Richardson. Their work appears in journals such as SHILAP Revista de lepidopterología, American Psychologist and Journal of Experimental Psychology Human Perception & Performance.

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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