David G. Hays

1.3k citations
44 papers · 670 indexed · h-index 11
Topics
Natural Language Processing Techniques (5 papers)Categorization, perception, and language (4 papers)Cross-Cultural and Social Analysis (4 papers)
Partner nations
United States

In The Last Decade

David G. Hays

35 papers receiving 483 citations

Peers

David G. Hays
Comparison fields: 5 of 98
  • Artificial Intelligence 306
  • Language and Linguistics 134
  • Experimental and Cognitive Psychology 120
  • Cultural Studies 91
  • Social Psychology 82
Replace J. R. Firth with:
J. R. Firth United Kingdom
Michael B. Kac United States
T. Mark Ellison Australia
Manfred Bierwisch Germany
Patrick Juola United States
Eros Zanchetta Italy
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Richard Montague United States
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David G. Hays relative to J. R. Firth United Kingdom J. R. Firth's profile →
Citations per field
00.5×3.4×
J. R. Firth · 1×
Citations per year

Countries citing papers authored by David G. Hays

Since Specialization
Citations

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

Fields of papers citing papers by David G. Hays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Hays. 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 David G. Hays. The network helps show where David G. Hays may publish in the future.

Co-authorship network of co-authors of David G. Hays

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Chomsky hierarchy
0
3 5
4 7
5
A Note on Why Natural Selection Leads to Complexity
1
6
Principles and Development of Natural Intelligence
1
7
Metaphor, Recognition, and Neural Process
0
8 7
9
Types of Processes on Cognitive Networks.
6
10
COMPUTATIONAL LINGUISTICS: BIBLIOGRAPHY, 1967,
1
11
Annotated Bibliography of RAND Publications in Computational Linguistics
2
12
AN ANNOTATED BIBLIOGRAPHY OF PUBLICATIONS ON DEPENDENCY THEORY
1
13
Connectability calculations, syntactic functions, and Russian syntax.
3
14 236
15 11
16
Manual for postediting Russian text.
0
17
GROUPING AND DEPENDENCY THEORIES
23
18
THE USE OF MACHINES IN THE CONSTRUCTION OF A GRAMMAR AND COMPUTER PROGRAM FOR STRUCTURAL ANALYSIS
4
19
Research Methodology for Machine Translation
2
20 36

About David G. Hays

David G. Hays is a scholar working on Experimental and Cognitive Psychology, Anthropology and Communication, having authored 44 papers that have together received 670 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Categorization, perception, and language (4 papers) and Cross-Cultural and Social Analysis (4 papers). The work is most often cited by research in Language and Linguistics (134 citations), Cultural Studies (91 citations) and Artificial Intelligence (306 citations). David G. Hays has collaborated with scholars based in United States. Frequent co-authors include Edgar F. Borgatta, William L. Benzon, Raoul Naroll, Jürgen Ruesch, Andrew Henry, Roman Jakobson, Robert R. Bush, H. P. Edmundson and Igor Mel’čuk. Their work appears in journals such as American Sociological Review, Mathematics of Computation and Language.

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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