John Hale

52 papers receiving 2.6k citations

Peers

John Hale
Comparison fields: 5 of 59
  • Cognitive Neuroscience 1.7k
  • Language and Linguistics 800
  • Developmental and Educational Psychology 570
  • Artificial Intelligence 745
  • Experimental and Cognitive Psychology 147
Replace Stefan L. Frank with:
Stefan L. Frank Netherlands
Matthew W. Crocker Germany
Gerard Kempen Netherlands
Patrick Sturt United Kingdom
Vera Demberg Germany
Amy S. Weinberg United States
Fermı́n Moscoso del Prado Martı́n United States
Yuki Kamide United Kingdom
Janet Dean Fodor United States
Greg N. Carlson United States
John Hale relative to Stefan L. Frank Netherlands Stefan L. Frank's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Hale

Since Specialization
Citations

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

Fields of papers citing papers by John Hale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Hale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Hale Line = papers co-authored together John Hale links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001776
2 2017206
3 2006198
4 2008198
5 2003195
6
A Statistical Approach to Anaphora Resolution
1998170
7 2016115
8 201892
9 201190
10 201884
11 201972
12 201069
13 201168
14 202142
15 202039
16 200638
17
Automaton Theories of Human Sentence Comprehension
201437
18 201837
19 200633
20
Grammar, uncertainty and sentence processing
200430

About John Hale

John Hale is a scholar working on Cognitive Neuroscience, Language and Linguistics, Artificial Intelligence, Developmental and Educational Psychology and Computational Theory and Mathematics, having authored 54 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (39 papers), Syntax, Semantics, Linguistic Variation (21 papers), Natural Language Processing Techniques (17 papers), Speech Recognition and Synthesis (4 papers), Reading and Literacy Development (3 papers), Speech and dialogue systems (3 papers), semigroups and automata theory (1 paper) and Language Development and Disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Language and Linguistics (800 citations), Developmental and Educational Psychology (570 citations), Artificial Intelligence (745 citations) and Experimental and Cognitive Psychology (147 citations). John Hale has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Jonathan Brennan, Marisa Ferrara Boston, Reinhold M. Kliegl, Shravan Vasishth, Eugene Charniak D, Niyu Ge, Adhiguna Kuncoro, Chris Dyer, Umesh Patil and Christophe Pallier. Their work appears in journals such as Cognitive Science, Language Cognition and Neuroscience, Brain and Language, Neuropsychologia and Language and Linguistics Compass.

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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