Ethan Wilcox

1.0k citations
22 papers · 224 · h-index 6

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Speech Recognition and Synthesis
    • Neurobiology of Language and Bilingualism

Papers in

    • Topic Modeling 11
    • Natural Language Processing Techniques 11
    • Text Readability and Simplification 4
    • Speech Recognition and Synthesis 3
    • Neurobiology of Language and Bilingualism 10

Ethan Wilcox

19 papers receiving 212 citations

Peers

Ethan Wilcox
Comparison fields: 5 of 24
  • Artificial Intelligence 186
  • Cognitive Neuroscience 63
  • Cultural Studies 22
  • Developmental and Educational Psychology 22
  • Language and Linguistics 17
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Citations per field
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Citations per year

Countries citing papers authored by Ethan Wilcox

Since Specialization
Citations

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

Fields of papers citing papers by Ethan Wilcox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ethan Wilcox, 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 Ethan Wilcox Line = papers co-authored together Ethan Wilcox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201983
2 202031
3 201928
4 202226
5
A Systematic Assessment of Syntactic Generalization in Neural Language Models
202019
6
What Syntactic Structures block Dependencies in RNN Language Models
20195
7
Using the Interpolated Maze Task to Assess Incremental Processing in English Relative Clauses
20214
8 20244
9 20234
10 20234
11 20243
12 20193
13 20232
14 20232
15 20222
16 20241
17
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior.
20201
18 20221
19 20231
20 20250

About Ethan Wilcox

Ethan Wilcox is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology, Signal Processing and Experimental and Cognitive Psychology, having authored 22 papers that have together received 224 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers), Neurobiology of Language and Bilingualism (10 papers), Reading and Literacy Development (4 papers), Text Readability and Simplification (4 papers), Speech Recognition and Synthesis (3 papers), Language, Discourse, Communication Strategies (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Artificial Intelligence (186 citations), Cognitive Neuroscience (63 citations), Cultural Studies (22 citations), Developmental and Educational Psychology (22 citations) and Language and Linguistics (17 citations). Ethan Wilcox has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Roger Lévy, Peng Qian, Richard Futrell, Miguel Ballesteros, Takashi Morita, Jon Gauthier, Jennifer Hu, Ryan Cotterell, Tiago Pimentel and Clara Meister. Their work appears in journals such as Journal of Memory and Language, Cognition, Cognitive Science, Linguistic Inquiry and Repository for Publications and Research Data (ETH Zurich).

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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