Jon Willits

744 citations
20 papers · 426 · h-index 10

Impact in

Papers in

Jon Willits

18 papers receiving 399 citations

Peers

Jon Willits
Comparison fields: 5 of 50
  • Developmental and Educational Psychology 160
  • Cognitive Neuroscience 152
  • Experimental and Cognitive Psychology 96
  • Cultural Studies 55
  • Artificial Intelligence 145
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Countries citing papers authored by Jon Willits

Since Specialization
Citations

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

Fields of papers citing papers by Jon Willits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jon Willits, 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 Jon Willits Line = papers co-authored together Jon Willits links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015107
2 201554
3 201353
4 201846
5 201835
6 201734
7 201526
8
Comparing Predictive and Co-occurrence Based Models of Lexical Semantics Trained on Child-directed Speech.
201624
9
Distributional Statistics and Thematic Role Relationships
200711
10 201411
11
Event knowledge vs. verb knowledge
20086
12
Organizing the space and behavior of semantic models.
20146
13
Learning that numbers are the same, while learning that they are different.
20164
14
Verbs are lookING good in early language acquisition
20094
15 20212
16
The Linguistic Distribution of Relational Categories
20101
17
Order matters: Developmentally plausible acquisition of lexical categories.
20201
18 20231
19 20230
20 20230

About Jon Willits

Jon Willits is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Cultural Studies and Cognitive Neuroscience, having authored 20 papers that have together received 426 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers), Reading and Literacy Development (5 papers), Language Development and Disorders (4 papers), Language and cultural evolution (3 papers), Speech and dialogue systems (3 papers), Child and Animal Learning Development (3 papers) and Schizophrenia research and treatment (2 papers). The work is most often cited by research in Developmental and Educational Psychology (160 citations), Cognitive Neuroscience (152 citations), Experimental and Cognitive Psychology (96 citations), Cultural Studies (55 citations) and Artificial Intelligence (145 citations). Jon Willits has collaborated with scholars based in United States. Frequent co-authors include Michael N. Jones, Simon Dennis, Mark S. Seidenberg, Jenny R. Saffran, Kyle S. Minor, Paul H. Lysaker, Michael Ramscar, R. Harald Baayen, Cyrus Shaoul and Erica H. Wojcik. Their work appears in journals such as Cognitive Science, Journal of Memory and Language, Psychological Medicine, Cognition and Language Cognition and Neuroscience.

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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