Jon A. Willits

751 citations
22 papers · 466 · h-index 11

Impact in

Papers in

Jon A. Willits

19 papers receiving 434 citations

Peers

Jon A. Willits
Comparison fields: 5 of 53
  • Developmental and Educational Psychology 172
  • Cognitive Neuroscience 163
  • Experimental and Cognitive Psychology 107
  • Cultural Studies 60
  • Artificial Intelligence 169
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Countries citing papers authored by Jon A. Willits

Since Specialization
Citations

This map shows the geographic impact of Jon A. 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 A. 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 A. Willits more than expected).

Fields of papers citing papers by Jon A. Willits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jon A. 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 A. Willits Line = papers co-authored together Jon A. Willits 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 2015118
2 201558
3 201355
4 201846
5 201840
6 201734
7 201527
8
Comparing Predictive and Co-occurrence Based Models of Lexical Semantics Trained on Child-directed Speech.
201625
9 201414
10 202111
11
Distributional Statistics and Thematic Role Relationships
200711
12
Organizing the space and behavior of semantic models.
20146
13
Learning that numbers are the same, while learning that they are different.
20165
14
Event knowledge vs. verb knowledge
20085
15
Verbs are lookING good in early language acquisition
20094
16 20232
17 20212
18
The Linguistic Distribution of Relational Categories
20101
19
Learning nonadjacent dependencies in thought, language, and action: Not so hard after all.
20131
20
Order matters: Developmentally plausible acquisition of lexical categories.
20201

About Jon A. Willits

Jon A. Willits is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Cultural Studies, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 22 papers that have together received 466 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers), Language Development and Disorders (6 papers), Reading and Literacy Development (5 papers), Child and Animal Learning Development (4 papers), Language and cultural evolution (4 papers), Speech and dialogue systems (4 papers) and Neurobiology of Language and Bilingualism (3 papers). The work is most often cited by research in Developmental and Educational Psychology (172 citations), Cognitive Neuroscience (163 citations), Experimental and Cognitive Psychology (107 citations), Cultural Studies (60 citations) and Artificial Intelligence (169 citations). Jon A. Willits has collaborated with scholars based in United States. Frequent co-authors include Michael N. Jones, Simon Dennis, Philip A. Huebner, Jenny R. Saffran, Mark S. Seidenberg, Kyle S. Minor, Paul Henry Lysaker, Michael Ramscar, Cyrus Shaoul and R. Harald Baayen. Their work appears in journals such as Cognitive Science, Cognitive Psychology, ˜The œPsychology of learning and motivation, Journal of Memory and Language and Psychological Review.

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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