Molly Lewis

766 total citations
19 papers, 333 citations indexed

About

Molly Lewis is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Cultural Studies. According to data from OpenAlex, Molly Lewis has authored 19 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Developmental and Educational Psychology, 7 papers in Artificial Intelligence and 7 papers in Cultural Studies. Recurrent topics in Molly Lewis's work include Child and Animal Learning Development (12 papers), Language Development and Disorders (8 papers) and Language and cultural evolution (7 papers). Molly Lewis is often cited by papers focused on Child and Animal Learning Development (12 papers), Language Development and Disorders (8 papers) and Language and cultural evolution (7 papers). Molly Lewis collaborates with scholars based in United States, France and Germany. Molly Lewis's co-authors include Michael C. Frank, Alejandrina Cristià, Page Piccinini, Christina Bergmann, Sho Tsuji, Mika Braginsky, Daniel Yurovsky, Alexandra Horowitz, Tammy Kwan and Brenden M. Lake and has published in prestigious journals such as Child Development, Psychological Science and Cognition.

In The Last Decade

Molly Lewis

18 papers receiving 321 citations

Peers

Molly Lewis
Comparison fields: 5 of 54
  • Developmental and Educational Psychology 198
  • Experimental and Cognitive Psychology 82
  • Artificial Intelligence 54
  • Cognitive Neuroscience 53
  • Cultural Studies 45
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Molly Lewis United States
Dina Abdel Salam El‐Dakhs Saudi Arabia
Meredith Larson United States
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Citations per field, relative to Molly Lewis
Molly Lewis · 1×
Citations per year, relative to Molly Lewis
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Countries citing papers authored by Molly Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Molly Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Molly Lewis

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 3
3 6
4 3
5 39
6 104
7 7
8 5
9
MetaLab: A Repository for Meta-Analyses on Language Development, and More.
5
10 2
11
Tutorial: Meta-Analytic Methods for Cognitive Science.
1
12
A performance model for early word learning.
8
13
Linguistic niches emerge from pressures at multiple timescales.
4
14 7
15 66
16 53
17
The structure of the lexicon reflects principles of communication
8
18
Modeling disambiguation in word learning via multiple probabilistic constraints
7
19
An integrated model of concept learning and word-concept mapping
5

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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