Wind Cowles

581 citations
12 papers · 221 · h-index 8

Impact in

Papers in

Wind Cowles

10 papers receiving 210 citations

Peers

Wind Cowles
Comparison fields: 5 of 37
  • Developmental and Educational Psychology 104
  • Experimental and Cognitive Psychology 104
  • Cognitive Neuroscience 124
  • Language and Linguistics 67
  • Developmental Biology 5
Replace Eugene J. Dawydiak with:
Eugene J. Dawydiak United Kingdom
Martha Gibson Germany
Sungryong Koh South Korea
Natalia Slioussar Russia
Jill A. Warker United States
Robin Hörnig Germany
Utako Minai United States
E. Matthew Husband United Kingdom
Kepa Erdocia Spain
John Limber United States
Wind Cowles relative to Eugene J. Dawydiak United Kingdom Eugene J. Dawydiak's profile →
Citations per field
00.5×1.5×1.8×
Eugene J. Dawydiak · 1×
Citations per year

Countries citing papers authored by Wind Cowles

Since Specialization
Citations

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

Fields of papers citing papers by Wind Cowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Wind Cowles, 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 Wind Cowles Line = papers co-authored together Wind Cowles links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200754
2 200751
3 201428
4 201327
5 200516
6 201115
7 200514
8 201212
9 20093
10 20181
11 20240
12 20100

About Wind Cowles

Wind Cowles is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Language and Linguistics and Artificial Intelligence, having authored 12 papers that have together received 221 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (7 papers), Reading and Literacy Development (4 papers), Language, Metaphor, and Cognition (4 papers), Syntax, Semantics, Linguistic Variation (4 papers), Language Development and Disorders (2 papers), Writing and Handwriting Education (1 paper), Language, Discourse, Communication Strategies (1 paper) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Developmental and Educational Psychology (104 citations), Experimental and Cognitive Psychology (104 citations), Cognitive Neuroscience (124 citations), Language and Linguistics (67 citations) and Developmental Biology (5 citations). Wind Cowles has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Robert Kluender, Matthew Walenski, Alan Garnham, Maria Polinsky, M. Kutas, Marion Fossard, Lori J. P. Altmann, Robin Banerjee, Valentina Cartei and Linda J. Lombardino. Their work appears in journals such as Quarterly Journal of Experimental Psychology, Journal of Memory and Language, British Journal of Developmental Psychology, Brain and Language and Topoi.

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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