Nichol Castro

700 citations
34 papers · 377 indexed · h-index 12

Impact in

Papers in

Nichol Castro

31 papers receiving 360 citations

Peers

Nichol Castro
Comparison fields: 5 of 55
  • Cognitive Neuroscience 240
  • Developmental and Educational Psychology 110
  • Experimental and Cognitive Psychology 112
  • Statistical and Nonlinear Physics 53
  • Artificial Intelligence 131
Replace Cyrus Shaoul with:
Cyrus Shaoul Canada
Jon Willits United States
Thomas M. Gruenenfelder United States
Josita Maouene United States
Lisa M. Nimmo Australia
Harlan D. Harris United States
Timothy J. O’Donnell Canada
Peter J. Kwantes Canada
Pamela Case United States
Christine Cuskley United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Nichol Castro

Since Specialization
Citations

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

Fields of papers citing papers by Nichol Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20234
4 20237
5 20234
6 20234
7 20228
8 20226
9 20223
10
Structural Comparisons of Noun and Verb Networks in the Mental Lexicon
20213
11 20216
12 202125
13 202050
14 202015
15
Cognitive Network Science: Quantitatively Investigating the Complexity of Cognition.
20191
16 201812
17 201710
18 20157
19 201419
20 201313

About Nichol Castro

Nichol Castro is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology and Artificial Intelligence, having authored 34 papers that have together received 377 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (16 papers), Reading and Literacy Development (7 papers), Phonetics and Phonology Research (6 papers), Language Development and Disorders (5 papers), Advanced Text Analysis Techniques (4 papers), Topic Modeling (4 papers), Multisensory perception and integration (3 papers) and Hearing Loss and Rehabilitation (3 papers). The work is most often cited by research in Cognitive Neuroscience (240 citations), Developmental and Educational Psychology (110 citations), Experimental and Cognitive Psychology (112 citations), Statistical and Nonlinear Physics (53 citations) and Artificial Intelligence (131 citations). Nichol Castro has collaborated with scholars based in United States, Singapore and Italy. Frequent co-authors include Michael S. Vitevitch, Cynthia S. Q. Siew, Massimo Stella, Lori E. James, Christopher Hertzog, Shlomo Havlin, Yoed N. Kenett, Orr Levy, Simon De Deyne and Teresa Girolamo. Their work appears in journals such as Journal of Speech Language and Hearing Research, International Journal of Speech-Language Pathology, Aphasiology, Cognitive Science and PLoS ONE.

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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