Kit W. Cho

737 citations
39 papers · 417 · h-index 12

Impact in

Papers in

Kit W. Cho

37 papers receiving 377 citations

Peers

Kit W. Cho
Comparison fields: 5 of 65
  • Experimental and Cognitive Psychology 156
  • Cognitive Neuroscience 199
  • Developmental and Educational Psychology 125
  • Social Psychology 81
  • Artificial Intelligence 111
Replace Kathleen M. Arnold with:
Kathleen M. Arnold United States
Amber E. Witherby United States
Sara D. Davis United States
Daniel R. Kimball United States
April Fugett United States
Núria Carriedo Spain
Michael J. Stroud United States
Suzanne Mannes United States
Lorie‐Marlène Brault Foisy Canada
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Citations per field
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Kathleen M. Arnold · 1×
Citations per year

Countries citing papers authored by Kit W. Cho

Since Specialization
Citations

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

Fields of papers citing papers by Kit W. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kit W. Cho. 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 Kit W. Cho. The network helps show where Kit W. Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202357
2 201556
3 201649
4
Robust Extraction of Metaphor from Novel Data
201330
5 201425
6 201513
7 202013
8 201413
9 201312
10 201912
11 201611
12 201211
13 201911
14 201210
15 20189
16
Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings
20147
17 20147
18 20167
19 20247
20 20196

About Kit W. Cho

Kit W. Cho is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Social Psychology, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 39 papers that have together received 417 indexed citations. Recurring topics across this work include Memory Processes and Influences (9 papers), Natural Language Processing Techniques (6 papers), Language, Metaphor, and Cognition (6 papers), Education, Achievement, and Giftedness (6 papers), Deception detection and forensic psychology (5 papers), Topic Modeling (5 papers), Grit, Self-Efficacy, and Motivation (4 papers) and Neurobiology of Language and Bilingualism (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (156 citations), Cognitive Neuroscience (199 citations), Developmental and Educational Psychology (125 citations), Social Psychology (81 citations) and Artificial Intelligence (111 citations). Kit W. Cho has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include James H. Neely, Laurie Beth Feldman, Fermı́n Moscoso del Prado Martı́n, Petar Milin, Patrick A. O’Connor, Michelle A. Clementi, Candice A. Alfano, Joanne L. Bower, Cara A. Palmer and Benjamin Oosterhoff. Their work appears in journals such as Language Resources and Evaluation, Quarterly Journal of Experimental Psychology, Memory, Educational Psychology and Teaching in Higher Education.

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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