M. Beth Casey

41 papers receiving 1.4k citations

Peers

M. Beth Casey
Comparison fields: 5 of 94
  • Automotive Engineering 867
  • Statistics and Probability 454
  • Geography, Planning and Development 265
  • Developmental and Educational Psychology 579
  • Experimental and Cognitive Psychology 495
Replace Elizabeth Pezaris with:
Elizabeth Pezaris United States
Linda P. Acredolo United States
Marina Vasilyeva United States
Mark G. McGee United States
Andrea Frick Switzerland
John Eliot United States
Kathryn Hirsh‐Pasek United States
Edward H. Cornell Canada
Kelly S. Mix United States
Brian N. Verdine United States
M. Beth Casey relative to Elizabeth Pezaris United States Elizabeth Pezaris's profile →
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Citations per year

Countries citing papers authored by M. Beth Casey

Since Specialization
Citations

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

Fields of papers citing papers by M. Beth Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Beth Casey. 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 M. Beth Casey. The network helps show where M. Beth Casey may publish in the future.

Co-authors

The 21 scholars most cited alongside M. Beth Casey, 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 M. Beth Casey Line = papers co-authored together M. Beth Casey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995267
2 1997182
3 1997153
4 2001111
5 199699
6 198992
7 199288
8 199161
9 199060
10 199246
11 199344
12 199934
13 199132
14 199131
15 199929
16 199627
17 199526
18 199025
19 200820
20 199519

About M. Beth Casey

M. Beth Casey is a scholar working on Automotive Engineering, Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Education, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Spatial Cognition and Navigation (23 papers), Hemispheric Asymmetry in Neuroscience (12 papers), Child and Animal Learning Development (9 papers), Geography Education and Pedagogy (8 papers), Categorization, perception, and language (5 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Early Childhood Education and Development (3 papers) and Visual and Cognitive Learning Processes (3 papers). The work is most often cited by research in Automotive Engineering (867 citations), Statistics and Probability (454 citations), Geography, Planning and Development (265 citations), Developmental and Educational Psychology (579 citations) and Experimental and Cognitive Psychology (495 citations). M. Beth Casey has collaborated with scholars based in United States and Norway. Frequent co-authors include Elizabeth Pezaris, Ronald L. Nuttall, Mary Brabeck, Camilla Persson Benbow, Ellen Winner, Martha B. Bronson, Irving Hurwitz, Larry H. Ludlow, Agnès Lacreuse and Terrence Tivnan. Their work appears in journals such as Developmental Psychology, Brain and Cognition, Neuropsychologia, Journal of Applied Developmental Psychology and Developmental 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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