Carol Ann Moore

3.2k citations
36 papers · 2.3k indexed · 1 hit paper · h-index 14

Carol Ann Moore

34 papers receiving 1.9k citations

Hit Papers

Field-Dependent and Field-Independent Cognitive Styles an...197720261993200919774008001.2k

Peers

Carol Ann Moore
Comparison fields: 5 of 154
  • Developmental and Educational Psychology 1.2k
  • Education 974
  • Experimental and Cognitive Psychology 529
  • Social Psychology 360
  • Cognitive Neuroscience 200
Replace Patricia W. Cox with:
Patricia W. Cox United States
Rita Dunn United States
Shawn M. Glynn United States
J.J. Beishuizen Netherlands
Donald J. Treffinger United States
Shlomo Sharan Israel
Marcel V. J. Veenman Netherlands
Jan J. Elshout Netherlands
Andreas Krapp Germany
Steve Higgins United Kingdom
Carol Ann Moore relative to Patricia W. Cox United States Patricia W. Cox's profile →
Citations per field
00.5×1.5×
Patricia W. Cox · 1×
Citations per year

Countries citing papers authored by Carol Ann Moore

Since Specialization
Citations

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

Fields of papers citing papers by Carol Ann Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Ann Moore. 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 Carol Ann Moore. The network helps show where Carol Ann Moore may publish in the future.

Co-authorship network of co-authors of Carol Ann Moore

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2
First-Generation, Low-Income Students: Strategies for Success at Lyndon State College.
2
3
Collaborative Learning Communities: Building Leadership in a High School English Department.
4
4 3
5 3
6 4
7 22
8 0
9 25
10
Portrayals of the Disabled in Books and Basals.
5
11 5
12 5
13 107
14 10
15 3
16 180
17 1
18 2
19 2
20 20

About Carol Ann Moore

Carol Ann Moore is a scholar working on Developmental and Educational Psychology, Applied Psychology and Social Psychology, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include Learning Styles and Cognitive Differences (7 papers), Emotional Intelligence and Performance (5 papers) and Educator Training and Historical Pedagogy (3 papers). The work is most often cited by research in Developmental and Educational Psychology (1.2k citations), Experimental and Cognitive Psychology (529 citations) and Education (974 citations). Carol Ann Moore has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Herman A. Witkin, Patricia W. Cox, Donald R. Goodenough, John Barrow, Philip K. Oltman, Florence Friedman, David R. Owen, Stuart R. Gelder, A.F. Eble and Cathleen Stasz. Their work appears in journals such as Journal of Educational Psychology, Review of Educational Research and Journal of Vocational Behavior.

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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