DeWayne Moore

4.0k citations
81 papers · 3.1k · h-index 33

Impact in

Papers in

DeWayne Moore

80 papers receiving 2.8k citations

Peers

DeWayne Moore
Comparison fields: 5 of 147
  • Social Psychology 931
  • Developmental and Educational Psychology 464
  • Human-Computer Interaction 187
  • Experimental and Cognitive Psychology 383
  • Marketing 254
Replace David W. McMillan with:
David W. McMillan United States
Amanda Kay Montoya United States
Céline Blanchard Canada
Thom Baguley United Kingdom
William G. Graziano United States
Dean R. Leone United States
Nicola Döring Germany
Loran F. Nordgren United States
Anja S. Göritz Germany
Rainer Greifeneder Switzerland
DeWayne Moore relative to David W. McMillan United States David W. McMillan's profile →
Citations per field
00.5×2.9×
David W. McMillan · 1×
Citations per year

Countries citing papers authored by DeWayne Moore

Since Specialization
Citations

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

Fields of papers citing papers by DeWayne Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012277
2 2007216
3 2011209
4 2008191
5 2018139
6 1987102
7 200783
8 201171
9 200666
10 198465
11 201464
12 201764
13 201158
14 201655
15 198654
16 198853
17 200352
18 201952
19 201449
20 200949

About DeWayne Moore

DeWayne Moore is a scholar working on Sociology and Political Science, Developmental and Educational Psychology, Social Psychology, Clinical Psychology and Education, having authored 81 papers that have together received 3.1k indexed citations. Recurring topics across this work include Reading and Literacy Development (13 papers), Educational Strategies and Epistemologies (11 papers), Recreation, Leisure, Wilderness Management (7 papers), Environmental Education and Sustainability (7 papers), Diverse Aspects of Tourism Research (7 papers), Innovative Teaching and Learning Methods (5 papers), Memory Processes and Influences (5 papers) and Resilience and Mental Health (5 papers). The work is most often cited by research in Social Psychology (931 citations), Developmental and Educational Psychology (464 citations), Human-Computer Interaction (187 citations), Experimental and Cognitive Psychology (383 citations) and Marketing (254 citations). DeWayne Moore has collaborated with scholars based in United States, Taiwan and Singapore. Frequent co-authors include Karen M. Zabrucky, Kenneth F. Backman, Sheila J. Backman, N. R. Schultz, Yu‐Chih Huang, Thomas W. Britt, Francis A. McGuire, Matthew Ohland, Misty L. Loughry and Amy B. Adler. Their work appears in journals such as Reading Psychology, Developmental Psychology, Personality and Social Psychology Bulletin, Leisure Sciences and Experimental Aging Research.

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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