David Allbritton

1.2k citations
28 papers · 833 indexed · h-index 16

David Allbritton

28 papers receiving 744 citations

Peers

David Allbritton
Comparison fields: 5 of 81
  • Computer Science Applications 139
  • Experimental and Cognitive Psychology 326
  • Developmental and Educational Psychology 292
  • Language and Linguistics 119
  • Cognitive Neuroscience 203
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Citations per year

Countries citing papers authored by David Allbritton

Since Specialization
Citations

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

Fields of papers citing papers by David Allbritton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20174
2 20151
3 20121
4 20087
5 200828
6 200726
7 200699
8
Increasing diversity in the information technology workforce: implications from a study of factors that predict achievement in CS
20041
9 200426
10 20035
11 200333
12 200361
13
A comparative evaluation of socratic versus didactic tutoring
200153
14 19986
15 199718
16 199616
17 199694
18 199586
19 199541
20 199153

About David Allbritton

David Allbritton is a scholar working on Experimental and Cognitive Psychology, Computer Science Applications and Developmental and Educational Psychology, having authored 28 papers that have together received 833 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Visual and Cognitive Learning Processes (5 papers), Reading and Literacy Development (5 papers), Language, Metaphor, and Cognition (5 papers), Innovative Teaching and Learning Methods (5 papers), Teaching and Learning Programming (4 papers), Gender and Technology in Education (4 papers) and Information Systems Education and Curriculum Development (3 papers). The work is most often cited by research in Computer Science Applications (139 citations), Experimental and Cognitive Psychology (326 citations) and Developmental and Educational Psychology (292 citations). David Allbritton has collaborated with scholars based in United States and Canada. Frequent co-authors include Gail McKoon, Roger Ratcliff, Richard J. Gerrig, Sandra Katz, John M. Aronis, Mary Lou Soffa, Christine Brown Wilson, John Connelly, Peter Hastings and Johanna D. Moore. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, International Journal of Artificial Intelligence in Education, Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, Journal of Medical Systems and Behavior Research Methods.

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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