David G. Born

722 citations
21 papers · 572 · h-index 9

Impact in

    • Behavioral and Psychological Studies
    • Child and Animal Learning Development
    • Innovative Teaching and Learning Methods
    • Reading and Literacy Development
    • Memory Processes and Influences
    • Neural and Behavioral Psychology Studies
    • Memory and Neural Mechanisms

Papers in

David G. Born

20 papers receiving 506 citations

Peers

David G. Born
Comparison fields: 5 of 91
  • Developmental and Educational Psychology 200
  • Cognitive Neuroscience 277
  • Experimental and Cognitive Psychology 126
  • General Psychology 6
  • Behavioral Neuroscience 12
Replace Keith N. Clayton with:
Keith N. Clayton United States
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William S. Verplanck United States
Arthur L. Irion United States
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Citations per field
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Citations per year

Countries citing papers authored by David G. Born

Since Specialization
Citations

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

Fields of papers citing papers by David G. Born

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside David G. Born, 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 G. Born Line = papers co-authored together David G. Born links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963332
2 197276
3 197127
4 198521
5 197320
6 197418
7 196916
8 198811
9 19639
10 19698
11 19628
12 19676
13 19995
14 19644
15 20153
16 19962
17 19842
18 19991
19 19771
20 19701

About David G. Born

David G. Born is a scholar working on Developmental and Educational Psychology, Education, Sociology and Political Science, Animal Science and Zoology and Cognitive Neuroscience, having authored 21 papers that have together received 572 indexed citations. Recurring topics across this work include Behavioral and Psychological Studies (9 papers), Online and Blended Learning (3 papers), Animal Nutrition and Physiology (3 papers), Evaluation of Teaching Practices (3 papers), Innovative Teaching and Learning Methods (2 papers), Social Capital and Networks (2 papers), Child and Animal Learning Development (2 papers) and Cognitive and developmental aspects of mathematical skills (1 paper). The work is most often cited by research in Developmental and Educational Psychology (200 citations), Cognitive Neuroscience (277 citations), Experimental and Cognitive Psychology (126 citations), General Psychology (6 citations) and Behavioral Neuroscience (12 citations). David G. Born has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Delos D. Wickens, Charles K. Allen, Michael L. Davis, James L. Peterson, William B. Pavlik, Donald M. Baer, Mark E. Snow, Carol Wickens, Markus Freitag and Tom Thomas. Their work appears in journals such as The Psychological Record, Journal of Applied Behavior Analysis, Behavioral Interventions, Journal of Experimental Child Psychology and The Journal of Experimental 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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