Margaret A. McDevitt

427 citations
26 papers · 278 · h-index 9

Impact in

Papers in

Margaret A. McDevitt

25 papers receiving 264 citations

Peers

Margaret A. McDevitt
Comparison fields: 5 of 46
  • General Decision Sciences 55
  • Developmental and Educational Psychology 185
  • Small Animals 48
  • Animal Science and Zoology 50
  • Cognitive Neuroscience 66
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Citations per year

Countries citing papers authored by Margaret A. McDevitt

Since Specialization
Citations

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

Fields of papers citing papers by Margaret A. McDevitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret A. McDevitt. 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 Margaret A. McDevitt. The network helps show where Margaret A. McDevitt may publish in the future.

Co-authors

The 8 scholars most cited alongside Margaret A. McDevitt, 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 Margaret A. McDevitt Line = papers co-authored together Margaret A. McDevitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 199745
3 199624
4 201524
5 200112
6 200112
7 201811
8 199311
9 200210
10 20238
11 20198
12 20037
13 20225
14
Two-way television: linking preservice teachers to real world schools
19954
15 20104
16 20074
17 20243
18 20193
19
Multiple Teaching Strategies for Use with an Instructional Telecommunications Network.
19872
20 20182

About Margaret A. McDevitt

Margaret A. McDevitt is a scholar working on Developmental and Educational Psychology, Small Animals, Animal Science and Zoology, Cognitive Neuroscience and Statistics and Probability, having authored 26 papers that have together received 278 indexed citations. Recurring topics across this work include Behavioral and Psychological Studies (18 papers), Animal Nutrition and Physiology (8 papers), Animal Behavior and Welfare Studies (8 papers), Autism Spectrum Disorder Research (4 papers), Child and Animal Learning Development (4 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Decision-Making and Behavioral Economics (3 papers) and Education and Technology Integration (2 papers). The work is most often cited by research in General Decision Sciences (55 citations), Developmental and Educational Psychology (185 citations), Small Animals (48 citations), Animal Science and Zoology (50 citations) and Cognitive Neuroscience (66 citations). Margaret A. McDevitt has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Roger Dunn, Marcia L. Spetch, Ben A. Williams, Elliot A. Ludvig, Edmund Fantino, Matthew C. Bell, Brittany Sears and Matthew Goldenberg. Their work appears in journals such as Behavioural Processes, Psychonomic Bulletin & Review, Learning & Behavior, Journal of Teacher Education and Psychological Science.

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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