Nancy C. Waugh

1.9k citations
33 papers · 1.4k · 1 hit paper · h-index 15

Impact in

Papers in

Nancy C. Waugh

33 papers receiving 1.3k citations

Nancy C. Waugh's Hit Papers

Primary memory. 1965 · 810 citations
8100+20+40Years since publication250500750

Peers

Nancy C. Waugh
Comparison fields: 5 of 107
  • Cognitive Neuroscience 983
  • Experimental and Cognitive Psychology 508
  • Developmental and Educational Psychology 420
  • Artificial Intelligence 341
  • General Psychology 11
Replace W. A. Bousfield with:
W. A. Bousfield United States
Dewey Rundus United States
Lloyd R. Peterson United States
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Nancy C. Waugh relative to W. A. Bousfield United States W. A. Bousfield's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nancy C. Waugh

Since Specialization
Citations

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

Fields of papers citing papers by Nancy C. Waugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy C. Waugh. 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 Nancy C. Waugh. The network helps show where Nancy C. Waugh may publish in the future.

Co-authors

The 9 scholars most cited alongside Nancy C. Waugh, 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 Nancy C. Waugh Line = papers co-authored together Nancy C. Waugh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Primary memory.
Hit paper breakdown →
1965810
2 196793
3 196158
4 196753
5 197752
6 196044
7 197039
8 196337
9 196929
10 196827
11 196223
12 196022
13 196821
14 196917
15 196215
16 196213
17 197012
18 197212
19 196310
20 19708

About Nancy C. Waugh

Nancy C. Waugh is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Neuropsychology and Physiological Psychology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Memory Processes and Influences (8 papers), Machine Learning and Algorithms (3 papers), Visual and Cognitive Learning Processes (3 papers), Child and Animal Learning Development (2 papers), Data-Driven Disease Surveillance (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Reading and Literacy Development (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Cognitive Neuroscience (983 citations), Experimental and Cognitive Psychology (508 citations), Developmental and Educational Psychology (420 citations), Artificial Intelligence (341 citations) and General Psychology (11 citations). Nancy C. Waugh has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Donald A. Norman, James L. Fozard, John Thomas, J. E. Keith Smith, Edwin B. Newman, Ronald L. Nuttall, Robin A. Barr, John Thomas and Donald L. Clark. Their work appears in journals such as Experimental Aging Research, Psychometrika, Acta Psychologica, Psychological Review and British Journal of Psychology.

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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