Amber E. Witherby

661 citations
22 papers · 440 · h-index 10

Impact in

Papers in

Amber E. Witherby

21 papers receiving 427 citations

Peers

Amber E. Witherby
Comparison fields: 5 of 60
  • Developmental and Educational Psychology 193
  • Cognitive Neuroscience 227
  • Experimental and Cognitive Psychology 149
  • Neuropsychology and Physiological Psychology 10
  • General Decision Sciences 8
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Kathleen M. Arnold United States
Dung C. Bui United States
Chunliang Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Amber E. Witherby

Since Specialization
Citations

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

Fields of papers citing papers by Amber E. Witherby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber E. Witherby. 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 Amber E. Witherby. The network helps show where Amber E. Witherby may publish in the future.

Co-authors

The 14 scholars most cited alongside Amber E. Witherby, 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 Amber E. Witherby Line = papers co-authored together Amber E. Witherby links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020107
2 202147
3 201745
4 201638
5 201937
6 202035
7 201929
8 201725
9 201914
10 201712
11 20168
12 20188
13 20237
14 20206
15 20234
16 20214
17 20194
18 20233
19 20233
20 20223

About Amber E. Witherby

Amber E. Witherby is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Education and Neuropsychology and Physiological Psychology, having authored 22 papers that have together received 440 indexed citations. Recurring topics across this work include Memory Processes and Influences (15 papers), Educational Strategies and Epistemologies (9 papers), Visual and Cognitive Learning Processes (5 papers), Psychological and Educational Research Studies (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Aging and Gerontology Research (3 papers), Evaluation of Teaching Practices (3 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Developmental and Educational Psychology (193 citations), Cognitive Neuroscience (227 citations), Experimental and Cognitive Psychology (149 citations), Neuropsychology and Physiological Psychology (10 citations) and General Decision Sciences (8 citations). Amber E. Witherby has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Sarah K. Tauber, Shana K. Carpenter, John Dunlosky, Robert Ariel, Jeffrey D. Karpicke, Alan D. Castel, Matthew G. Rhodes, Katherine A. Rawson, Adam L. Putnam and Henry L. Roediger. Their work appears in journals such as Journal of Applied Research in Memory and Cognition, Memory & Cognition, Journal of Intelligence, Psychology and Aging and Journal of Experimental Psychology Learning Memory and Cognition.

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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