Amber E. Witherby

727 citations
26 papers · 519 · h-index 11

Impact in

Papers in

Amber E. Witherby

22 papers receiving 500 citations

Peers

Amber E. Witherby
Comparison fields: 5 of 62
  • Developmental and Educational Psychology 217
  • Cognitive Neuroscience 270
  • Experimental and Cognitive Psychology 164
  • Neuropsychology and Physiological Psychology 12
  • Education 141
Replace Kathleen M. Arnold with:
Kathleen M. Arnold United States
Dung C. Bui United States
Chunliang Yang China
Dillon H. Murphy United States
Núria Carriedo Spain
Carole L. Yue United States
Ineke Imbo Belgium
Kasey L. Powers United States
Daniel B. Kaye United States
Stephen Wee Hun Lim Singapore
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 201751
3 202151
4 201944
5 202043
6 201639
7 201937
8 201728
9 201916
10 201716
11 202313
12 20169
13 20188
14 20208
15 20236
16 20215
17 20235
18 20235
19 20214
20 20194

About Amber E. Witherby

Amber E. Witherby is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology and Social Psychology, having authored 26 papers that have together received 519 indexed citations. Recurring topics across this work include Memory Processes and Influences (17 papers), Educational Strategies and Epistemologies (10 papers), Psychological and Educational Research Studies (5 papers), Visual and Cognitive Learning Processes (5 papers), Deception detection and forensic psychology (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Evaluation of Teaching Practices (3 papers) and Aging and Gerontology Research (3 papers). The work is most often cited by research in Developmental and Educational Psychology (217 citations), Cognitive Neuroscience (270 citations), Experimental and Cognitive Psychology (164 citations), Neuropsychology and Physiological Psychology (12 citations) and Education (141 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 T. Dunlosky, Jeffrey D. Karpicke, Robert Ariel, Henry L. Roediger, Katherine A. Rawson, Adam L. Putnam, Alan D. Castel and Michelle L. Rivers. Their work appears in journals such as Journal of Applied Research in Memory and Cognition, Memory & Cognition, Psychology and Aging, Journal of Intelligence and Metacognition and Learning.

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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