Robert A. Nash

90 papers receiving 2.5k citations

Robert A. Nash's Hit Papers

‘It'd be useful, but I wouldn't use it’: barriers to university students’ feedback seeking and recipience 2016 · 271 citations
2710+3+6Years since publication100200300400500

Peers

Robert A. Nash
Comparison fields: 5 of 168
  • Pharmaceutical Science 224
  • Developmental and Educational Psychology 424
  • Education 956
  • Cognitive Neuroscience 458
  • Computer Science Applications 104
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Countries citing papers authored by Robert A. Nash

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert A. Nash, 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 Robert A. Nash Line = papers co-authored together Robert A. Nash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Supporting Learners' Agentic Engagement With Feedback: A Systematic Review and a Taxonomy of Recipience Processes
Hit paper breakdown →
2016541
2
‘It'd be useful, but I wouldn't use it’: barriers to university students’ feedback seeking and recipience
Hit paper breakdown →
2016271
3 1982203
4 201791
5 196384
6 201972
7 200868
8 201961
9 201255
10 198950
11 201550
12 201149
13 198449
14
The effect of solvents on the ultraviolet absorbance of sunscreens
198748
15 200946
16 201540
17 202139
18 199339
19 202337
20 202037

About Robert A. Nash

Robert A. Nash is a scholar working on Cognitive Neuroscience, Social Psychology, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Education, having authored 96 papers that have together received 2.6k indexed citations. Recurring topics across this work include Memory Processes and Influences (30 papers), Deception detection and forensic psychology (14 papers), Student Assessment and Feedback (12 papers), Identity, Memory, and Therapy (9 papers), Misinformation and Its Impacts (8 papers), Analytical Chemistry and Chromatography (8 papers), Evaluation of Teaching Practices (8 papers) and Cognitive Functions and Memory (6 papers). The work is most often cited by research in Pharmaceutical Science (224 citations), Developmental and Educational Psychology (424 citations), Education (956 citations), Cognitive Neuroscience (458 citations) and Computer Science Applications (104 citations). Robert A. Nash has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Naomi Winstone, Michael Parker, Kimberley A. Wade, Julie Callahan, Terry T. Kensler, Gary W. Cleary, Giuliana Mazzoni, Lewis J. Leeson, Andrew L. Clark and S. F. Sun. Their work appears in journals such as Memory, Applied Cognitive Psychology, Journal of Pharmaceutical Sciences, Pharmaceutical Research and Journal of Applied Research in 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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