J. Don Read

4.5k citations
72 papers · 2.8k · h-index 28

Impact in

Papers in

J. Don Read

71 papers receiving 2.6k citations

Peers

J. Don Read
Comparison fields: 5 of 108
  • Cognitive Neuroscience 2.1k
  • Social Psychology 1.2k
  • Developmental and Educational Psychology 536
  • Experimental and Cognitive Psychology 425
  • Clinical Psychology 416
Replace Michael P. Toglia with:
Michael P. Toglia United States
Maria S. Zaragoza United States
R. Edward Geiselman United States
Maryanne Garry New Zealand
R. C. L. Lindsay Canada
A. Daniel Yarmey Canada
Ira E. Hyman United States
Mary Ann Foley United States
Nathan Weber Australia
Brian R. Clifford United Kingdom
J. Don Read relative to Michael P. Toglia United States Michael P. Toglia's profile →
Citations per field
00.5×3.3×
Michael P. Toglia · 1×
Citations per year

Countries citing papers authored by J. Don Read

Since Specialization
Citations

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

Fields of papers citing papers by J. Don Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Don Read. 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 J. Don Read. The network helps show where J. Don Read may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994348
2 2002256
3 1996179
4 1992173
5 2004162
6 1998128
7 1974114
8 198591
9 199585
10 200269
11 201063
12 199252
13 200651
14 200751
15 199050
16 200049
17 199044
18 197942
19 198241
20 199539

About J. Don Read

J. Don Read is a scholar working on Cognitive Neuroscience, Social Psychology, Developmental and Educational Psychology, Clinical Psychology and Radiology, Nuclear Medicine and Imaging, having authored 72 papers that have together received 2.8k indexed citations. Recurring topics across this work include Memory Processes and Influences (41 papers), Deception detection and forensic psychology (19 papers), Face Recognition and Perception (12 papers), Radiology practices and education (11 papers), Child Abuse and Trauma (10 papers), Interpreting and Communication in Healthcare (6 papers), Identity, Memory, and Therapy (5 papers) and Behavioral and Psychological Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Social Psychology (1.2k citations), Developmental and Educational Psychology (536 citations), Experimental and Cognitive Psychology (425 citations) and Clinical Psychology (416 citations). J. Don Read has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include D. Stephen Lindsay, John R. Vokey, Kimberley A. Wade, Maryanne Garry, Richard Hammersley, Sarah L. Desmarais, Deborah A. Connolly, Kusum Sharma, David F. Ross and Darryl Bruce. Their work appears in journals such as Applied Cognitive Psychology, Law and Human Behavior, Psychonomic Bulletin & Review, Memory & Cognition and Legal and Criminological 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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