Ann Pearman

30 papers receiving 1.0k citations

Peers

Ann Pearman
Comparison fields: 5 of 83
  • Neuropsychology and Physiological Psychology 148
  • Psychiatry and Mental health 315
  • Experimental and Cognitive Psychology 255
  • Clinical Psychology 218
  • Health 75
Replace Juan Pedro Serrano with:
Juan Pedro Serrano Spain
Naoko Kishita United Kingdom
Annie Robitaille Canada
Sunil Bhar Australia
Eva Dierckx Belgium
Sylke Andreas Germany
Katherine S. Judge United States
Lauren Fox United States
Linda M. Drew United States
Leslie McDonald-Miszczak Canada
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Citations per field
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Citations per year

Countries citing papers authored by Ann Pearman

Since Specialization
Citations

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

Fields of papers citing papers by Ann Pearman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Pearman. 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 Ann Pearman. The network helps show where Ann Pearman may publish in the future.

Co-authors

The 23 scholars most cited alongside Ann Pearman, 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 Ann Pearman Line = papers co-authored together Ann Pearman 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 2020175
2 2004160
3 202096
4 200575
5 201467
6 201560
7 199955
8 201453
9 200939
10 200935
11 200631
12 201829
13 200927
14 199923
15 202117
16 201014
17 202013
18 201913
19 20219
20 20129

About Ann Pearman

Ann Pearman is a scholar working on Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, Psychiatry and Mental health, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cognitive Functions and Memory (11 papers), Aging and Gerontology Research (11 papers), Dementia and Cognitive Impairment Research (9 papers), Identity, Memory, and Therapy (7 papers), Cognitive Abilities and Testing (4 papers), Neural and Behavioral Psychology Studies (3 papers), COVID-19 and Mental Health (3 papers) and Memory Processes and Influences (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (148 citations), Psychiatry and Mental health (315 citations), Experimental and Cognitive Psychology (255 citations), Clinical Psychology (218 citations) and Health (75 citations). Ann Pearman has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Martha Storandt, MacKenzie Hughes, Shevaun D. Neupert, Emily L. Smith, Christopher Hertzog, Denis Gerstorf, Gizem Hülür, John O. Brooks, Carrie Andreoletti and Leah Friedman. Their work appears in journals such as The Journals of Gerontology Series B, Innovation in Aging, Psychology and Aging, Aging Neuropsychology and Cognition and International Psychogeriatrics.

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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