Cassandra Brown

12 papers receiving 456 citations

Peers

Cassandra Brown
Comparison fields: 5 of 84
  • Neuropsychology and Physiological Psychology 39
  • Cognitive Neuroscience 139
  • Psychiatry and Mental health 83
  • Health 45
  • Radiology, Nuclear Medicine and Imaging 99
Replace Shufei Yin with:
Shufei Yin China
Junyeon Won United States
Anna MacKay‐Brandt United States
Takayuki Tabira Japan
M. Quintana Spain
Stephan Krohn Germany
Gabriele Cattaneo Spain
J. Kaci Fairchild United States
Delphine Fagot Switzerland
D. M. Freed United States
Cassandra Brown relative to Shufei Yin China Shufei Yin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cassandra Brown

Since Specialization
Citations

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

Fields of papers citing papers by Cassandra Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2017184
2 201265
3 201253
4 201651
5 201250
6 201239
7 20089
8 20255
9 20205
10 20083
11 20222
12 20121

About Cassandra Brown

Cassandra Brown is a scholar working on Health, Neuropsychology and Physiological Psychology, Social Psychology, Clinical Psychology and Cognitive Neuroscience, having authored 12 papers that have together received 467 indexed citations. Recurring topics across this work include Health disparities and outcomes (3 papers), Aging and Gerontology Research (2 papers), Dementia and Cognitive Impairment Research (2 papers), Behavioral Health and Interventions (1 paper), Cognitive Functions and Memory (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper) and Technology Use by Older Adults (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (39 citations), Cognitive Neuroscience (139 citations), Psychiatry and Mental health (83 citations), Health (45 citations) and Radiology, Nuclear Medicine and Imaging (99 citations). Cassandra Brown has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Vanessa Scarapicchia, Chantel D. Mayo, Jodie R. Gawryluk, Elizabeth M. Zelinski, Andrea M. Piccinin, Scott M. Hofer, Annie Robitaille, Roger A. Dixon, Lola L. Cuddy and Ashley D. Vanstone. Their work appears in journals such as Journal of Aging Research, Journal of Pediatric Orthopaedics, Music Perception An Interdisciplinary Journal, Frontiers in Human Neuroscience and Australasian Journal on Ageing.

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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