Kathryn J. Devaney

1.1k citations
21 papers · 806 indexed · h-index 13

Impact in

    • Face Recognition and Perception
    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies

Papers in

Kathryn J. Devaney

21 papers receiving 795 citations

Peers

Kathryn J. Devaney
Comparison fields: 5 of 85
  • Cognitive Neuroscience 608
  • Experimental and Cognitive Psychology 81
  • Computer Vision and Pattern Recognition 110
  • Sensory Systems 17
  • Immunology 50
Replace Christopher C. Hemond with:
Christopher C. Hemond United States
Adam S. Greenberg United States
Grace E. Rice United Kingdom
Susanne B. Kamphausen Germany
Jennifer K. E. Steeves Canada
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Imran Noorani United Kingdom
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Citations per field
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Christopher C. Hemond · 1×
Citations per year

Countries citing papers authored by Kathryn J. Devaney

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn J. Devaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202331
3 202112
4 20201
5 20195
6 20172
7 20172
8 201727
9 201619
10 201566
11 20151
12 201514
13 201313
14 201338
15 2011148
16 2011182
17 201085
18 20102
19 200819
20 1999127

About Kathryn J. Devaney

Kathryn J. Devaney is a scholar working on Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation, Experimental and Cognitive Psychology, Psychiatry and Mental health and Geometry and Topology, having authored 21 papers that have together received 806 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (12 papers), Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (6 papers), Face Recognition and Perception (6 papers), Neural and Behavioral Psychology Studies (5 papers), Memory and Neural Mechanisms (2 papers), Microscopic Colitis (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (608 citations), Experimental and Cognitive Psychology (81 citations), Computer Vision and Pattern Recognition (110 citations), Sensory Systems (17 citations) and Immunology (50 citations). Kathryn J. Devaney has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Roger B. H. Tootell, Reza Rajimehr, Shahin Nasr, Jeremy C. Young, David C. Somers, Natalia Y. Bilenko, Leslie G. Ungerleider, Xiaomin Yue, Ning Liu and Chantal E. Stern. Their work appears in journals such as Journal of Vision, Cerebral Cortex, Journal of Neuroscience, NeuroImage and Mindfulness.

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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