Brenda M. Flude

1.8k citations
24 papers · 1.5k indexed · h-index 17

Brenda M. Flude

24 papers receiving 1.4k citations

Peers

Brenda M. Flude
Comparison fields: 5 of 77
  • Cognitive Neuroscience 1.4k
  • Experimental and Cognitive Psychology 463
  • Developmental and Educational Psychology 273
  • Computer Vision and Pattern Recognition 381
  • Social Psychology 208
Replace Kim M. Curby with:
Kim M. Curby United States
Cindy M. Bukach United States
Dana Kuefner Italy
Carl Gaspar United Kingdom
W. Jay Dowling United States
Jürgen M. Kaufmann Germany
Robert Egly United States
Grit Herzmann United States
Jason Tipples United Kingdom
Lawrence R. Gottlob United States
Brenda M. Flude relative to Kim M. Curby United States Kim M. Curby's profile →
Citations per field
00.5×1.7×
Kim M. Curby · 1×
Citations per year

Countries citing papers authored by Brenda M. Flude

Since Specialization
Citations

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

Fields of papers citing papers by Brenda M. Flude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brenda M. Flude. 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 Brenda M. Flude. The network helps show where Brenda M. Flude may publish in the future.

Co-authorship network

The 19 scholars most cited alongside Brenda M. Flude, 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 Brenda M. Flude Line = papers co-authored together Brenda M. Flude links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20135
2 200458
3 2003100
4 199720
5 199657
6 199650
7 199513
8 199446
9 199322
10 199322
11
A connectionist model of familiar face recognition
19923
12 19918
13 19915
14 1990155
15 198953
16 198854
17 1987145
18 19876
19 198670
20 198616

About Brenda M. Flude

Brenda M. Flude is a scholar working on Cognitive Neuroscience, Anatomy and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Face Recognition and Perception (14 papers), Face recognition and analysis (10 papers), Memory Processes and Influences (4 papers), Neurobiology of Language and Bilingualism (4 papers), Spatial Neglect and Hemispheric Dysfunction (3 papers), Face and Expression Recognition (3 papers), Reading and Literacy Development (3 papers) and Multisensory perception and integration (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Experimental and Cognitive Psychology (463 citations) and Developmental and Educational Psychology (273 citations). Brenda M. Flude has collaborated with scholars based in United Kingdom, Ghana and Italy. Frequent co-authors include Andrew W. Ellis, Andrew W. Young, Dennis C. Hay, Kathryn H. McWeeny, Neil Burgess, Graham J. Hitch, A. Mike Burton, Richard N. Henson, Tom T. Hartley and Maria Chiara Fastame. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Experimental Psychology Human Perception & Performance and Journal of Experimental Psychology Learning 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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