Garrison W. Cottrell

18.9k citations
189 papers · 10.9k indexed · 6 hit papers · h-index 43

Impact in

    • Visual Attention and Saliency Detection
    • Human Pose and Action Recognition
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Face and Expression Recognition
    • Face Recognition and Perception
    • Visual perception and processing mechanisms

Papers in

    • Face Recognition and Perception 51
    • Neural dynamics and brain function 16
    • Visual perception and processing mechanisms 16
    • Visual Attention and Saliency Detection 32
    • Face and Expression Recognition 27
    • Face recognition and analysis 21
    • Image Retrieval and Classification Techniques 9

Garrison W. Cottrell

177 papers receiving 10.4k citations

Hit Papers

NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products 2021 · 264 citations
264200320262010201850010001.5k

Peers

Garrison W. Cottrell
Comparison fields: 5 of 210
  • Computer Vision and Pattern Recognition 5.7k
  • Cognitive Neuroscience 3.1k
  • Human-Computer Interaction 724
  • Sensory Systems 562
  • Experimental and Cognitive Psychology 1.2k
Replace Shimon Ullman with:
Shimon Ullman Israel
Dana H. Ballard United States
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D.H. Ballard United States
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Matthias Bethge Germany
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Garrison W. Cottrell relative to Shimon Ullman Israel Shimon Ullman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Garrison W. Cottrell

Since Specialization
Citations

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

Fields of papers citing papers by Garrison W. Cottrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garrison W. Cottrell. 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 Garrison W. Cottrell. The network helps show where Garrison W. Cottrell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202315
3
Understanding Convolution for Semantic Segmentation
Hit paper breakdown →
20181366
4
A Deep Siamese Neural Network Learns the Human-Perceived Similarity Structure of Facial Expressions Without Explicit Categories.
20167
5
Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields.
20152
6 20121
7
What is the cause of left hemisphere lateralization of English visual word recognition? Pre-existing language lateralization, or task characteristics?
20093
8
A Six-Unit Network is All You Need to Discover Happiness
200014
9
The Early Word Catches the Weights
200027
10
Individual Differences in Exemplar-Based Interference During Instructed Category Learning
20005
11
Task and Spatial Frequency Effects on Face Specialization
19976
12
Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure
19971
13
Fusion via linear combination for the routing problem
19973
14
Discrete Multi-Dimensional Scaling
19963
15
In Search Of Articulated Attractors
19961
16
Representing Face Images for Emotion Classification
1996126
17
Non-Linear Dimensionality Reduction
1992168
18
Behavioral choice—in theory and in practice
19891
19
Re: Inheritance Hierarchies with Exceptions.
19841
20
Viewing parsing as word sense discrimination: a connectionist approach
19843

About Garrison W. Cottrell

Garrison W. Cottrell is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 189 papers that have together received 10.9k indexed citations. Recurring topics across this work include Face Recognition and Perception (51 papers), Visual Attention and Saliency Detection (32 papers), Neural Networks and Applications (29 papers), Face and Expression Recognition (27 papers), Face recognition and analysis (21 papers), Neural dynamics and brain function (16 papers), Visual perception and processing mechanisms (16 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.7k citations), Cognitive Neuroscience (3.1k citations), Human-Computer Interaction (724 citations), Sensory Systems (562 citations) and Experimental and Cognitive Psychology (1.2k citations). Garrison W. Cottrell has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Vincent Rabaud, Piotr Dollár, Serge Belongie, Matthew H. Tong, Lingyun Zhang, Christopher Kanan, Janet H. Hsiao, Panqu Wang, Carrie A. Joyce and Pengfei Chen. Their work appears in journals such as Journal of Vision, Connection Science, Journal of Cognitive Neuroscience, Neurocomputing and Neural Networks.

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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