Shaun Canavan

2.0k total citations · 1 hit paper
53 papers, 1.3k citations indexed

About

Shaun Canavan is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Shaun Canavan has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 29 papers in Experimental and Cognitive Psychology and 17 papers in Cognitive Neuroscience. Recurrent topics in Shaun Canavan's work include Emotion and Mood Recognition (28 papers), Face recognition and analysis (22 papers) and Face and Expression Recognition (13 papers). Shaun Canavan is often cited by papers focused on Emotion and Mood Recognition (28 papers), Face recognition and analysis (22 papers) and Face and Expression Recognition (13 papers). Shaun Canavan collaborates with scholars based in United States, United Kingdom and Netherlands. Shaun Canavan's co-authors include Lijun Yin, Michael Reale, Jeffrey F. Cohn, Xing Zhang, Jeffrey M. Girard, Peng Liu, Peng Liu, Qiang Ji, Yue Wu and Zheng Zhang and has published in prestigious journals such as IEEE Transactions on Cybernetics, Pattern Recognition Letters and IEEE Transactions on Multimedia.

In The Last Decade

Shaun Canavan

46 papers receiving 1.3k citations

Hit Papers

BP4D-Spontaneous: a high-resolution spontaneous 3D dynami... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database
    2014 461 citations Xing Zhang, Lijun Yin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shaun Canavan United States 13 734 680 346 217 161 53 1.3k
Michael Reale United States 11 993 1.4× 728 1.1× 286 0.8× 222 1.0× 170 1.1× 25 1.5k
Jeroen Lichtenauer Netherlands 8 301 0.4× 820 1.2× 740 2.1× 271 1.2× 143 0.9× 17 1.4k
Vahid Kazemi Sweden 5 1.4k 1.8× 367 0.5× 135 0.4× 219 1.0× 430 2.7× 5 1.8k
Brais Martínez United Kingdom 18 936 1.3× 481 0.7× 151 0.4× 103 0.5× 262 1.6× 37 1.3k
Stamos Katsigiannis United Kingdom 15 197 0.3× 608 0.9× 710 2.1× 148 0.7× 132 0.8× 49 1.3k
Yao Chong Lim United States 3 477 0.6× 461 0.7× 272 0.8× 182 0.8× 132 0.8× 3 1.3k
O.V. Ramana Murthy India 16 499 0.7× 369 0.5× 148 0.4× 54 0.2× 59 0.4× 58 929
Dorota Kamińska Poland 15 349 0.5× 341 0.5× 129 0.4× 337 1.6× 155 1.0× 47 975
Akshay Asthana Australia 13 1.2k 1.6× 345 0.5× 81 0.2× 88 0.4× 341 2.1× 27 1.4k
Lin Shu China 13 127 0.2× 793 1.2× 783 2.3× 183 0.8× 83 0.5× 25 1.3k

Countries citing papers authored by Shaun Canavan

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Canavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Canavan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Canavan. A scholar is included among the top collaborators of Shaun Canavan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaun Canavan. Shaun Canavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cohn, Jeffrey F., et al.. (2024). Time to retire F1-binary score for action unit detection. Pattern Recognition Letters. 182. 111–117.
2.
3.
Canavan, Shaun, et al.. (2024). Multimodal Behavior Analysis and Impact of Culture on Affect. 37–45. 1 indexed citations
4.
5.
Canavan, Shaun, et al.. (2023). Detecting Forged Facial Videos Using Convolutional Neural Networks. 260–264.
6.
Zamzmi, Ghada, et al.. (2023). Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data. IEEE Journal of Biomedical and Health Informatics. 27(11). 5260–5271. 6 indexed citations
7.
Yin, Lijun, et al.. (2023). Spatio-Temporal Graph Analytics on Secondary Affect Data for Improving Trustworthy Emotional AI. IEEE Transactions on Affective Computing. 15(1). 30–49. 4 indexed citations
8.
Goodman, Fallon R., et al.. (2023). Predicting Loneliness from Subject Self-Report. 1–8.
9.
Zamzmi, Ghada, et al.. (2023). Association Between Chronic Back Pain and Protective Behaviors is Subjective and Context Dependent. PubMed. 2023. 1–5. 1 indexed citations
10.
Kaur, Gurmeet, et al.. (2021). Investigation into Recognizing Context Over Time using Physiological Signals. 1–8. 6 indexed citations
11.
Neal, Tempestt, et al.. (2021). Clustering of Physiological Signals by Emotional State, Race, and Sex. 312–316. 4 indexed citations
12.
Canavan, Shaun, et al.. (2020). Gaze-based classification of autism spectrum disorder. Pattern Recognition Letters. 135. 204–212. 13 indexed citations
13.
Canavan, Shaun, et al.. (2020). Sign Language Recognition in Virtual Reality. 4 indexed citations
14.
Neal, Tempestt & Shaun Canavan. (2020). Mood Versus Identity: Studying the Influence of Affective States on Mobile Biometrics. 562–566. 3 indexed citations
15.
Yu, Hui, et al.. (2019). Multi-subspace supervised descent method for robust face alignment. Multimedia Tools and Applications. 78(24). 35455–35469. 6 indexed citations
16.
Canavan, Shaun, et al.. (2018). Ubiquitous Emotion Recognition Using Audio and Video Data. 956–959. 25 indexed citations
17.
18.
Canavan, Shaun, Peng Liu, Xing Zhang, & Lijun Yin. (2015). Landmark localization on 3D/4D range data using a shape index-based statistical shape model with global and local constraints. Computer Vision and Image Understanding. 139. 136–148. 10 indexed citations
19.
Reale, Michael, Peng Liu, Lijun Yin, & Shaun Canavan. (2013). Art Critic: Multisignal Vision and Speech Interaction System in a Gaming Context. IEEE Transactions on Cybernetics. 43(6). 1546–1559. 6 indexed citations
20.
Canavan, Shaun, Yi Sun, Xing Zhang, & Lijun Yin. (2012). A dynamic curvature based approach for facial activity analysis in 3D space. 14–19. 19 indexed citations

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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