Ian Fasel

42 papers receiving 2.8k citations

Hit Papers

The computer expression recognition toolbox (CERT)20112026201620212011100200300

Peers

Ian Fasel
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 1.9k
  • Experimental and Cognitive Psychology 1.7k
  • Cognitive Neuroscience 505
  • Social Psychology 498
  • Artificial Intelligence 453
Replace Gwen Littlewort with:
Gwen Littlewort United States
Zhihong Zeng China
Abhinav Dhall Australia
Hatice Güneş United Kingdom
Patrick Lucey United States
Roland Goecke Australia
Zara Ambadar United States
Shangfei Wang China
Jason Saragih United States
Michael J. Lyons Japan
Ian Fasel relative to Gwen Littlewort United States Gwen Littlewort's profile →
Citations per field
00.5×1.5×
Gwen Littlewort · 1×
Citations per year

Countries citing papers authored by Ian Fasel

Since Specialization
Citations

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

Fields of papers citing papers by Ian Fasel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Fasel

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Fasel. A scholar is included among the top collaborators of Ian Fasel 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 Ian Fasel. Ian Fasel 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
#WorkIndexed citations
1 12
2
Deep belief nets as function approximators for reinforcement learning
16
3
Infomax control for acoustic exploration of objects by a mobile robot
11
4 12
5 3
6 1
7
Design Principles for Creating Human-Shapable Agents
10
8 230
9 29
10 13
11 18
12 4
13 196
14 1
15 98
16 143
17
Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Facial Expression Classification
3
18
Towards social robots: automatic evaluation of human-robot interaction by face detection and expression classification
38
19 49
20
Automatic analysis of of spontaneous facial behavior: A final project report
13

About Ian Fasel

Ian Fasel is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Signal Processing, having authored 42 papers that have together received 3.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Emotion and Mood Recognition (11 papers) and Face recognition and analysis (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.7k citations), Computer Vision and Pattern Recognition (1.9k citations) and Human-Computer Interaction (325 citations). Ian Fasel has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Javier R. Movellan, Marian Stewart Bartlett, Gwen Littlewort, Mark G. Frank, Claudia Lainscsek, Jacob Whitehill, Joshua M. Susskind, Tingfan Wu, Bret Fortenberry and Jeffrey Berry. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of the Acoustical Society of America and Pattern Recognition Letters.

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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