Cate Cox
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Emotion and Mood Recognition 5
- Multisensory perception and integration 3
- Language, Metaphor, and Cognition 1
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- Color perception and design 3
- Social Robot Interaction and HRI 1
- Co-authors
- Roddy Cowie (7 shared papers)Ellen Douglas‐Cowie (6 shared papers)Martin Wöllmer (1 shared paper)Björn W. Schuller (1 shared paper)S.A. Reiter (1 shared paper)Florian Eyben (1 shared paper)Laurence Devillers (3 shared papers)Jean‐Claude Martin (3 shared papers)
- Journals
- Neural Networks (1 paper)Lecture notes in computer science (1 paper)Cognitive technologies (2 papers)Research Portal (Queen's University Belfast) (1 paper)University of Twente Research Information (1 paper)
- Partner nations
- United KingdomGermanyFrance
In The Last Decade
Cate Cox
7 papers receiving 732 citations
Peers
Comparison fields: 5 of 60
- Experimental and Cognitive Psychology 606
- Signal Processing 264
- Social Psychology 227
- Artificial Intelligence 320
- Computer Vision and Pattern Recognition 181
Countries citing papers authored by Cate Cox
This map shows the geographic impact of Cate Cox'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 Cate Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cate Cox more than expected).
Fields of papers citing papers by Cate Cox
This network shows the impact of papers produced by Cate Cox. 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 Cate Cox. The network helps show where Cate Cox may publish in the future.
Co-authors
The 19 scholars most cited alongside Cate Cox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 254 | |
| 2 | 2007 | 251 | |
| 3 | 2005 | 103 | |
| 4 | The Sensitive Artificial Listner: an induction technique for generating emotionally coloured conversation | 2008 | 67 |
| 5 | 2005 | 64 | |
| 6 | 2010 | 29 | |
| 7 | 2010 | 24 |
About Cate Cox
Cate Cox is a scholar working on Experimental and Cognitive Psychology, Social Psychology, Cognitive Neuroscience, Signal Processing and Artificial Intelligence, having authored 7 papers that have together received 792 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), Color perception and design (3 papers), Multisensory perception and integration (3 papers), Music and Audio Processing (2 papers), Social Robot Interaction and HRI (1 paper), Face Recognition and Perception (1 paper), Language, Metaphor, and Cognition (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (606 citations), Signal Processing (264 citations), Social Psychology (227 citations), Artificial Intelligence (320 citations) and Computer Vision and Pattern Recognition (181 citations). Cate Cox has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Roddy Cowie, Ellen Douglas‐Cowie, Martin Wöllmer, Björn W. Schuller, S.A. Reiter, Florian Eyben, Laurence Devillers, Jean‐Claude Martin, Sarkis Abrilian and Anton Batliner. Their work appears in journals such as Neural Networks, Lecture notes in computer science, Cognitive technologies, Research Portal (Queen's University Belfast) and University of Twente Research Information.
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.