Emily Mower
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Emotion and Mood Recognition 15
- Multisensory perception and integration 4
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- Color perception and design 7
- Co-authors
- Shrikanth Narayanan (16 shared papers)Sungbok Lee (7 shared papers)Chi-Chun Lee (6 shared papers)Carlos Busso (4 shared papers)Abe Kazemzadeh (2 shared papers)Samuel Kim (1 shared paper)Murtaza Bulut (1 shared paper)Maja J. Matarić (10 shared papers)
- Journals
- Speech Communication (2 papers)IEEE Transactions on Audio Speech and Language Processing (1 paper)AI Magazine (1 paper)Manufacturing & Service Operations Management (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Emily Mower
23 papers receiving 3.2k citations
Emily Mower's Hit Papers
Peers
Comparison fields: 5 of 92
- Experimental and Cognitive Psychology 2.4k
- Signal Processing 1.5k
- Artificial Intelligence 1.8k
- Pharmacy 142
- Computer Vision and Pattern Recognition 588
Countries citing papers authored by Emily Mower
This map shows the geographic impact of Emily Mower'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 Emily Mower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Mower more than expected).
Fields of papers citing papers by Emily Mower
This network shows the impact of papers produced by Emily Mower. 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 Emily Mower. The network helps show where Emily Mower may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily Mower, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IEMOCAP: interactive emotional dyadic motion capture database Hit paper breakdown → | 2008 | 2325 |
| 2 | 2011 | 245 | |
| 3 | 2007 | 220 | |
| 4 | 2010 | 157 | |
| 5 | 2009 | 92 | |
| 6 | 2011 | 49 | |
| 7 | 2009 | 48 | |
| 8 | 2009 | 48 | |
| 9 | 2010 | 38 | |
| 10 | 2007 | 32 | |
| 11 | 2011 | 23 | |
| 12 | 2011 | 11 | |
| 13 | 2008 | 10 | |
| 14 | Development of Socially Assistive Robots For Children With Autism Spectrum Disorders | 2009 | 10 |
| 15 | 2022 | 7 | |
| 16 | 2010 | 7 | |
| 17 | 2009 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 2010 | 3 | |
| 20 | Recognition of Physiological Data for a Motivational Agent | 2011 | 1 |
About Emily Mower
Emily Mower is a scholar working on Experimental and Cognitive Psychology, Social Psychology, Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 3.3k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (15 papers), Color perception and design (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Multisensory perception and integration (4 papers), Autism Spectrum Disorder Research (3 papers), Music and Audio Processing (3 papers), Face and Expression Recognition (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (2.4k citations), Signal Processing (1.5k citations), Artificial Intelligence (1.8k citations), Pharmacy (142 citations) and Computer Vision and Pattern Recognition (588 citations). Emily Mower has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Shrikanth Narayanan, Sungbok Lee, Chi-Chun Lee, Carlos Busso, Abe Kazemzadeh, Samuel Kim, Murtaza Bulut, Maja J. Matarić, Kristian Kroschel and Michael Grimm. Their work appears in journals such as Speech Communication, IEEE Transactions on Audio Speech and Language Processing, AI Magazine, Manufacturing & Service Operations Management and IEEE Transactions on Multimedia.
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.