Emily Mower

4.9k total citations · 1 hit paper
21 papers, 3.2k citations indexed

About

Emily Mower is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Emily Mower has authored 21 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Experimental and Cognitive Psychology, 9 papers in Social Psychology and 8 papers in Cognitive Neuroscience. Recurrent topics in Emily Mower's work include Emotion and Mood Recognition (15 papers), Color perception and design (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Emily Mower is often cited by papers focused on Emotion and Mood Recognition (15 papers), Color perception and design (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Emily Mower collaborates with scholars based in United States, Germany and Russia. Emily Mower's 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 and has published in prestigious journals such as IEEE Transactions on Multimedia, IEEE Transactions on Audio Speech and Language Processing and Speech Communication.

In The Last Decade

Emily Mower

21 papers receiving 3.0k citations

Hit Papers

align trajectories

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.

IEMOCAP: interactive emotional dyadic motion capture database

2008 2.2k citations Carlos Busso, Murtaza Bulut et al. Language Resources and Evaluation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily Mower United States	12	2.4k	1.8k	1.5k	577	408	21	3.2k
Laurence Devillers France	22	2.2k 0.9×	1.9k 1.1×	1.5k 1.0×	510 0.9×	630 1.5×	99	3.6k
Abe Kazemzadeh United States	17	2.6k 1.1×	2.2k 1.2×	1.5k 1.0×	653 1.1×	469 1.1×	36	3.9k
Samuel Kim United States	10	2.0k 0.8×	1.6k 0.9×	1.3k 0.9×	449 0.8×	328 0.8×	22	2.9k
Fabien Ringeval United Kingdom	22	1.8k 0.8×	1.2k 0.7×	1.3k 0.9×	570 1.0×	356 0.9×	47	2.8k
Murtaza Bulut United States	13	2.4k 1.0×	1.7k 1.0×	1.5k 1.0×	690 1.2×	466 1.1×	26	3.5k
Chul Min Lee South Korea	15	1.3k 0.6×	747 0.4×	762 0.5×	434 0.8×	324 0.8×	36	2.0k
Winfried A. Fellenz United Kingdom	5	1.3k 0.5×	549 0.3×	604 0.4×	509 0.9×	370 0.9×	15	1.8k
G. Votsis Greece	4	1.2k 0.5×	518 0.3×	580 0.4×	497 0.9×	338 0.8×	5	1.7k
Serdar Yıldırım Türkiye	14	917 0.4×	528 0.3×	573 0.4×	352 0.6×	232 0.6×	37	1.5k
Emily Mower Provost United States	22	1.1k 0.5×	775 0.4×	722 0.5×	326 0.6×	200 0.5×	73	1.8k

Countries citing papers authored by Emily Mower

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Emily Mower

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Mower. A scholar is included among the top collaborators of Emily Mower 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 Emily Mower. Emily Mower is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Atrash, Amin, et al.. (2011). Recognition of Physiological Data for a Motivational Agent. National Conference on Artificial Intelligence. 1 indexed citations

2.

Mower, Emily & Shrikanth Narayanan. (2011). A hierarchical static-dynamic framework for emotion classification. 5. 2372–2375. 23 indexed citations

3.

Lee, Chi-Chun, Emily Mower, Carlos Busso, Sungbok Lee, & Shrikanth Narayanan. (2011). Emotion recognition using a hierarchical binary decision tree approach. Speech Communication. 53(9-10). 1162–1171. 243 indexed citations

4.

Mower, Emily, Chi-Chun Lee, James Gibson, et al.. (2011). Analyzing the nature of ECA interactions in children with autism. 2989–2992. 11 indexed citations

5.

Mower, Emily, et al.. (2011). Rachel: Design of an emotionally targeted interactive agent for children with autism. 1–6. 48 indexed citations

6.

Mower, Emily, Maja J. Matarić, & Shrikanth Narayanan. (2010). A Framework for Automatic Human Emotion Classification Using Emotion Profiles. IEEE Transactions on Audio Speech and Language Processing. 19(5). 1057–1070. 157 indexed citations

7.

Mower, Emily, Maja J. Matarić, & Shrikanth Narayanan. (2010). Robust representations for out-of-domain emotions using Emotion Profiles. 8. 25–30. 3 indexed citations

8.

Barkowsky, Thomas, Sven Bertel, Frank Broz, et al.. (2010). Reports of the AAAI 2010 Spring Symposia. AI Magazine. 31(3). 115–122. 1 indexed citations

9.

Mower, Emily, Kyu J. Han, Sungbok Lee, & Shrikanth Narayanan. (2010). A cluster-profile representation of emotion using agglomerative hierarchical clustering. 797–800. 7 indexed citations

10.

Wu, Dongrui, Thomas D. Parsons, Emily Mower, & Shrikanth Narayanan. (2010). Speech emotion estimation in 3D space. 737–742. 38 indexed citations

11.

Mower, Emily, Angeliki Metallinou, Chi-Chun Lee, et al.. (2009). Interpreting ambiguous emotional expressions. 1–8. 90 indexed citations

12.

Lee, Chi-Chun, Emily Mower, Carlos Busso, Sungbok Lee, & Shrikanth Narayanan. (2009). Emotion recognition using a hierarchical binary decision tree approach. 48 indexed citations

13.

Mower, Emily, Maja J. Matarić, & Shrikanth Narayanan. (2009). Evaluating evaluators: a case study in understanding the benefits and pitfalls of multi-evaluator modeling. 1583–1586. 6 indexed citations

14.

Feil-Seifer, David, Matthew Black, Emily Mower, et al.. (2009). Development of Socially Assistive Robots For Children With Autism Spectrum Disorders. 10 indexed citations

15.

Mower, Emily, Maja J. Matarić, & Shrikanth Narayanan. (2009). Human Perception of Audio-Visual Synthetic Character Emotion Expression in the Presence of Ambiguous and Conflicting Information. IEEE Transactions on Multimedia. 11(5). 843–855. 48 indexed citations

16.

Busso, Carlos, Murtaza Bulut, Chi-Chun Lee, et al.. (2008). IEMOCAP: interactive emotional dyadic motion capture database. Language Resources and Evaluation. 42(4). 335–359. 2204 indexed citations breakdown →

17.

Mower, Emily, Sungbok Lee, Maja J. Matarić, & Shrikanth Narayanan. (2008). Human perception of synthetic character emotions in the presence of conflicting and congruent vocal and facial expressions. 2201–2204. 9 indexed citations

18.

Mower, Emily, Sungbok Lee, Maja J. Matarić, & Shrikanth Narayanan. (2008). Joint-processing of audio-visual signals in human perception of conflicting synthetic character emotions. 14. 961–964. 6 indexed citations

19.

Grimm, Michael, Kristian Kroschel, Emily Mower, & Shrikanth Narayanan. (2007). Primitives-based evaluation and estimation of emotions in speech. Speech Communication. 49(10-11). 787–800. 219 indexed citations

20.

Mower, Emily, David Feil-Seifer, Maja J. Matarić, & Shrikanth Narayanan. (2007). Investigating Implicit Cues for User State Estimation in Human-Robot Interaction Using Physiological Measurements. 1125–1130. 32 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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