Emily Mower Provost

2.9k total citations
73 papers, 1.8k citations indexed

About

Emily Mower Provost is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Emily Mower Provost has authored 73 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 34 papers in Experimental and Cognitive Psychology and 32 papers in Signal Processing. Recurrent topics in Emily Mower Provost's work include Emotion and Mood Recognition (28 papers), Speech and Audio Processing (25 papers) and Music and Audio Processing (20 papers). Emily Mower Provost is often cited by papers focused on Emotion and Mood Recognition (28 papers), Speech and Audio Processing (25 papers) and Music and Audio Processing (20 papers). Emily Mower Provost collaborates with scholars based in United States, Netherlands and Taiwan. Emily Mower Provost's co-authors include Yelin Kim, Duc Le, Honglak Lee, Melvin G. McInnis, Carlos Busso, Georg Essl, Mohammed Abdelwahab, Najmeh Sadoughi, Srinivas Parthasarathy and Carol Persad and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Emily Mower Provost

69 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily Mower Provost United States 22 1.1k 775 722 326 250 73 1.8k
Khiet P. Truong Netherlands 20 1.3k 1.2× 1.1k 1.4× 752 1.0× 213 0.7× 298 1.2× 91 2.3k
Alice Baird Germany 22 624 0.6× 716 0.9× 641 0.9× 230 0.7× 214 0.9× 72 1.7k
Nicholas Cummins Germany 31 1.7k 1.6× 1.1k 1.4× 917 1.3× 326 1.0× 527 2.1× 119 3.3k
Laurence Devillers France 22 2.2k 2.0× 1.9k 2.4× 1.5k 2.0× 510 1.6× 367 1.5× 99 3.6k
Steven R. Livingstone Canada 19 1.0k 0.9× 342 0.4× 760 1.1× 435 1.3× 684 2.7× 32 1.9k
Sebastian Schnieder Germany 9 851 0.8× 332 0.4× 189 0.3× 133 0.4× 242 1.0× 16 1.3k
Fabien Ringeval United Kingdom 22 1.8k 1.7× 1.2k 1.5× 1.3k 1.8× 570 1.7× 439 1.8× 47 2.8k
Heidi Christensen United Kingdom 24 316 0.3× 1.1k 1.5× 690 1.0× 98 0.3× 261 1.0× 122 1.9k
Samuel Kim United States 10 2.0k 1.8× 1.6k 2.1× 1.3k 1.8× 449 1.4× 196 0.8× 22 2.9k
Athanasios Katsamanis Greece 20 653 0.6× 661 0.9× 667 0.9× 357 1.1× 153 0.6× 68 1.5k

Countries citing papers authored by Emily Mower Provost

Since Specialization
Citations

This map shows the geographic impact of Emily Mower Provost'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 Provost 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 Provost more than expected).

Fields of papers citing papers by Emily Mower Provost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily Mower Provost. 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 Provost. The network helps show where Emily Mower Provost may publish in the future.

Co-authorship network of co-authors of Emily Mower Provost

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Mower Provost. A scholar is included among the top collaborators of Emily Mower Provost 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 Provost. Emily Mower Provost 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.
Provost, Emily Mower, et al.. (2025). Rethinking Emotion Annotations in the Era of Large Language Models. IEEE Transactions on Affective Computing. 16(4). 2668–2679.
2.
Provost, Emily Mower, et al.. (2025). The persuasive role of generic-you in online interactions. Scientific Reports. 15(1). 1347–1347. 1 indexed citations
3.
Perez, Matthew, et al.. (2024). FluencyBank Timestamped: An Updated Data Set for Disfluency Detection and Automatic Intended Speech Recognition. Journal of Speech Language and Hearing Research. 67(11). 4203–4215. 3 indexed citations
4.
5.
Perez, Matthew, et al.. (2023). Episodic Memory For Domain-Adaptable, Robust Speech Emotion Recognition. 656–660. 1 indexed citations
6.
Stasak, Brian, Julien Epps, Heather T. Schatten, et al.. (2021). Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt. Speech Communication. 132. 10–20. 13 indexed citations
7.
Burzo, Mihai, et al.. (2020). MuSE: a Multimodal Dataset of Stressed Emotion. Language Resources and Evaluation. 1499–1510. 11 indexed citations
8.
Perez, Matthew, et al.. (2020). Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts. arXiv (Cornell University). 10 indexed citations
9.
Picheny, Michael, et al.. (2019). Identifying Mood Episodes Using Dialogue Features from Clinical Interviews. 1926–1930. 11 indexed citations
10.
11.
Kong, Yuqing, et al.. (2019). f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5725–5732. 9 indexed citations
12.
Perez, Matthew, Wenyu Jin, Duc Le, et al.. (2018). Classification of Huntington Disease Using Acoustic and Lexical Features. PubMed. 2018. 1898–1902. 29 indexed citations
13.
Provost, Emily Mower, et al.. (2018). TD‐P‐014: COGID: A SPEECH RECOGNITION TOOL FOR EARLY DETECTION OF ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 14(7S_Part_3). 2 indexed citations
14.
Ojeda, Lauro, et al.. (2018). Low-back electromyography (EMG) data-driven load classification for dynamic lifting tasks. PLoS ONE. 13(2). e0192938–e0192938. 16 indexed citations
15.
Provost, Emily Mower, et al.. (2017). Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences. IEEE Transactions on Affective Computing. 10(1). 85–99. 53 indexed citations
16.
Le, Duc & Emily Mower Provost. (2016). Improving Automatic Recognition of Aphasic Speech with AphasiaBank. 2681–2685. 34 indexed citations
17.
Bates, Rebecca, Eric Fosler‐Lussier, Florian Metze, et al.. (2016). Experiences with Shared Resources for Research and Education in Speech and Language Processing. Radboud Repository (Radboud University). 1627–1631. 1 indexed citations
18.
Le, Duc, et al.. (2016). Automatic Assessment of Speech Intelligibility for Individuals With Aphasia. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(11). 2187–2199. 45 indexed citations
19.
Kim, Yelin, Honglak Lee, & Emily Mower Provost. (2013). Deep learning for robust feature generation in audiovisual emotion recognition. 3687–3691. 274 indexed citations
20.
Provost, Emily Mower & Shrikanth Narayanan. (2012). Simplifying emotion classification through emotion distillation. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Khiet P. Truong Breakdown of academic impact, for papers by Alice Baird Breakdown of academic impact, for papers by Nicholas Cummins Breakdown of academic impact, for papers by Laurence Devillers Breakdown of academic impact, for papers by Steven R. Livingstone Breakdown of academic impact, for papers by Sebastian Schnieder Breakdown of academic impact, for papers by Fabien Ringeval Breakdown of academic impact, for papers by Heidi Christensen Breakdown of academic impact, for papers by Samuel Kim Breakdown of academic impact, for papers by Athanasios Katsamanis
Rankless by CCL
2026