Natasha Jaques
Impact in
- Applied Psychology top 2%
- Digital Mental Health Interventions
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- Emotion and Mood Recognition
- Mental Health Research Topics
Papers in
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- Reinforcement Learning in Robotics 3
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- Emotion and Mood Recognition 6
- Mental Health Research Topics 5
- Co-authors
- Rosalind W. Picard (19 shared papers)Akane Sano (9 shared papers)Sara Taylor (10 shared papers)Szymon Fedor (4 shared papers)Cristina Conati (2 shared papers)Roger Azevedo (1 shared paper)Jason M. Harley (1 shared paper)Andrew W. McHill (2 shared papers)
- Journals
- IEEE Transactions on Affective Computing (1 paper)SLEEP (1 paper)International Journal of Artificial Intelligence in Education (1 paper)Proceedings of the National Academy of Sciences (1 paper)Frontiers in Behavioral Neuroscience (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Natasha Jaques
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Applied Psychology 192
- Experimental and Cognitive Psychology 496
- Human-Computer Interaction 112
- Cognitive Neuroscience 271
- Computer Science Applications 79
Countries citing papers authored by Natasha Jaques
This map shows the geographic impact of Natasha Jaques'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 Natasha Jaques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha Jaques more than expected).
Fields of papers citing papers by Natasha Jaques
This network shows the impact of papers produced by Natasha Jaques. 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 Natasha Jaques. The network helps show where Natasha Jaques may publish in the future.
Co-authors
The 25 scholars most cited alongside Natasha Jaques, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 204 | |
| 2 | 2017 | 178 | |
| 3 | 2015 | 176 | |
| 4 | 2014 | 117 | |
| 5 | 2015 | 95 | |
| 6 | 2017 | 82 | |
| 7 | 2013 | 57 | |
| 8 | 2015 | 49 | |
| 9 | Predicting Tomorrow’s Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation | 2017 | 41 |
| 10 | 2017 | 41 | |
| 11 | 2015 | 36 | |
| 12 | 2024 | 31 | |
| 13 | 2022 | 31 | |
| 14 | 2015 | 26 | |
| 15 | Tuning Recurrent Neural Networks with Reinforcement Learning | 2016 | 25 |
| 16 | 2016 | 23 | |
| 17 | 2020 | 21 | |
| 18 | 2024 | 14 | |
| 19 | Generating Music by Fine-Tuning Recurrent Neural Networks with Reinforcement Learning | 2016 | 12 |
| 20 | 2022 | 10 |
About Natasha Jaques
Natasha Jaques is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Mental Health Research Topics (5 papers), Music Technology and Sound Studies (4 papers), Music and Audio Processing (4 papers), EEG and Brain-Computer Interfaces (4 papers), Digital Mental Health Interventions (3 papers), Reinforcement Learning in Robotics (3 papers) and Emotions and Moral Behavior (2 papers). The work is most often cited by research in Applied Psychology (192 citations), Experimental and Cognitive Psychology (496 citations), Human-Computer Interaction (112 citations), Cognitive Neuroscience (271 citations) and Computer Science Applications (79 citations). Natasha Jaques has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rosalind W. Picard, Akane Sano, Sara Taylor, Szymon Fedor, Cristina Conati, Roger Azevedo, Jason M. Harley, Andrew W. McHill, Andrew J. K. Phillips and Elizabeth B. Klerman. Their work appears in journals such as IEEE Transactions on Affective Computing, SLEEP, International Journal of Artificial Intelligence in Education, Proceedings of the National Academy of Sciences and Frontiers in Behavioral Neuroscience.
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.