Nicholas Cummins
Impact in
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- Emotion and Mood Recognition
- Mental Health Research Topics
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Emotion and Mood Recognition 43
-
- Speech and Audio Processing 35
- Music and Audio Processing 32
- Co-authors
- Björn W. SchullerJulien EppsJarek KrajewskiSebastian SchniederThomas F. QuatieriStefan SchererAlice BairdZixing Zhang
- Journals
- IEEE Access (3 papers)Speech Communication (2 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Nicholas Cummins
115 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Experimental and Cognitive Psychology 1.7k
- Signal Processing 917
- Applied Psychology 308
- Social Psychology 712
- Artificial Intelligence 1.1k
Countries citing papers authored by Nicholas Cummins
This map shows the geographic impact of Nicholas Cummins'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 Nicholas Cummins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Cummins more than expected).
Fields of papers citing papers by Nicholas Cummins
This network shows the impact of papers produced by Nicholas Cummins. 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 Nicholas Cummins. The network helps show where Nicholas Cummins may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Cummins, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 31 | |
| 13 | 2021 | 19 | |
| 14 | 2021 | 74 | |
| 15 | 2020 | 36 | |
| 16 | 2019 | 13 | |
| 17 | 2019 | 73 | |
| 18 | 2019 | 43 | |
| 19 | 2017 | 33 | |
| 20 | "Did you laugh enough today?" - Deep Neural Networks for Mobile and Wearable Laughter Trackers. | 2017 | 4 |
About Nicholas Cummins
Nicholas Cummins is a scholar working on Experimental and Cognitive Psychology, Signal Processing, Artificial Intelligence, Applied Psychology and Pharmacy, having authored 119 papers that have together received 3.3k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (43 papers), Speech and Audio Processing (35 papers), Speech Recognition and Synthesis (35 papers), Music and Audio Processing (32 papers), Mental Health via Writing (16 papers), Sentiment Analysis and Opinion Mining (11 papers), Voice and Speech Disorders (8 papers) and Digital Mental Health Interventions (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.7k citations), Signal Processing (917 citations), Applied Psychology (308 citations), Social Psychology (712 citations) and Artificial Intelligence (1.1k citations). Nicholas Cummins has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Björn W. Schuller, Julien Epps, Jarek Krajewski, Sebastian Schnieder, Thomas F. Quatieri, Stefan Scherer, Alice Baird, Zixing Zhang, Shahin Amiriparian and Vidhyasaharan Sethu. Their work appears in journals such as IEEE Access, Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing, PLoS ONE and Scientific Reports.
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.