Alice Baird
Impact in
- Signal Processing top 1%
- Music and Audio Processing
- Speech and Audio Processing
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- Emotion and Mood Recognition
Papers in
-
- Music and Audio Processing 25
- Speech and Audio Processing 16
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- Emotion and Mood Recognition 25
- Multisensory perception and integration 7
- Co-authors
- Björn W. SchullerNicholas CumminsShahin AmiriparianLukas StappenPanagiotis TzirakisAnton BatlinerErik CambriaZixing Zhang
- Journals
- IEEE Journal of Biomedical and Health Informatics (1 paper)International Journal of Human-Computer Interaction (1 paper)Frontiers in Big Data (1 paper)Trends in Hearing (1 paper)Acta acustica united with Acustica (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Alice Baird
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 125
- Signal Processing 641
- Experimental and Cognitive Psychology 624
- Artificial Intelligence 716
- Developmental Biology 40
- Computer Vision and Pattern Recognition 230
Countries citing papers authored by Alice Baird
This map shows the geographic impact of Alice Baird'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 Alice Baird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alice Baird more than expected).
Fields of papers citing papers by Alice Baird
This network shows the impact of papers produced by Alice Baird. 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 Alice Baird. The network helps show where Alice Baird may publish in the future.
Co-authors
The 25 scholars most cited alongside Alice Baird, 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 | 2024 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 32 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 62 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 26 | |
| 14 | Emotion and themes recognition in music utilising convolutional and recurrent neural networks | 2019 | 4 |
| 15 | 2019 | 1 | |
| 16 | 2018 | 11 | |
| 17 | 2018 | 114 | |
| 18 | 2018 | 62 | |
| 19 | 2018 | 21 | |
| 20 | 2017 | 206 |
About Alice Baird
Alice Baird is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Developmental Biology, Cognitive Neuroscience and Pharmacy, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (25 papers), Music and Audio Processing (25 papers), Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (12 papers), Neuroscience and Music Perception (8 papers), Music Technology and Sound Studies (7 papers), Multisensory perception and integration (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Signal Processing (641 citations), Experimental and Cognitive Psychology (624 citations), Artificial Intelligence (716 citations), Developmental Biology (40 citations) and Computer Vision and Pattern Recognition (230 citations). Alice Baird has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Björn W. Schuller, Nicholas Cummins, Shahin Amiriparian, Lukas Stappen, Panagiotis Tzirakis, Anton Batliner, Erik Cambria, Zixing Zhang, Maurice Gerczuk and Kun Qian. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, International Journal of Human-Computer Interaction, Frontiers in Big Data, Trends in Hearing and Acta acustica united with Acustica.
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.