Darryl Stewart
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Cognitive Neuroscience
- Co-authors
- Ji MingRowan SeymourDes GreerPaul R. HannaJianguo ZhangSaeed V. VaseghiF.J. SmithFraser Smith
- Topics
- Speech and Audio Processing (19 papers)Speech Recognition and Synthesis (11 papers)Music and Audio Processing (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on CyberneticsIEEE Transactions on Speech and Audio Processing
- Partner nations
- United KingdomMalaysiaIreland
In The Last Decade
Darryl Stewart
31 papers receiving 286 citations
Peers
Comparison fields: 5 of 67
- Signal Processing 195
- Artificial Intelligence 117
- Computer Vision and Pattern Recognition 105
- Information Systems 39
- Cognitive Neuroscience 21
Countries citing papers authored by Darryl Stewart
This map shows the geographic impact of Darryl Stewart'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 Darryl Stewart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl Stewart more than expected).
Fields of papers citing papers by Darryl Stewart
This network shows the impact of papers produced by Darryl Stewart. 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 Darryl Stewart. The network helps show where Darryl Stewart may publish in the future.
Co-authorship network of co-authors of Darryl Stewart
This figure shows the co-authorship network connecting the top 25 collaborators of Darryl Stewart. A scholar is included among the top collaborators of Darryl Stewart 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 Darryl Stewart. Darryl Stewart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | Investigation into DCT Feature Selection for Visual Lip-Based Biometric Authentication | 1 |
| 5 | 2 | |
| 6 | 56 | |
| 7 | 3 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 53 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | Zipf and Type-Token rules for the English, Spanish, Irish and Latin languages | 14 |
| 15 | 26 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 4 |
About Darryl Stewart
Darryl Stewart is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 35 papers that have together received 316 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Speech Recognition and Synthesis (11 papers) and Music and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (195 citations), Computer Vision and Pattern Recognition (105 citations) and Software (14 citations). Darryl Stewart has collaborated with scholars based in United Kingdom, Malaysia and Ireland. Frequent co-authors include Ji Ming, Rowan Seymour, Des Greer, Paul R. Hanna, Jianguo Zhang, Saeed V. Vaseghi, F.J. Smith, Fraser Smith, J.D. Booker and Chris McMahon. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Cybernetics and IEEE Transactions on Speech and Audio Processing.
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.