S.W. Beet
- Signal Processing top 2%
- Speech and Audio Processing 16
- Music and Audio Processing 3
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- Face recognition and analysis 7
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis 7
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- Infant Health and Development 2
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- Phonetics and Phonology Research 4
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- Indoor and Outdoor Localization Technologies 4
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- Advanced Adaptive Filtering Techniques 3
- Co-authors
- Juergen LuettinN. A. ThackerMartin CookeNeil A. ThackerSandra P. WhitesideC.C. GoodyearM. TomlinsonRoger K. Moore
- Journals
- Computer Speech & Language (1 paper)IEEE Transactions on Speech and Audio Processing (1 paper)Electronics Letters (1 paper)
- Partner nations
- United KingdomSwitzerlandAustralia
In The Last Decade
S.W. Beet
20 papers receiving 338 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 284
- Computer Vision and Pattern Recognition 176
- Artificial Intelligence 97
- Pharmacy 15
- Experimental and Cognitive Psychology 32
Countries citing papers authored by S.W. Beet
This map shows the geographic impact of S.W. Beet'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 S.W. Beet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.W. Beet more than expected).
Fields of papers citing papers by S.W. Beet
This network shows the impact of papers produced by S.W. Beet. 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 S.W. Beet. The network helps show where S.W. Beet may publish in the future.
Co-authorship network
The 10 scholars most cited alongside S.W. Beet, 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 | 2012 | 29 | |
| 2 | 2003 | 0 | |
| 3 | 2002 | 2 | |
| 4 | 2002 | 4 | |
| 5 | 2002 | 6 | |
| 6 | 1998 | 1 | |
| 7 | 1997 | 1 | |
| 8 | 1996 | 12 | |
| 9 | 1996 | 5 | |
| 10 | 1996 | 75 | |
| 11 | 1996 | 8 | |
| 12 | 1996 | 47 | |
| 13 | 1996 | 3 | |
| 14 | Modelling the Flow Inherent in Speech Representations | 1994 | 0 |
| 15 | 1994 | 1 | |
| 16 | 1994 | 1 | |
| 17 | Visual representations of speech signals | 1993 | 55 |
| 18 | Time and frequency resolution in the reduced auditory representation | 1993 | 0 |
| 19 | 1993 | 1 | |
| 20 | 1990 | 7 |
About S.W. Beet
S.W. Beet is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Pharmacy, having authored 25 papers that have together received 362 indexed citations. Recurring topics across this work include Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (7 papers), Face recognition and analysis (7 papers), Indoor and Outdoor Localization Technologies (4 papers), Phonetics and Phonology Research (4 papers), Music and Audio Processing (3 papers), Advanced Adaptive Filtering Techniques (3 papers) and Infant Health and Development (2 papers). The work is most often cited by research in Signal Processing (284 citations), Computer Vision and Pattern Recognition (176 citations) and Artificial Intelligence (97 citations). S.W. Beet has collaborated with scholars based in United Kingdom, Switzerland and Australia. Frequent co-authors include Juergen Luettin, N. A. Thacker, Martin Cooke, Neil A. Thacker, Sandra P. Whiteside, C.C. Goodyear, M. Tomlinson, Roger K. Moore, H.E.G. Powrie and M. O. Tokhi. Their work appears in journals such as Computer Speech & Language, IEEE Transactions on Speech and Audio Processing, Electronics Letters, White Rose Research Online (University of Leeds, The University of Sheffield, University of York) and Zenodo (CERN European Organization for Nuclear Research).
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.