S.W. Beet

619 citations
29 papers · 490 · h-index 9

Impact in

Papers in

S.W. Beet

25 papers receiving 450 citations

Peers

S.W. Beet
Comparison fields: 5 of 55
  • Signal Processing 380
  • Computer Vision and Pattern Recognition 247
  • Pharmacy 20
  • Artificial Intelligence 118
  • Experimental and Cognitive Psychology 41
Replace Xu Shao with:
Xu Shao United Kingdom
Barry-John Theobald United Kingdom
David Gerhard Canada
Mohamed Faouzi BenZeghiba France
Heinrich Dinkel China
Tony Ezzat United States
Nicolas Eveno France
T. Ehrette France
Ryoichi Takashima Japan
Etienne Marcheret United States
S.W. Beet relative to Xu Shao United Kingdom Xu Shao's profile →
Citations per field
00.5×1.5×
Xu Shao · 1×
Citations per year

Countries citing papers authored by S.W. Beet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with S.W. Beet Line = papers co-authored together S.W. Beet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199685
2 199676
3
Visual representations of speech signals
199372
4 199672
5 199656
6 201235
7 199626
8 199611
9 19969
10 19967
11 19907
12 20026
13 20126
14 20025
15 19963
16 20122
17 20022
18 20122
19 19942
20 19831

About S.W. Beet

S.W. Beet is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Experimental and Cognitive Psychology, having authored 29 papers that have together received 490 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (9 papers), Face recognition and analysis (8 papers), Phonetics and Phonology Research (5 papers), Indoor and Outdoor Localization Technologies (5 papers), Music and Audio Processing (4 papers), Voice and Speech Disorders (3 papers) and Infant Health and Development (3 papers). The work is most often cited by research in Signal Processing (380 citations), Computer Vision and Pattern Recognition (247 citations), Pharmacy (20 citations), Artificial Intelligence (118 citations) and Experimental and Cognitive Psychology (41 citations). S.W. Beet has collaborated with scholars based in United Kingdom, Switzerland and Australia. Frequent co-authors include Juergen Luettin, N. A. Thacker, Neil A. Thacker, Martin Cooke, Sandra P. Whiteside, C.C. Goodyear, H.E.G. Powrie, M. O. Tokhi, Roger K. Moore and M. Tomlinson. 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 NATO ASI series. Series F : Computer and system sciences.

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.

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