S.P. Luttrell
Impact in
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- Image and Signal Denoising Methods
- Face and Expression Recognition
- Advanced Data Compression Techniques
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Advanced Clustering Algorithms Research
Papers in
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- Neural Networks and Applications 18
- Bayesian Methods and Mixture Models 7
- Target Tracking and Data Fusion in Sensor Networks 6
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- Image and Signal Denoising Methods 16
- Advanced Data Compression Techniques 6
- Co-authors
- C.J. Oliver (3 shared papers)B.R. Webber (1 shared paper)Sumio Wada (1 shared paper)L. M. Delves (2 shared papers)Russell Beale (1 shared paper)
- Journals
- Inverse Problems (6 papers)Network Computation in Neural Systems (2 papers)Neural Computation (1 paper)International Journal of Remote Sensing (1 paper)Journal of Physics D Applied Physics (1 paper)
- Partner nations
- United KingdomIndia
In The Last Decade
S.P. Luttrell
43 papers receiving 480 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 296
- Artificial Intelligence 424
- Signal Processing 88
- Media Technology 43
- Cognitive Neuroscience 59
Countries citing papers authored by S.P. Luttrell
This map shows the geographic impact of S.P. Luttrell'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.P. Luttrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.P. Luttrell more than expected).
Fields of papers citing papers by S.P. Luttrell
This network shows the impact of papers produced by S.P. Luttrell. 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.P. Luttrell. The network helps show where S.P. Luttrell may publish in the future.
Co-authors
The 5 scholars most cited alongside S.P. Luttrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 102 | |
| 2 | 1990 | 86 | |
| 3 | 1989 | 55 | |
| 4 | 1991 | 49 | |
| 5 | 1985 | 40 | |
| 6 | 1989 | 39 | |
| 7 | 1989 | 35 | |
| 8 | 1981 | 33 | |
| 9 | 1986 | 18 | |
| 10 | 1985 | 17 | |
| 11 | 1989 | 15 | |
| 12 | Hierarchical self-organising networks | 1989 | 14 |
| 13 | 1994 | 14 | |
| 14 | 1988 | 13 | |
| 15 | 1990 | 13 | |
| 16 | 1992 | 13 | |
| 17 | 1985 | 11 | |
| 18 | 2005 | 10 | |
| 19 | 1991 | 7 | |
| 20 | Self-supervised training of hierarchical vector quantisers | 1991 | 6 |
About S.P. Luttrell
S.P. Luttrell is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing and Control and Systems Engineering, having authored 52 papers that have together received 656 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Image and Signal Denoising Methods (16 papers), Advanced SAR Imaging Techniques (7 papers), Bayesian Methods and Mixture Models (7 papers), Advanced Data Compression Techniques (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (296 citations), Artificial Intelligence (424 citations), Signal Processing (88 citations), Media Technology (43 citations) and Cognitive Neuroscience (59 citations). S.P. Luttrell has collaborated with scholars based in United Kingdom and India. Frequent co-authors include C.J. Oliver, B.R. Webber, Sumio Wada, L. M. Delves and Russell Beale. Their work appears in journals such as Inverse Problems, Network Computation in Neural Systems, Neural Computation, International Journal of Remote Sensing and Journal of Physics D Applied Physics.
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.