S.R. Gunn
- Media Technology top 0.5%
-
- Medical Image Segmentation Techniques 6
- Image Retrieval and Classification Techniques 6
- Handwritten Text Recognition Techniques 5
- Image Processing and 3D Reconstruction 5
- Face and Expression Recognition 3
- Artificial Intelligence top 1%
- Neural Networks and Applications 9
- Signal Processing top 2%
- Blind Source Separation Techniques 4
- Analytical Chemistry top 1%
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- Fault Detection and Control Systems 4
- Co-authors
- Masoud NikraveshIsabelle GuyonR.I. DamperMartin BrownJames D. B. NelsonMark NixonBin GuoC.J. Harris
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Neurocomputing (3 papers)Machine Learning (2 papers)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
S.R. Gunn
39 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Media Technology 543
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.3k
- Signal Processing 362
- Analytical Chemistry 317
Countries citing papers authored by S.R. Gunn
This map shows the geographic impact of S.R. Gunn'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.R. Gunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.R. Gunn more than expected).
Fields of papers citing papers by S.R. Gunn
This network shows the impact of papers produced by S.R. Gunn. 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.R. Gunn. The network helps show where S.R. Gunn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S.R. Gunn, 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 | 2009 | 40 | |
| 2 | 2009 | 28 | |
| 3 | Subspace, Latent Structure and Feature Selection techniques | 2006 | 43 |
| 4 | Feature extraction : foundations and applicationsbreakdown → | 2006 | 1105 |
| 5 | 2006 | 309 | |
| 6 | 2005 | 5 | |
| 7 | 2003 | 1 | |
| 8 | 2003 | 20 | |
| 9 | 2003 | 11 | |
| 10 | 2003 | 46 | |
| 11 | 2003 | 23 | |
| 12 | 2002 | 15 | |
| 13 | 2002 | 15 | |
| 14 | 2002 | 102 | |
| 15 | Regression models for classification to enhance interpretability | 2001 | 1 |
| 16 | Regression with Input-dependent Noise: a Relevance Vector Machine Treatment | 2001 | 1 |
| 17 | Approaches to Imbalanced Data for Classification: A Case Study | 2001 | 1 |
| 18 | 2001 | 44 | |
| 19 | A Supervised Method for PET Reference Region Extraction | 2000 | 2 |
| 20 | A Dual Active Contour for Head Boundary Extraction | 1994 | 8 |
About S.R. Gunn
S.R. Gunn is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 41 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (5 papers), Fault Detection and Control Systems (4 papers), Blind Source Separation Techniques (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Media Technology (543 citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.3k citations), Signal Processing (362 citations) and Analytical Chemistry (317 citations). S.R. Gunn has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Masoud Nikravesh, Isabelle Guyon, R.I. Damper, Martin Brown, James D. B. Nelson, Mark Nixon, Bin Guo, C.J. Harris, Hugh G. Lewis and Junbin Gao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing, Machine Learning, IEEE Geoscience and Remote Sensing Letters and IEEE Transactions on Circuits & Systems II Express Briefs.
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.