Steve R. Gunn
- Radiology, Nuclear Medicine and Imaging top 5%
- Media Technology top 2%
- Computer Vision and Pattern Recognition top 5%
- Atmospheric Science top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Roger N. GunnVincent J. CunninghamR.I. DamperJames D. B. NelsonBaofeng GuoJohn A. D. AstonFederico TurkheimerMartin Brown
- Topics
- Remote-Sensing Image Classification (5 papers)Medical Imaging Techniques and Applications (4 papers)Remote Sensing and Land Use (4 papers)
- Cited by
- Media TechnologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Image ProcessingJournal of Cerebral Blood Flow & MetabolismPattern Recognition
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Steve R. Gunn
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 134
- Radiology, Nuclear Medicine and Imaging 467
- Media Technology 245
- Computer Vision and Pattern Recognition 214
- Atmospheric Science 148
- Cellular and Molecular Neuroscience 114
Countries citing papers authored by Steve R. Gunn
This map shows the geographic impact of Steve 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 Steve 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 Steve R. Gunn more than expected).
Fields of papers citing papers by Steve R. Gunn
This network shows the impact of papers produced by Steve 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 Steve R. Gunn. The network helps show where Steve R. Gunn may publish in the future.
Co-authorship network of co-authors of Steve R. Gunn
This figure shows the co-authorship network connecting the top 25 collaborators of Steve R. Gunn. A scholar is included among the top collaborators of Steve R. Gunn 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 Steve R. Gunn. Steve R. Gunn 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 | 4 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | 9 | |
| 7 | Towards pareto descent directions in sampling experts for multiple tasks in an on-line learning paradigm | 1 |
| 8 | Exploration and exploitation with insufficient resources | 2 |
| 9 | Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables | 3 |
| 10 | 1 | |
| 11 | 155 | |
| 12 | 61 | |
| 13 | Cooperative Information Sharing to Improve Distributed Learning | 3 |
| 14 | 33 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 162 | |
| 18 | 366 | |
| 19 | 60 | |
| 20 | 20 |
About Steve R. Gunn
Steve R. Gunn is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (5 papers), Medical Imaging Techniques and Applications (4 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Media Technology (245 citations), Radiology, Nuclear Medicine and Imaging (467 citations) and Computer Vision and Pattern Recognition (214 citations). Steve R. Gunn has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Roger N. Gunn, Vincent J. Cunningham, R.I. Damper, James D. B. Nelson, Baofeng Guo, John A. D. Aston, Federico Turkheimer, Martin Brown, Hugh G. Lewis and Basel Halak. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Cerebral Blood Flow & Metabolism and Pattern Recognition.
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.