S.R. Gunn

6.1k citations
41 papers · 4.4k · 2 hit papers · h-index 16

Impact in

Papers in

S.R. Gunn

39 papers receiving 4.1k citations

S.R. Gunn's Hit Papers

Feature extraction : foundations and applications 2006 · 1.1k citations
1.1k0+9+18Years since publication50010001.5k2.0k

Peers

S.R. Gunn
Comparison fields: 5 of 192
  • Media Technology 542
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 1.3k
  • Signal Processing 360
  • Analytical Chemistry 313
Replace Robert Jenssen with:
Robert Jenssen Norway
Vladimir Cherkassky United States
E. Osuna United States
Anestis Antoniadis France
Anastasios Doulamis Greece
Harris Drucker United States
Stephan R. Sain United States
Hao Li China
Ting Liu China
Min Han China
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Citations per year

Countries citing papers authored by S.R. Gunn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Support Vector Machines for Classification and Regression
Hit paper breakdown →
19982174
2
Feature extraction : foundations and applications
Hit paper breakdown →
20061109
3 2006311
4 2000161
5 1997123
6 2002104
7 200263
8 200346
9 200144
10
Subspace, Latent Structure and Feature Selection techniques
200643
11 200940
12 200928
13 200323
14 200320
15 200216
16 200215
17 200114
18 199614
19 199412
20 200311

About S.R. Gunn

S.R. Gunn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Mechanical Engineering and Signal Processing, 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), Blind Source Separation Techniques (4 papers), Fault Detection and Control Systems (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Media Technology (542 citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.3k citations), Signal Processing (360 citations) and Analytical Chemistry (313 citations). S.R. Gunn has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Isabelle Guyon, Masoud Nikravesh, 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 Neurocomputing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning, IEEE Transactions on Circuits & Systems II Express Briefs and Materials Science and Engineering A.

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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