Simon Günter
Impact in
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- Handwritten Text Recognition Techniques
- Face and Expression Recognition
- Graph Theory and Algorithms
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Stochastic Gradient Optimization Techniques
Papers in
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- Handwritten Text Recognition Techniques 14
- Image Retrieval and Classification Techniques 8
- Face and Expression Recognition 5
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- Text and Document Classification Technologies 6
- Neural Networks and Applications 3
- Algorithms and Data Compression 3
- Co-authors
- Horst Bunke (21 shared papers)Nicol N. Schraudolph (5 shared papers)Jin Yu (1 shared paper)S. V. N. Vishwanathan (4 shared papers)Brian John Parker (1 shared paper)Justin Bedő (1 shared paper)Jin Yu (2 shared papers)Elżbieta Pękalska (1 shared paper)
- Journals
- Pattern Recognition Letters (3 papers)Journal of Machine Learning Research (2 papers)Computing (1 paper)Pattern Recognition (1 paper)Optics and Lasers in Engineering (1 paper)
- Partner nations
- SwitzerlandAustraliaDominican Republic
In The Last Decade
Simon Günter
28 papers receiving 905 citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 475
- Artificial Intelligence 528
- Signal Processing 174
- Numerical Analysis 46
- Media Technology 65
Countries citing papers authored by Simon Günter
This map shows the geographic impact of Simon Günter'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 Simon Günter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Günter more than expected).
Fields of papers citing papers by Simon Günter
This network shows the impact of papers produced by Simon Günter. 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 Simon Günter. The network helps show where Simon Günter may publish in the future.
Co-authors
The 9 scholars most cited alongside Simon Günter, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Stochastic Quasi-Newton Method for Online Convex Optimization | 2007 | 175 |
| 2 | 2003 | 116 | |
| 3 | 2007 | 95 | |
| 4 | 2002 | 86 | |
| 5 | 2007 | 57 | |
| 6 | 2004 | 56 | |
| 7 | 2010 | 53 | |
| 8 | 2004 | 47 | |
| 9 | 2004 | 47 | |
| 10 | 2003 | 38 | |
| 11 | 2001 | 38 | |
| 12 | 2004 | 36 | |
| 13 | 2007 | 18 | |
| 14 | 2008 | 16 | |
| 15 | 2003 | 15 | |
| 16 | 2003 | 14 | |
| 17 | 2004 | 13 | |
| 18 | 2002 | 8 | |
| 19 | 2003 | 7 | |
| 20 | 2004 | 6 |
About Simon Günter
Simon Günter is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mechanics and Numerical Analysis, having authored 28 papers that have together received 972 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (14 papers), Image Retrieval and Classification Techniques (8 papers), Text and Document Classification Technologies (6 papers), Face and Expression Recognition (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Neural Networks and Applications (3 papers), Data Management and Algorithms (3 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (475 citations), Artificial Intelligence (528 citations), Signal Processing (174 citations), Numerical Analysis (46 citations) and Media Technology (65 citations). Simon Günter has collaborated with scholars based in Switzerland, Australia and Dominican Republic. Frequent co-authors include Horst Bunke, Nicol N. Schraudolph, Jin Yu, S. V. N. Vishwanathan, Brian John Parker, Justin Bedő, Jin Yu, Elżbieta Pękalska and Robert P. W. Duin. Their work appears in journals such as Pattern Recognition Letters, Journal of Machine Learning Research, Computing, Pattern Recognition and Optics and Lasers in Engineering.
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.