Ingo Steinwart
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Artificial Intelligence top 1%
- Machine Learning and Algorithms
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
-
- Machine Learning and Algorithms 8
- Bayesian Methods and Mixture Models 7
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- Statistical Methods and Inference 18
- Advanced Statistical Methods and Models 8
- Co-authors
- Clint Scovel (14 shared papers)Andreas Christmann (12 shared papers)Don Hush (9 shared papers)D. Hush (2 shared papers)Johannes Kästner (2 shared papers)Viktor Zaverkin (2 shared papers)Patrick J. Kelly (1 shared paper)Arnout Van Messem (1 shared paper)
- Journals
- The Annals of Statistics (5 papers)Journal of Machine Learning Research (5 papers)Journal of Complexity (4 papers)Machine Learning (3 papers)Constructive Approximation (3 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Ingo Steinwart
62 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 124
- Statistics and Probability 609
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 588
- Computational Mechanics 519
- Mathematical Physics 183
Countries citing papers authored by Ingo Steinwart
This map shows the geographic impact of Ingo Steinwart'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 Ingo Steinwart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Steinwart more than expected).
Fields of papers citing papers by Ingo Steinwart
This network shows the impact of papers produced by Ingo Steinwart. 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 Ingo Steinwart. The network helps show where Ingo Steinwart may publish in the future.
Co-authors
The 22 scholars most cited alongside Ingo Steinwart, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Classification Framework for Anomaly Detection | 2005 | 171 |
| 2 | 2007 | 163 | |
| 3 | 2006 | 147 | |
| 4 | Sparseness of support vector machines | 2003 | 142 |
| 5 | 2011 | 138 | |
| 6 | 2005 | 132 | |
| 7 | Optimal Rates for Regularized Least Squares Regression. | 2009 | 106 |
| 8 | 2002 | 105 | |
| 9 | 2012 | 85 | |
| 10 | 2007 | 77 | |
| 11 | 2008 | 74 | |
| 12 | 2003 | 69 | |
| 13 | 2007 | 59 | |
| 14 | How SVMs can estimate quantiles and the median | 2007 | 48 |
| 15 | QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines | 2006 | 44 |
| 16 | Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds | 2003 | 43 |
| 17 | Fast Learning from Non-i.i.d. Observations | 2009 | 37 |
| 18 | Training SVMs without offset | 2009 | 35 |
| 19 | 2003 | 35 | |
| 20 | 2013 | 33 |
About Ingo Steinwart
Ingo Steinwart is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (18 papers), Face and Expression Recognition (14 papers), Sparse and Compressive Sensing Techniques (14 papers), Control Systems and Identification (11 papers), Advanced Statistical Methods and Models (8 papers), Machine Learning and Algorithms (8 papers), Fault Detection and Control Systems (7 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Statistics and Probability (609 citations), Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (588 citations), Computational Mechanics (519 citations) and Mathematical Physics (183 citations). Ingo Steinwart has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Clint Scovel, Andreas Christmann, Don Hush, D. Hush, Johannes Kästner, Viktor Zaverkin, Patrick J. Kelly, Arnout Van Messem, Muhammad Shoaib Farooq and Chloé Pasin. Their work appears in journals such as The Annals of Statistics, Journal of Machine Learning Research, Journal of Complexity, Machine Learning and Constructive Approximation.
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.