Chris Burges
Impact in
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- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 0.5%
- Topic Modeling
- Text and Document Classification Technologies
Papers in
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- Machine Learning and Algorithms 6
- Neural Networks and Applications 5
- Natural Language Processing Techniques 4
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- Handwritten Text Recognition Techniques 5
- Music Technology and Sound Studies 3
- Co-authors
- Bernhard Schölkopf (3 shared papers)Léon Bottou (4 shared papers)Kilian Q. Weinberger (4 shared papers)Vladimir Vapnik (2 shared papers)Erin Renshaw (2 shared papers)Tal Shaked (1 shared paper)Zoubin Ghahramani (3 shared papers)Max Welling (3 shared papers)
- Journals
- Meat Science (1 paper)Computer (1 paper)IEEE Transactions on Signal Processing (1 paper)IEEE Transactions on Speech and Audio Processing (1 paper)Machine Learning (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Chris Burges
33 papers receiving 4.9k citations
Chris Burges's Hit Papers
Peers
Comparison fields: 5 of 189
- Computer Vision and Pattern Recognition 1.7k
- Artificial Intelligence 2.5k
- Signal Processing 627
- Information Systems 1.3k
- Management Science and Operations Research 329
Countries citing papers authored by Chris Burges
This map shows the geographic impact of Chris Burges'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 Chris Burges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Burges more than expected).
Fields of papers citing papers by Chris Burges
This network shows the impact of papers produced by Chris Burges. 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 Chris Burges. The network helps show where Chris Burges may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Burges, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning to rank using gradient descent Hit paper breakdown → | 2005 | 1678 |
| 2 | Proceedings of the 26th International Conference on Neural Information Processing Systems Hit paper breakdown → | 2013 | 1124 |
| 3 | Comparing support vector machines with Gaussian kernels to radial basis function classifiers Hit paper breakdown → | 1997 | 1005 |
| 4 | Extracting support data for a given task | 1995 | 374 |
| 5 | Proceedings of the 25th International Conference on Neural Information Processing Systems | 2012 | 175 |
| 6 | Ranking, Boosting, and Model Adaptation | 2008 | 94 |
| 7 | 2003 | 91 | |
| 8 | 2006 | 79 | |
| 9 | 1995 | 78 | |
| 10 | 2007 | 77 | |
| 11 | 2006 | 68 | |
| 12 | 2005 | 51 | |
| 13 | Learning to Rank Using Classification and Gradient Boosting | 2008 | 34 |
| 14 | 2004 | 33 | |
| 15 | 2007 | 31 | |
| 16 | 1999 | 30 | |
| 17 | 1992 | 30 | |
| 18 | 1993 | 23 | |
| 19 | A Challenge Set for Advancing Language Modeling | 2012 | 19 |
| 20 | 2006 | 14 |
About Chris Burges
Chris Burges is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Media Technology, having authored 33 papers that have together received 5.2k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (6 papers), Music and Audio Processing (6 papers), Handwritten Text Recognition Techniques (5 papers), Neural Networks and Applications (5 papers), Information Retrieval and Search Behavior (4 papers), Natural Language Processing Techniques (4 papers), Speech and Audio Processing (4 papers) and Music Technology and Sound Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Artificial Intelligence (2.5k citations), Signal Processing (627 citations), Information Systems (1.3k citations) and Management Science and Operations Research (329 citations). Chris Burges has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Bernhard Schölkopf, Léon Bottou, Kilian Q. Weinberger, Vladimir Vapnik, Erin Renshaw, Tal Shaked, Zoubin Ghahramani, Max Welling, Federico Girosi and Tomaso Poggio. Their work appears in journals such as Meat Science, Computer, IEEE Transactions on Signal Processing, IEEE Transactions on Speech and Audio Processing and Machine Learning.
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.