Christopher J. C. Burges
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 0.05%
- Neural Networks and Applications
- Text and Document Classification Technologies
- Topic Modeling
Papers in
-
- Neural Networks and Applications 12
- Topic Modeling 9
- Natural Language Processing Techniques 7
- Machine Learning and Algorithms 7
-
- Face and Expression Recognition 12
- Handwritten Text Recognition Techniques 6
- Co-authors
- Bernhard Schölkopf (4 shared papers)Alexander J. Smola (2 shared papers)Vladimir Vapnik (2 shared papers)Alex Smola (1 shared paper)Linda Kaufman (1 shared paper)Harris Drucker (1 shared paper)Krysta M. Svore (8 shared papers)Dengyong Zhou (2 shared papers)
- Journals
- Neurocomputing (1 paper)Information Retrieval (1 paper)Journal of Machine Learning Research (1 paper)Data Mining and Knowledge Discovery (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Christopher J. C. Burges
53 papers receiving 25.4k citations
Christopher J. C. Burges's Hit Papers
Peers
Comparison fields: 5 of 227
- Computer Vision and Pattern Recognition 8.9k
- Artificial Intelligence 11.5k
- Signal Processing 3.2k
- Media Technology 1.6k
- Analytical Chemistry 1.4k
Countries citing papers authored by Christopher J. C. Burges
This map shows the geographic impact of Christopher J. C. 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 Christopher J. C. Burges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. C. Burges more than expected).
Fields of papers citing papers by Christopher J. C. Burges
This network shows the impact of papers produced by Christopher J. C. 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 Christopher J. C. Burges. The network helps show where Christopher J. C. Burges may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher J. C. 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Tutorial on Support Vector Machines for Pattern Recognition Hit paper breakdown → | 1998 | 13472 |
| 2 | Advances in kernel methods: support vector learning Hit paper breakdown → | 1999 | 5040 |
| 3 | Support Vector Regression Machines Hit paper breakdown → | 1996 | 3338 |
| 4 | Input space versus feature space in kernel-based methods Hit paper breakdown → | 1999 | 944 |
| 5 | From RankNet to LambdaRank to LambdaMART: An Overview Hit paper breakdown → | 2010 | 669 |
| 6 | Adapting boosting for information retrieval measures Hit paper breakdown → | 2009 | 406 |
| 7 | 1996 | 357 | |
| 8 | MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text Hit paper breakdown → | 2013 | 344 |
| 9 | 2007 | 337 | |
| 10 | McRank: Learning to Rank Using Multiple Classification and Gradient Boosting | 2007 | 313 |
| 11 | Improving the Accuracy and Speed of Support Vector Machines | 1996 | 252 |
| 12 | 1998 | 192 | |
| 13 | 2010 | 187 | |
| 14 | Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources | 2007 | 152 |
| 15 | 1996 | 152 | |
| 16 | Multi-Digit Recognition Using a Space Displacement Neural Network | 1991 | 99 |
| 17 | A Geometric Interpretation of v-SVM Classifiers | 1999 | 85 |
| 18 | Uniqueness of the SVM Solution | 1999 | 79 |
| 19 | 2009 | 75 | |
| 20 | Learning a Gaussian Process Prior for Automatically Generating Music Playlists | 2001 | 69 |
About Christopher J. C. Burges
Christopher J. C. Burges is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 54 papers that have together received 27.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Neural Networks and Applications (12 papers), Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers), Music and Audio Processing (7 papers), Machine Learning and Algorithms (7 papers), Handwritten Text Recognition Techniques (6 papers) and Information Retrieval and Search Behavior (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.9k citations), Artificial Intelligence (11.5k citations), Signal Processing (3.2k citations), Media Technology (1.6k citations) and Analytical Chemistry (1.4k citations). Christopher J. C. Burges has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Bernhard Schölkopf, Alexander J. Smola, Vladimir Vapnik, Alex Smola, Linda Kaufman, Harris Drucker, Krysta M. Svore, Dengyong Zhou, Gunnar Rätsch and K. Müller. Their work appears in journals such as Neurocomputing, Information Retrieval, Journal of Machine Learning Research, Data Mining and Knowledge Discovery and Lecture notes in computer science.
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.