Chris Burges

7.8k total citations · 3 hit papers
33 papers, 5.1k citations indexed

About

Chris Burges is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Chris Burges has authored 33 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Chris Burges's work include Machine Learning and Algorithms (6 papers), Music and Audio Processing (6 papers) and Handwritten Text Recognition Techniques (5 papers). Chris Burges is often cited by papers focused on Machine Learning and Algorithms (6 papers), Music and Audio Processing (6 papers) and Handwritten Text Recognition Techniques (5 papers). Chris Burges collaborates with scholars based in United States, Germany and United Kingdom. Chris Burges's co-authors include Bernhard Schölkopf, Vladimir Vapnik, Léon Bottou, Kilian Q. Weinberger, Erin Renshaw, Tal Shaked, Zoubin Ghahramani, Max Welling, Federico Girosi and Partha Niyogi and has published in prestigious journals such as IEEE Transactions on Signal Processing, Computer and Meat Science.

In The Last Decade

Chris Burges

33 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning to rank using gradient descent

2005 1.7k citations Chris Burges, Erin Renshaw et al. profile →
Proceedings of the 26th International Conference on Neural Information Processing Systems

2013 1.1k citations Chris Burges, Léon Bottou et al. profile →
Comparing support vector machines with Gaussian kernels to radial basis function classifiers

1997 1.0k citations Bernhard Schölkopf, Chris Burges et al. IEEE Transactions on Signal Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chris Burges United States	19	2.5k	1.7k	1.3k	623	329	33	5.1k
Pabitra Mitra India	35	2.5k 1.0×	1.6k 0.9×	1.0k 0.8×	520 0.8×	224 0.7×	186	5.4k
Marco Gori Italy	31	3.2k 1.2×	1.6k 0.9×	1.2k 0.9×	630 1.0×	182 0.6×	185	5.5k
Alexandru Niculescu-Mizil United States	19	2.8k 1.1×	1.2k 0.7×	614 0.5×	409 0.7×	309 0.9×	29	5.3k
Tapas Kanungo United States	22	2.2k 0.9×	2.3k 1.3×	902 0.7×	727 1.2×	182 0.6×	75	5.9k
Fu-Lai Chung Hong Kong	43	3.6k 1.4×	2.1k 1.2×	588 0.5×	901 1.4×	392 1.2×	248	6.1k
Marc K. Albert United States	14	3.1k 1.2×	1.0k 0.6×	1.1k 0.9×	554 0.9×	187 0.6×	26	5.4k
Dingding Wang United States	27	2.6k 1.0×	1.0k 0.6×	857 0.7×	640 1.0×	180 0.5×	68	6.1k
Dale Schuurmans Canada	35	4.2k 1.7×	1.9k 1.1×	630 0.5×	490 0.8×	519 1.6×	172	7.7k
BengioYoshua	9	3.7k 1.5×	1.8k 1.1×	626 0.5×	705 1.1×	202 0.6×	10	6.8k
Jing Gao United States	37	4.0k 1.6×	1.1k 0.6×	1.2k 0.9×	788 1.3×	373 1.1×	164	6.4k

Countries citing papers authored by Chris Burges

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chris Burges

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Burges. A scholar is included among the top collaborators of Chris Burges based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Burges. Chris Burges is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Tsai, Chen-Tse, Wen-tau Yih, Chris Burges, & Scott Yih. (2015). Web-based Question Answering: Revisiting AskMSR. 5 indexed citations

2.

Burges, Chris, Léon Bottou, Max Welling, Zoubin Ghahramani, & Kilian Q. Weinberger. (2014). Advances in neural information processing systems 26: 27th Annual Conference on Neural Information Processing Systems 2013: December 5-10, Lake Tahoe, Nevada, USA. 1 indexed citations

3.

Burges, Chris, Léon Bottou, Max Welling, Zoubin Ghahramani, & Kilian Q. Weinberger. (2013). Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 1. 1 indexed citations

4.

Burges, Chris, Léon Bottou, Max Welling, Zoubin Ghahramani, & Kilian Q. Weinberger. (2013). Proceedings of the 26th International Conference on Neural Information Processing Systems. 1103 indexed citations breakdown →

5.

Zweig, Geoffrey & Chris Burges. (2012). A Challenge Set for Advancing Language Modeling. North American Chapter of the Association for Computational Linguistics. 29–36. 18 indexed citations

6.

Pereira, Francisco B., Chris Burges, Léon Bottou, & Kilian Q. Weinberger. (2012). Proceedings of the 25th International Conference on Neural Information Processing Systems. 174 indexed citations

7.

Dönmez, Pınar, Krysta M. Svore, & Chris Burges. (2008). On the Optimality of LambdaRank. Meat Science. 66(1). 18–54. 3 indexed citations

8.

Li, Ping, Chris Burges, & Qiang Wu. (2008). Learning to Rank Using Classification and Gradient Boosting. 34 indexed citations

9.

Burges, Chris, et al.. (2007). Question Answering over Implicitly Structured Web Content. 18–25. 12 indexed citations

10.

Svore, Krysta M., Qiang Wu, Chris Burges, & Aaswath P. Raman. (2007). Improving web spam classification using rank-time features. 9–16. 31 indexed citations

11.

Burges, Chris, et al.. (2006). High accuracy retrieval with multiple nested ranker. 437–444. 78 indexed citations

12.

Burges, Chris, et al.. (2006). Using Audio Fingerprinting for Duplicate Detection and Thumbnail Generation. 3. 9–12. 14 indexed citations

13.

Simard, P., Chris Burges, Donald C. Steinkraus, & H.S. Malvar. (2004). Image compression with on-line and off-line learning. 3. II–259. 1 indexed citations

14.

Sukittanon, Somsak, et al.. (2004). Convolutional networks for speech detection. 1077–1080. 33 indexed citations

15.

Burges, Chris, John Platt, & Soumya Jana. (2003). Distortion discriminant analysis for audio fingerprinting. IEEE Transactions on Speech and Audio Processing. 11(3). 165–174. 91 indexed citations

16.

Burges, Chris, P. Simard, & H.S. Malvar. (2001). Improving Wavelet Compression with Neural Networks. 486. 5 indexed citations

17.

Schölkopf, Bernhard, Chris Burges, & AJ Smola. (1999). Introduction to support vector learning. International Conference on Neural Information Processing. 1–15. 30 indexed citations

18.

Burges, Chris. (1998). Handwritten digit string recognition. MIT Press eBooks. 447–450. 2 indexed citations

19.

Schölkopf, Bernhard, Chris Burges, Federico Girosi, et al.. (1997). Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing. 45(11). 2758–2765. 1001 indexed citations breakdown →

20.

Burges, Chris, et al.. (1993). OFF LINE RECOGNITION OF HANDWRITTEN POSTAL WORDS USING NEURAL NETWORKS. International Journal of Pattern Recognition and Artificial Intelligence. 7(4). 689–704. 22 indexed citations

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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