Robert C. Williamson

18.1k total citations · 4 hit papers
173 papers, 11.5k citations indexed

About

Robert C. Williamson is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Robert C. Williamson has authored 173 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 34 papers in Signal Processing and 23 papers in Computational Mechanics. Recurrent topics in Robert C. Williamson's work include Machine Learning and Algorithms (30 papers), Neural Networks and Applications (24 papers) and Speech and Audio Processing (20 papers). Robert C. Williamson is often cited by papers focused on Machine Learning and Algorithms (30 papers), Neural Networks and Applications (24 papers) and Speech and Audio Processing (20 papers). Robert C. Williamson collaborates with scholars based in Australia, United States and United Kingdom. Robert C. Williamson's co-authors include Alex Smola, Bernhard Schölkopf, John Shawe‐Taylor, John Platt, Peter L. Bartlett, Jyrki Kivinen, D.B. Ward, Rodney A. Kennedy, Tom D. Downs and Eric Lehmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Psychologist and American Sociological Review.

In The Last Decade

Robert C. Williamson

162 papers receiving 10.7k 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.

Estimating the Support of a High-Dimensional Distribution

2001 3.8k citations Bernhard Schölkopf, John Platt et al. profile →
New Support Vector Algorithms

2000 2.0k citations Bernhard Schölkopf, Alex Smola et al. profile →
Support Vector Method for Novelty Detection

1999 1.4k citations Bernhard Schölkopf, Robert C. Williamson et al. UCL Discovery (University College London) profile →
Online Learning with Kernels

2004 686 citations Alex Smola, Robert C. Williamson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert C. Williamson Australia	31	6.0k	2.4k	2.2k	1.6k	1.5k	173	11.5k
J. Rissanen United States	40	7.2k 1.2×	3.0k 1.3×	2.8k 1.3×	1.3k 0.9×	1.4k 1.0×	119	13.5k
Chris Bishop United Kingdom	35	9.2k 1.5×	5.4k 2.3×	3.0k 1.3×	2.2k 1.4×	1.3k 0.9×	100	24.0k
Arindam Banerjee United States	35	8.8k 1.5×	2.1k 0.9×	2.6k 1.2×	1.3k 0.9×	3.6k 2.4×	141	13.6k
George Cybenko United States	30	5.3k 0.9×	1.3k 0.5×	1.0k 0.5×	2.3k 1.5×	2.3k 1.5×	151	12.9k
Robert P. W. Duin Netherlands	46	7.7k 1.3×	5.7k 2.4×	2.5k 1.1×	1.5k 1.0×	1.0k 0.7×	160	15.1k
John Langford United States	37	7.2k 1.2×	6.0k 2.5×	1.8k 0.8×	884 0.6×	1.1k 0.8×	115	15.1k
Peter Flach United Kingdom	45	9.5k 1.6×	6.1k 2.6×	1.4k 0.6×	856 0.6×	1.2k 0.8×	218	20.9k
Nando de Freitas Canada	32	7.5k 1.3×	2.7k 1.1×	1.0k 0.5×	2.1k 1.4×	1.4k 0.9×	102	15.2k
Isabelle Guyon United States	35	8.8k 1.5×	6.3k 2.7×	1.7k 0.8×	1.2k 0.8×	821 0.6×	116	21.9k
Christopher J. C. Burges United States	27	9.5k 1.6×	7.4k 3.1×	2.7k 1.2×	2.2k 1.4×	895 0.6×	43	23.5k

Countries citing papers authored by Robert C. Williamson

Since Specialization

Citations

This map shows the geographic impact of Robert C. Williamson'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 Robert C. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert C. Williamson more than expected).

Fields of papers citing papers by Robert C. Williamson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Williamson. 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 Robert C. Williamson. The network helps show where Robert C. Williamson may publish in the future.

Co-authorship network of co-authors of Robert C. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Williamson. A scholar is included among the top collaborators of Robert C. Williamson 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 Robert C. Williamson. Robert C. Williamson 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

Johnston, David, Cheng Soon Ong, & Robert C. Williamson. (2025). Decision making, symmetry and structure: Justifying causal interventions. SHILAP Revista de lepidopterología. 13(1).

Williamson, Robert C. & Aditya Krishna Menon. (2019). Fairness risk measures. arXiv (Cornell University). 6786–6797. 6 indexed citations

Nock, Richard, et al.. (2019). A Primal-Dual link between GANs and Autoencoders. Neural Information Processing Systems. 32. 413–422. 1 indexed citations

Williamson, Robert C., et al.. (2018). A Theory of Learning with Corrupted Labels. Journal of Machine Learning Research. 18(228). 1–50. 16 indexed citations

Menon, Aditya Krishna & Robert C. Williamson. (2016). Bipartite ranking: a risk-theoretic perspective. Journal of Machine Learning Research. 17(1). 6766–6867. 13 indexed citations

Erven, Tim van, Peter Grünwald, Nishant A. Mehta, Mark D. Reid, & Robert C. Williamson. (2015). Fast rates in statistical and online learning. Journal of Machine Learning Research. 16(1). 1793–1861. 18 indexed citations

Steinwart, Ingo, et al.. (2014). Elicitation and Identification of Properties. ANU Open Research (Australian National University). 482–526. 25 indexed citations

Ramaswamy, Harish G., et al.. (2014). On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems. ANU Open Research (Australian National University). 885–902. 4 indexed citations

Guyon, Isabelle, Ulrike von Luxburg, & Robert C. Williamson. (2009). Clustering: Science or Art?. MPG.PuRe (Max Planck Society). 1–11. 46 indexed citations

10.

Ong, Cheng Soon, Robert C. Williamson, & Alex Smola. (2002). Hyperkernels. Neural Information Processing Systems. 495–502. 3 indexed citations

11.

Ward, D.B. & Robert C. Williamson. (2002). Particle filter beamforming for acoustic source localization in a reverberant environment. ANU Open Research (Australian National University). II–1777. 41 indexed citations

12.

Smola, Alex, et al.. (2000). Regularization with Dot-Product Kernels. ANU Open Research (Australian National University). 13. 308–314. 44 indexed citations

13.

Williamson, Robert C., Alex Smola, & Bernhard Schölkopf. (2000). Entropy Numbers of Linear Function Classes. Conference on Learning Theory. 309–319. 9 indexed citations

14.

Graepel, Thore, Ralf Herbrich, & Robert C. Williamson. (2000). From Margin to Sparsity. UCL Discovery (University College London). 210–216. 28 indexed citations

15.

Schölkopf, Bernhard, Robert C. Williamson, Alex Smola, John Shawe‐Taylor, & John Platt. (1999). Support Vector Method for Novelty Detection. UCL Discovery (University College London). 12. 582–588. 1395 indexed citations breakdown →

16.

Schölkopf, Bernhard, Peter L. Bartlett, Alex Smola, & Robert C. Williamson. (1998). Shrinking the Tube: A New Support Vector Regression Algorithm. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 11. 330–336. 138 indexed citations

17.

Kootsookos, Peter J., D.B. Ward, & Robert C. Williamson. (1996). Frequency Invariant Broadband Beamforming with Exact Null Placement. Queensland's institutional digital repository (The University of Queensland). 40(3). 105–108. 1 indexed citations

18.

Bartlett, Peter L. & Robert C. Williamson. (1991). Investigating the distribution assumptions in the Pac learning model. Conference on Learning Theory. 24–32. 9 indexed citations

19.

Williamson, Robert C.. (1990). e-Entropy and the Complexity of Feedforward Neural Networks. Neural Information Processing Systems. 3. 946–952. 13 indexed citations

20.

Williamson, Robert C., et al.. (1956). La Sociología en América Latina. Revista Mexicana de Sociología. 18(1). 145. 3 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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