Chris K. Williams

430 total citations
8 papers, 285 citations indexed

About

Chris K. Williams is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Chris K. Williams has authored 8 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 1 paper in Computational Mechanics. Recurrent topics in Chris K. Williams's work include Sparse and Compressive Sensing Techniques (1 paper), Random Matrices and Applications (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). Chris K. Williams is often cited by papers focused on Sparse and Compressive Sensing Techniques (1 paper), Random Matrices and Applications (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). Chris K. Williams collaborates with scholars based in United States and United Kingdom. Chris K. Williams's co-authors include John Shawe‐Taylor, Aron Culotta, John Lafferty, Richard S. Zemel, Nello Cristianini, Jaz Kandola, Yoshua Bengio, Dale Schuurmans, Silvio Savarese and Luc Van Gool and has published in prestigious journals such as IEEE Transactions on Information Theory and Apress eBooks.

In The Last Decade

Chris K. Williams

8 papers receiving 272 citations

Peers

Chris K. Williams
Thomas Bühler Germany
Boyán Bonev Spain
Andrew Ilyas United States
Thomas Allen United States
Christopher Musco United States
Mohamed Ishmael Belghazi Canada
Gadi Aleksandrowicz Israel
A. H. El-Baz Egypt
Hongliang Fei United States
Alexander Novikov Russia
Thomas Bühler Germany
Chris K. Williams
Citations per year, relative to Chris K. Williams Chris K. Williams (= 1×) peers Thomas Bühler

Countries citing papers authored by Chris K. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Chris K. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris K. Williams. 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 K. Williams. The network helps show where Chris K. Williams may publish in the future.

Co-authorship network of co-authors of Chris K. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Chris K. Williams. A scholar is included among the top collaborators of Chris K. Williams 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 K. Williams. Chris K. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Williams, Chris K., et al.. (2018). Enterprise Cybersecurity Study Guide. Apress eBooks. 3 indexed citations
2.
Williams, Chris K., et al.. (2015). Enterprise Cybersecurity. Apress eBooks. 9 indexed citations
3.
Sun, Min, Silvio Savarese, Mark Everingham, et al.. (2011). Technical Report: Articulated Part-based Model for Joint Object Detection and Pose Estimation. 1 indexed citations
4.
Lafferty, John, Chris K. Williams, John Shawe‐Taylor, Richard S. Zemel, & Aron Culotta. (2010). Proceedings of the 23rd International Conference on Neural Information Processing Systems - Volume 1. 42 indexed citations
5.
Lafferty, John, Chris K. Williams, John Shawe‐Taylor, Richard S. Zemel, & Aron Culotta. (2010). Proceedings of the 23rd International Conference on Neural Information Processing Systems. 77 indexed citations
6.
Bengio, Yoshua, Dale Schuurmans, John Lafferty, Chris K. Williams, & Aron Culotta. (2009). Proceedings of the 22nd International Conference on Neural Information Processing Systems. 66 indexed citations
7.
8.
Shawe‐Taylor, John, Chris K. Williams, Nello Cristianini, & Jaz Kandola. (2005). On the Eigenspectrum of the Gram Matrix and the Generalization Error of Kernel-PCA. IEEE Transactions on Information Theory. 51(7). 2510–2522. 86 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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2026