Chris K. Williams

About

Chris K. Williams is a scholar working on Computational Mechanics, Statistics and Probability and Signal Processing. According to data from OpenAlex, Chris K. Williams has authored 3 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computational Mechanics, 1 paper in Statistics and Probability and 1 paper in Signal Processing. Recurrent topics in Chris K. Williams’s work include Sparse and Compressive Sensing Techniques (1 paper), Blind Source Separation Techniques (1 paper) and Random Matrices and Applications (1 paper). Chris K. Williams is often cited by papers focused on Sparse and Compressive Sensing Techniques (1 paper), Blind Source Separation Techniques (1 paper) and Random Matrices and Applications (1 paper). Chris K. Williams collaborates with scholars based in United Kingdom and United States. Chris K. Williams's co-authors include Jaz Kandola, Nello Cristianini and John Shawe‐Taylor and has published in prestigious journals such as IEEE Transactions on Information Theory and Apress eBooks.

In The Last Decade

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

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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.

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).

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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