Chris K. Williams

99 total papers · 429 total citations
8 papers, 284 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 284 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 Image and Object Detection Techniques (1 paper), Advanced Neural Network Applications (1 paper) and IPv6, Mobility, Handover, Networks, Security (1 paper). Chris K. Williams is often cited by papers focused on Image and Object Detection Techniques (1 paper), Advanced Neural Network Applications (1 paper) and IPv6, Mobility, Handover, Networks, Security (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, Jaz Kandola, Nello Cristianini, Dale Schuurmans, Yoshua Bengio, Andrew Zisserman and Silvio Savarese 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 270 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chris K. Williams	134	94	41	35	21	8	284
Erhan Gökçay	158 1.2×	110 1.2×	19 0.5×	54 1.5×	30 1.4×	15	291
Lawrence Cayton	95 0.7×	116 1.2×	28 0.7×	52 1.5×	13 0.6×	9	244
Yunlong He	88 0.7×	76 0.8×	83 2.0×	39 1.1×	16 0.8×	6	272
Victor Bittorf	145 1.1×	63 0.7×	70 1.7×	51 1.5×	58 2.8×	5	254
Thomas Bühler	110 0.8×	97 1.0×	54 1.3×	17 0.5×	22 1.0×	4	291
Shengbo Guo	124 0.9×	40 0.4×	30 0.7×	28 0.8×	14 0.7×	8	227
Markus Maier	113 0.8×	87 0.9×	12 0.3×	21 0.6×	7 0.3×	4	186
Ching-pei Lee	144 1.1×	71 0.8×	22 0.5×	37 1.1×	32 1.5×	13	263
Ali Çivril	66 0.5×	69 0.7×	81 2.0×	26 0.7×	31 1.5×	6	238
Boyán Bonev	111 0.8×	143 1.5×	11 0.3×	18 0.5×	12 0.6×	19	253

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

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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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