Hugh C. Williams

140 total papers · 1.0k total citations
46 papers, 480 citations indexed

About

Hugh C. Williams is a scholar working on Artificial Intelligence, Algebra and Number Theory and Geometry and Topology. According to data from OpenAlex, Hugh C. Williams has authored 46 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Algebra and Number Theory and 12 papers in Geometry and Topology. Recurrent topics in Hugh C. Williams's work include Coding theory and cryptography (20 papers), Cryptography and Residue Arithmetic (10 papers) and Analytic Number Theory Research (10 papers). Hugh C. Williams is often cited by papers focused on Coding theory and cryptography (20 papers), Cryptography and Residue Arithmetic (10 papers) and Analytic Number Theory Research (10 papers). Hugh C. Williams collaborates with scholars based in Canada, United States and Germany. Hugh C. Williams's co-authors include Renate Scheidler, Johannes Buchmann, Michael J. Jacobson, Andreas Stein, Attila Pethő, John Loxton, Lawrence C. Washington, Michael J. Jacobson, R. G. Stanton and Herman te Riele and has published in prestigious journals such as Mathematics of Computation, Pediatric Research and Pacific Journal of Mathematics.

In The Last Decade

Hugh C. Williams

43 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Hugh C. Williams 243 175 132 125 100 46 480
Hans Riesel 146 0.6× 130 0.7× 203 1.5× 83 0.7× 105 1.1× 40 445
Jaime Gutiérrez 176 0.7× 147 0.8× 78 0.6× 84 0.7× 216 2.2× 60 489
Noam D. Elkies 123 0.5× 237 1.4× 153 1.2× 35 0.3× 82 0.8× 30 516
François Morain 314 1.3× 183 1.0× 71 0.5× 339 2.7× 138 1.4× 24 476
Michael Anshel 225 0.9× 154 0.9× 35 0.3× 47 0.4× 125 1.3× 38 470
Hans Delfs 138 0.6× 163 0.9× 122 0.9× 79 0.6× 83 0.8× 16 459
Edward F. Schaefer 133 0.5× 315 1.8× 70 0.5× 61 0.5× 110 1.1× 17 424
H.E. Jensen 337 1.4× 45 0.3× 49 0.4× 44 0.4× 122 1.2× 20 454
Mark Giesbrecht 238 1.0× 63 0.4× 66 0.5× 78 0.6× 408 4.1× 50 538
Jacques Martinet 97 0.4× 259 1.5× 144 1.1× 24 0.2× 58 0.6× 36 434

Countries citing papers authored by Hugh C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Hugh C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugh C. Williams

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