William E. Skeith

921 total citations
4 papers, 48 citations indexed

About

William E. Skeith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, William E. Skeith has authored 4 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in William E. Skeith's work include Cryptography and Data Security (4 papers), Coding theory and cryptography (3 papers) and graph theory and CDMA systems (1 paper). William E. Skeith is often cited by papers focused on Cryptography and Data Security (4 papers), Coding theory and cryptography (3 papers) and graph theory and CDMA systems (1 paper). William E. Skeith collaborates with scholars based in United States, Thailand and France. William E. Skeith's co-authors include Rafail Ostrovsky, Antonio Nicolosi, Nelly Fazio and Ludovic Perret and has published in prestigious journals such as Journal of Cryptology, SIAM Journal on Discrete Mathematics and Designs Codes and Cryptography.

In The Last Decade

William E. Skeith

3 papers receiving 42 citations

Peers

William E. Skeith

AI

IS

CTM

CNC

SPS

Thomas P. Jakobsen Denmark

Janus Dam Nielsen Denmark

Feng-Hao Liu United States

Isamu Teranishi Japan

Oliver Niese Germany

Nico Potyka Germany

Michele Orrù United Kingdom

Joe Zimmerman United States

Saikrishna Badrinarayanan United States

Yohan Boichut France

Thomas P. Jakobsen Denmark

William E. Skeith

28 ×0.6

AI

13 ×0.9

IS

7 ×0.7

CTM

8 ×1.1

CNC

2 ×0.7

SPS

Citations per year, relative to William E. Skeith William E. Skeith (= 1×) peers Thomas P. Jakobsen

Countries citing papers authored by William E. Skeith

Since Specialization

Citations

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

Fields of papers citing papers by William E. Skeith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Skeith. 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 William E. Skeith. The network helps show where William E. Skeith may publish in the future.

Co-authorship network of co-authors of William E. Skeith

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

All Works

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4 of 4 papers shown

1.

Ostrovsky, Rafail, et al.. (2016). On the Black-box Use of Somewhat Homomorphic Encryption in NonInteractive Two-Party Protocols. SIAM Journal on Discrete Mathematics. 30(1). 266–295. 2 indexed citations

2.

Fazio, Nelly, et al.. (2013). Hardness of learning problems over Burnside groups of exponent 3. Designs Codes and Cryptography. 75(1). 59–70.

3.

Ostrovsky, Rafail & William E. Skeith. (2007). Homomorphic encryption and non-interactive secure computation. 1 indexed citations

4.

Ostrovsky, Rafail & William E. Skeith. (2007). Private Searching on Streaming Data. Journal of Cryptology. 20(4). 397–430. 45 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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