William E. Skeith
Impact in
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- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Cryptographic Implementations and Security
- Coding theory and cryptography
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- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 4
- Coding theory and cryptography 3
- Privacy-Preserving Technologies in Data 1
- Cryptographic Implementations and Security 1
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- Chaos-based Image/Signal Encryption 1
- Co-authors
- Rafail Ostrovsky (3 shared papers)Antonio Nicolosi (1 shared paper)Nelly Fazio (1 shared paper)Ludovic Perret (1 shared paper)
- Journals
- Designs Codes and Cryptography (1 paper)SIAM Journal on Discrete Mathematics (1 paper)Journal of Cryptology (1 paper)
- Partner nations
- United StatesThailandFrance
In The Last Decade
William E. Skeith
3 papers receiving 42 citations
Peers
Comparison fields: 5 of 11
- Artificial Intelligence 44
- Computational Theory and Mathematics 10
- Information Systems 14
- Computer Networks and Communications 7
- Health Information Management 1
Countries citing papers authored by William E. Skeith
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
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-authors
The 4 scholars most cited alongside William E. Skeith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 45 | |
| 2 | 2016 | 2 | |
| 3 | Homomorphic encryption and non-interactive secure computation | 2007 | 1 |
| 4 | 2013 | 0 |
About William E. Skeith
William E. Skeith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Electrical and Electronic Engineering and Infectious Diseases, having authored 4 papers that have together received 48 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Coding theory and cryptography (3 papers), Privacy-Preserving Technologies in Data (1 paper), Complexity and Algorithms in Graphs (1 paper), graph theory and CDMA systems (1 paper), Cryptographic Implementations and Security (1 paper) and Chaos-based Image/Signal Encryption (1 paper). The work is most often cited by research in Artificial Intelligence (44 citations), Computational Theory and Mathematics (10 citations), Information Systems (14 citations), Computer Networks and Communications (7 citations) and Health Information Management (1 citation). William E. Skeith has collaborated with scholars based in United States, Thailand and France. Frequent co-authors include Rafail Ostrovsky, Antonio Nicolosi, Nelly Fazio and Ludovic Perret. Their work appears in journals such as Designs Codes and Cryptography, SIAM Journal on Discrete Mathematics and Journal of Cryptology.
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.