Edward Knapp
Impact in
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Coding theory and cryptography
- Cryptographic Implementations and Security
- Privacy-Preserving Technologies in Data
- Information Systems top 5%
- Cryptography and Residue Arithmetic
Papers in
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- Coding theory and cryptography 6
- Cryptography and Data Security 5
- Internet Traffic Analysis and Secure E-voting 1
- Target Tracking and Data Fusion in Sensor Networks 1
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- Polynomial and algebraic computation 2
- Advanced Algebra and Logic 2
- Co-authors
- Francisco Rodríguez‐Henríquez (4 shared papers)Alfred Menezes (5 shared papers)Tibor Jager (1 shared paper)Dennis Hofheinz (1 shared paper)George Grätzer (2 shared papers)Diego F. Aranha (3 shared papers)Darrel Hankerson (1 shared paper)Sanjit Chatterjee (1 shared paper)
In The Last Decade
Edward Knapp
11 papers receiving 258 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 220
- Information Systems 146
- Computational Theory and Mathematics 88
- Geometry and Topology 13
- Discrete Mathematics and Combinatorics 4
Countries citing papers authored by Edward Knapp
This map shows the geographic impact of Edward Knapp'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 Edward Knapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Knapp more than expected).
Fields of papers citing papers by Edward Knapp
This network shows the impact of papers produced by Edward Knapp. 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 Edward Knapp. The network helps show where Edward Knapp may publish in the future.
Co-authors
The 12 scholars most cited alongside Edward Knapp, 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 | 2012 | 55 | |
| 2 | 2013 | 55 | |
| 3 | 2009 | 41 | |
| 4 | 2012 | 40 | |
| 5 | 2010 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2011 | 15 | |
| 8 | 2011 | 12 | |
| 9 | 2008 | 10 | |
| 10 | Implementing Pairings at the 192-bit Security Level. | 2012 | 2 |
| 11 | 2013 | 1 |
About Edward Knapp
Edward Knapp is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Discrete Mathematics and Combinatorics and Oceanography, having authored 11 papers that have together received 271 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (6 papers), Coding theory and cryptography (6 papers), Cryptography and Data Security (5 papers), Polynomial and algebraic computation (2 papers), Advanced Algebra and Logic (2 papers), Internet Traffic Analysis and Secure E-voting (1 paper), graph theory and CDMA systems (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Artificial Intelligence (220 citations), Information Systems (146 citations), Computational Theory and Mathematics (88 citations), Geometry and Topology (13 citations) and Discrete Mathematics and Combinatorics (4 citations). Edward Knapp has collaborated with scholars based in Canada, Mexico and Brazil. Frequent co-authors include Francisco Rodríguez‐Henríquez, Alfred Menezes, Tibor Jager, Dennis Hofheinz, George Grätzer, Diego F. Aranha, Darrel Hankerson, Sanjit Chatterjee, Simon R. Maskell and Jeremy Day. Their work appears in journals such as IEEE Signal Processing Letters, Designs Codes and Cryptography, Advances in Mathematics of Communications, Lecture notes in computer science and Algebra Universalis.
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.