Ernie Brickell
Impact in
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Security and Verification in Computing
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Information Systems top 2%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
Papers in
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- Cryptography and Data Security 7
- Privacy-Preserving Technologies in Data 5
- Security and Verification in Computing 3
- Internet Traffic Analysis and Secure E-voting 1
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- Cryptography and Residue Arithmetic 1
- Cloud Data Security Solutions 1
- User Authentication and Security Systems 1
- Co-authors
- Liqun Chen (2 shared papers)Jan Camenisch (1 shared paper)Jiangtao Li (5 shared papers)Peter Gemmell (1 shared paper)David W. Kravitz (1 shared paper)
- Journals
- International Journal of Information Security (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)Symposium on Discrete Algorithms (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ernie Brickell
7 papers receiving 639 citations
Ernie Brickell's Hit Papers
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 600
- Information Systems 339
- Computer Networks and Communications 217
- Signal Processing 75
- Hardware and Architecture 38
Countries citing papers authored by Ernie Brickell
This map shows the geographic impact of Ernie Brickell'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 Ernie Brickell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernie Brickell more than expected).
Fields of papers citing papers by Ernie Brickell
This network shows the impact of papers produced by Ernie Brickell. 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 Ernie Brickell. The network helps show where Ernie Brickell may publish in the future.
Co-authors
The 5 scholars most cited alongside Ernie Brickell, 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 | Direct anonymous attestation Hit paper breakdown → | 2004 | 443 |
| 2 | 2007 | 71 | |
| 3 | 1995 | 60 | |
| 4 | 2011 | 47 | |
| 5 | 2009 | 36 | |
| 6 | 2010 | 22 | |
| 7 | 2011 | 18 |
About Ernie Brickell
Ernie Brickell is a scholar working on Artificial Intelligence, Information Systems, Hardware and Architecture, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 697 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (5 papers), Security and Verification in Computing (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Cryptography and Residue Arithmetic (1 paper), Cloud Data Security Solutions (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Artificial Intelligence (600 citations), Information Systems (339 citations), Computer Networks and Communications (217 citations), Signal Processing (75 citations) and Hardware and Architecture (38 citations). Ernie Brickell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Liqun Chen, Jan Camenisch, Jiangtao Li, Peter Gemmell and David W. Kravitz. Their work appears in journals such as International Journal of Information Security, IEEE Transactions on Dependable and Secure Computing and Symposium on Discrete Algorithms.
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.