Lawrence E. Bassham
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
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- Distributed and Parallel Computing Systems 1
- Network Security and Intrusion Detection 1
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- Chaos-based Image/Signal Encryption 2
- Co-authors
- James Nechvatal (2 shared papers)William E. Burr (1 shared paper)Edward Roback (1 shared paper)Morris J. Dworkin (1 shared paper)Elaine B. Barker (1 shared paper)David Banks (1 shared paper)James F. Dray (1 shared paper)Andrew L. Rukhin (1 shared paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Lawrence E. Bassham
4 papers receiving 569 citations
Lawrence E. Bassham's Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 399
- Hardware and Architecture 78
- Artificial Intelligence 350
- Signal Processing 69
- Statistical and Nonlinear Physics 69
Countries citing papers authored by Lawrence E. Bassham
This map shows the geographic impact of Lawrence E. Bassham'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 Lawrence E. Bassham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence E. Bassham more than expected).
Fields of papers citing papers by Lawrence E. Bassham
This network shows the impact of papers produced by Lawrence E. Bassham. 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 Lawrence E. Bassham. The network helps show where Lawrence E. Bassham may publish in the future.
Co-authors
The 15 scholars most cited alongside Lawrence E. Bassham, 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 | SP 800-22 Rev. 1a. A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications Hit paper breakdown → | 2010 | 334 |
| 2 | 2001 | 284 | |
| 3 | Internet X.509 Public Key Infrastructure Representation of Elliptic Curve Digital Signature Algorithm (ECDSA) Keys and Signatures in Internet X.509 Public Key Infrastructure Certificates | 1999 | 5 |
| 4 | Anti-virus tools and techniques for computer systems | 1995 | 1 |
About Lawrence E. Bassham
Lawrence E. Bassham is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Signal Processing, having authored 4 papers that have together received 624 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (2 papers), Computability, Logic, AI Algorithms (1 paper), Advanced Malware Detection Techniques (1 paper), Coding theory and cryptography (1 paper), Distributed and Parallel Computing Systems (1 paper), Network Security and Intrusion Detection (1 paper), Cryptographic Implementations and Security (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (399 citations), Hardware and Architecture (78 citations), Artificial Intelligence (350 citations), Signal Processing (69 citations) and Statistical and Nonlinear Physics (69 citations). Lawrence E. Bassham has collaborated with scholars based in United States and Egypt. Frequent co-authors include James Nechvatal, William E. Burr, Edward Roback, Morris J. Dworkin, Elaine B. Barker, David Banks, James F. Dray, Andrew L. Rukhin, Miles E. Smid and Nathanael A. Heckert. Their work appears in journals such as Journal of Research of the National Institute of Standards and Technology.
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.