Lawrence E. Bassham
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- James NechvatalEdward RobackMorris J. DworkinWilliam E. BurrMiles E. SmidElaine B. BarkerNathanael A. HeckertDavid Banks
- Topics
- Chaos-based Image/Signal Encryption (2 papers)Distributed and Parallel Computing Systems (1 paper)Cryptographic Implementations and Security (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Lawrence E. Bassham
4 papers receiving 569 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 399
- Artificial Intelligence 350
- Computer Networks and Communications 88
- Information Systems 86
- Computational Theory and Mathematics 80
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-authorship network of co-authors of Lawrence E. Bassham
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence E. Bassham. A scholar is included among the top collaborators of Lawrence E. Bassham 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 Lawrence E. Bassham. Lawrence E. Bassham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | SP 800-22 Rev. 1a. A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applicationsbreakdown → | 334 |
| 2 | 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 | 5 |
| 4 | Anti-virus tools and techniques for computer systems | 1 |
About Lawrence E. Bassham
Lawrence E. Bassham is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 4 papers that have together received 624 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (2 papers), Distributed and Parallel Computing Systems (1 paper) and Cryptographic Implementations and Security (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (399 citations), Hardware and Architecture (78 citations) and Artificial Intelligence (350 citations). Lawrence E. Bassham has collaborated with scholars based in United States and Egypt. Frequent co-authors include James Nechvatal, Edward Roback, Morris J. Dworkin, William E. Burr, Miles E. Smid, Elaine B. Barker, Nathanael A. Heckert, David Banks, Márk Vangel and Stefan D. Leigh. 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.