Daniel R. L. Brown
- Artificial Intelligence
- Information Systems
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- D. M. JacksonDonatello MaterassiNicole McFarlaneNeal KoblitzGarrett S. RoseScott MurrayAllison WorthKirsty Boyd
- Topics
- Cryptographic Implementations and Security (4 papers)Cryptography and Data Security (3 papers)Cryptography and Residue Arithmetic (3 papers)
- Journals
- Journal of Combinatorial Theory Series BJournal of CryptologyDesigns Codes and Cryptography
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Daniel R. L. Brown
9 papers receiving 73 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 55
- Information Systems 41
- Computer Networks and Communications 19
- Computer Vision and Pattern Recognition 16
- Computational Theory and Mathematics 13
Countries citing papers authored by Daniel R. L. Brown
This map shows the geographic impact of Daniel R. L. Brown'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 Daniel R. L. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. L. Brown more than expected).
Fields of papers citing papers by Daniel R. L. Brown
This network shows the impact of papers produced by Daniel R. L. Brown. 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 Daniel R. L. Brown. The network helps show where Daniel R. L. Brown may publish in the future.
Co-authorship network of co-authors of Daniel R. L. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. L. Brown. A scholar is included among the top collaborators of Daniel R. L. Brown 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 Daniel R. L. Brown. Daniel R. L. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | Key Challenges and Ways forward in Researching the 'Good Death' | 2 |
| 7 | 6 | |
| 8 | Additional Algorithms and Identifiers for use of Elliptic Curve Cryptography with PKIX | 1 |
| 9 | 49 | |
| 10 | 1 | |
| 11 | 0 |
About Daniel R. L. Brown
Daniel R. L. Brown is a scholar working on Discrete Mathematics and Combinatorics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 11 papers that have together received 85 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (4 papers), Cryptography and Data Security (3 papers) and Cryptography and Residue Arithmetic (3 papers). The work is most often cited by research in Information Systems (41 citations), Artificial Intelligence (55 citations) and Discrete Mathematics and Combinatorics (5 citations). Daniel R. L. Brown has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include D. M. Jackson, Donatello Materassi, Nicole McFarlane, Neal Koblitz, Garrett S. Rose, Scott Murray, Allison Worth, Kirsty Boyd, Fiona Harris and Marilyn Kendall. Their work appears in journals such as Journal of Combinatorial Theory Series B, Journal of Cryptology and Designs Codes and Cryptography.
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.