Daniel Smith-Tone
Impact in
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- Coding theory and cryptography
- Cryptographic Implementations and Security
- Cryptography and Data Security
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- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
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- Cryptographic Implementations and Security 3
- Cryptography and Data Security 2
- Coding theory and cryptography 2
- Quantum Computing Algorithms and Architecture 1
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- Cryptography and Residue Arithmetic 3
- Co-authors
- Souradyuti Paul (2 shared papers)Dustin Moody (2 shared papers)Ming-Syan Chen⋆ (1 shared paper)Bo‐Yin Yang (1 shared paper)Jíntai Ding (1 shared paper)Kenneth D. Steckler (1 shared paper)William L. Grosshandler (1 shared paper)
- Journals
- Designs Codes and Cryptography (2 papers)Finite Fields and Their Applications (1 paper)Journal of Mathematical Cryptology (1 paper)Rocky Mountain Journal of Mathematics (1 paper)Notices of the American Mathematical Society (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Daniel Smith-Tone
8 papers receiving 18 citations
Peers
Comparison fields: 5 of 10
- Artificial Intelligence 17
- Hardware and Architecture 3
- Computational Theory and Mathematics 6
- Computer Vision and Pattern Recognition 7
- Information Systems 7
Countries citing papers authored by Daniel Smith-Tone
This map shows the geographic impact of Daniel Smith-Tone'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 Smith-Tone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Smith-Tone more than expected).
Fields of papers citing papers by Daniel Smith-Tone
This network shows the impact of papers produced by Daniel Smith-Tone. 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 Smith-Tone. The network helps show where Daniel Smith-Tone may publish in the future.
Co-authors
The 7 scholars most cited alongside Daniel Smith-Tone, 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 | 2015 | 5 | |
| 2 | PFLASH - Secure Asymmetric Signatures on Smart Cards | 2015 | 4 |
| 3 | 2020 | 2 | |
| 4 | 2017 | 2 | |
| 5 | 2015 | 2 | |
| 6 | 2020 | 2 | |
| 7 | 2016 | 1 | |
| 8 | Clean Agent Performance on Fires Exposed to an External Energy Source. | 1998 | 1 |
About Daniel Smith-Tone
Daniel Smith-Tone is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 8 papers that have together received 19 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (3 papers), Cryptographic Implementations and Security (3 papers), Cryptography and Data Security (2 papers), Polynomial and algebraic computation (2 papers), Coding theory and cryptography (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Artificial Intelligence (17 citations), Hardware and Architecture (3 citations), Computational Theory and Mathematics (6 citations), Computer Vision and Pattern Recognition (7 citations) and Information Systems (7 citations). Daniel Smith-Tone has collaborated with scholars based in United States and India. Frequent co-authors include Souradyuti Paul, Dustin Moody, Ming-Syan Chen⋆, Bo‐Yin Yang, Jíntai Ding, Kenneth D. Steckler and William L. Grosshandler. Their work appears in journals such as Designs Codes and Cryptography, Finite Fields and Their Applications, Journal of Mathematical Cryptology, Rocky Mountain Journal of Mathematics and Notices of the American Mathematical Society.
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.