Daniel V. Bailey

845 citations
14 papers · 189 · h-index 8

Impact in

Papers in

Daniel V. Bailey

11 papers receiving 157 citations

Peers

Daniel V. Bailey
Comparison fields: 5 of 27
  • Information Systems 129
  • Signal Processing 44
  • Artificial Intelligence 110
  • Human-Computer Interaction 11
  • Computer Networks and Communications 45
Replace Syh‐Yuan Tan with:
Syh‐Yuan Tan Malaysia
Albert B. Jeng Taiwan
Thomas Given-Wilson France
Marc Girault France
Dominique Schröder Germany
Ben Smyth Luxembourg
Nhan Nguyen United States
Ioana Boureanu United Kingdom
Harashta Tatimma Larasati South Korea
Sébastien Canard France
Daniel V. Bailey relative to Syh‐Yuan Tan Malaysia Syh‐Yuan Tan's profile →
Citations per field
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Syh‐Yuan Tan · 1×
Citations per year

Countries citing papers authored by Daniel V. Bailey

Since Specialization
Citations

This map shows the geographic impact of Daniel V. Bailey'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 V. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel V. Bailey more than expected).

Fields of papers citing papers by Daniel V. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel V. Bailey. 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 V. Bailey. The network helps show where Daniel V. Bailey may publish in the future.

Co-authors

The 17 scholars most cited alongside Daniel V. Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel V. Bailey Line = papers co-authored together Daniel V. Bailey links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200156
2
AES-CCM Cipher Suites for Transport Layer Security (TLS)
201229
3 202024
4
Optimal Extension Fields for Fast Arithmetic in Public-Key Algorithms
199823
5 200715
6 201013
7 20079
8 20218
9 19776
10
"I want my money back!" Limiting Online Password-Guessing Financially.
20172
11
Computation in Optimal Extension Fields
20002
12
Inversion in optimal extension fields
19991
13 20091
14 20230

About Daniel V. Bailey

Daniel V. Bailey is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Computational Theory and Mathematics and Signal Processing, having authored 14 papers that have together received 189 indexed citations. Recurring topics across this work include User Authentication and Security Systems (6 papers), Privacy, Security, and Data Protection (3 papers), Advanced Malware Detection Techniques (2 papers), Coding theory and cryptography (2 papers), Advanced Numerical Analysis Techniques (2 papers), Cryptography and Residue Arithmetic (2 papers), RFID technology advancements (2 papers) and Numerical Methods and Algorithms (2 papers). The work is most often cited by research in Information Systems (129 citations), Signal Processing (44 citations), Artificial Intelligence (110 citations), Human-Computer Interaction (11 citations) and Computer Networks and Communications (45 citations). Daniel V. Bailey has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Christof Paar, David McGrew, Markus Dürmuth, Maximilian Golla, Adam J. Aviv, Kevin Fu, Thomas S. Heydt-Benjamin, Ari Juels, Junfeng Fan and Lejla Batina. Their work appears in journals such as Electronics Letters, ACM Transactions on Privacy and Security, Journal of Cryptology, Lecture notes in computer science and Lirias (KU Leuven).

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.

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