Neil Hanley

1.2k citations
32 papers · 665 indexed · h-index 14

Impact in

Papers in

Neil Hanley

31 papers receiving 646 citations

Peers

Neil Hanley
Comparison fields: 5 of 29
  • Hardware and Architecture 429
  • Artificial Intelligence 343
  • Signal Processing 105
  • Computer Vision and Pattern Recognition 163
  • Cellular and Molecular Neuroscience 134
Replace Dries Schellekens with:
Dries Schellekens Belgium
Yingjie Lao United States
Yue Zheng Singapore
Lilian Bossuet France
Toshihiro Katashita Japan
Viktor Fischer France
Kurt Rosenfeld United States
Mitsugu Iwamoto Japan
Akashi Satoh Japan
Takeshi Fujino Japan
Neil Hanley relative to Dries Schellekens Belgium Dries Schellekens's profile →
Citations per field
00.5×1.5×2.3×
Dries Schellekens · 1×
Citations per year

Countries citing papers authored by Neil Hanley

Since Specialization
Citations

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

Fields of papers citing papers by Neil Hanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Hanley. 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 Neil Hanley. The network helps show where Neil Hanley may publish in the future.

Co-authors

The 25 scholars most cited alongside Neil Hanley, 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 Neil Hanley Line = papers co-authored together Neil Hanley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202410
2 20221
3 202013
4 20203
5 20204
6 201963
7 20192
8 201818
9 201843
10 201816
11 201737
12 201750
13 201632
14 201581
15 20140
16 201412
17 20144
18
Exploiting Collisions in Addition Chain-based Exponentiation Algorithms Using a Single Trace
20122
19 201250
20 201110

About Neil Hanley

Neil Hanley is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 32 papers that have together received 665 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (19 papers), Cryptographic Implementations and Security (15 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers), Advanced Memory and Neural Computing (8 papers), Chaos-based Image/Signal Encryption (7 papers), Coding theory and cryptography (6 papers), Cryptography and Residue Arithmetic (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Hardware and Architecture (429 citations), Artificial Intelligence (343 citations), Signal Processing (105 citations), Computer Vision and Pattern Recognition (163 citations) and Cellular and Molecular Neuroscience (134 citations). Neil Hanley has collaborated with scholars based in United Kingdom, China and Ireland. Frequent co-authors include Máire O׳Neill, Chongyan Gu, Weiqiang Liu, Máire O’Neill, Yijun Cui, William P. Marnane, Ciara Rafferty, Mark Hamilton, Andrew W. Byrne and Fabrizio Lombardi. Their work appears in journals such as IEEE Transactions on Computers, Journal of Cryptographic Engineering, International Journal of Information Security, Advanced Quantum Technologies and IEEE Aerospace and Electronic Systems Magazine.

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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