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Paul Barrett

dblp:62/424 · DBLP profile ↗
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4ranked-venue papers
2as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Network and information security
2 papers
Hardware security and side channels · 66% Cryptographic primitives and cryptanalysis · 34%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › bioinformatics infrastructure
web-based bioinformatics tools
0.412019
SATurn: a modular bioinformatics framework for the design of robust maintainable web-based and standalone applications · Bioinform. 2019
Hardware security and side channels
cryptographic hardware
0.011989
The Smart Siskette - A Universal User Token and Personal Crypto-Engine · CRYPTO 1989
Cryptographic primitives and cryptanalysis
public-key cryptography
0.011986
Implementing the Rivest Shamir and Adleman Public Key Encryption Algorithm on a Standard Digital Signal Processor · CRYPTO 1986
Integrated circuit design › digital signal processing circuits
digital signal processor design
0.011986
Implementing the Rivest Shamir and Adleman Public Key Encryption Algorithm on a Standard Digital Signal Processor · CRYPTO 1986

Methods — techniques the papers use, named apart from their topics

modular software design · 0.4RSA · 0.0cryptographic token · 0.0
YearPublicationVenuePosition
2024 Testing the Consistency of the Boundary Element Method for Computing the Backscattering Properties of Complex Ice Crystals at Multiple Radar Frequencies
abstract
The backscattering properties of randomly oriented complex rosette ice aggregates at the radar frequencies of about 9, 35, and 94 GHz are computed using the boundary element method. A Monte Carlo model is used to generate the rosette aggregates, and 65 aggregates are selected from the statistical runs that are within ±30% of a mass–dimension relation that is consistent with the Met Office’s cirrus microphysics scheme in its weather and climate models. The area– dimension relationship is shown to be generally consistent with an observed area–size power law. The budding rosettes and rosette aggregates have maximum dimensions between about 10 μm and 1 cm. To test the budding rosette and rosette aggregate model, data from NASA’s IMPACTS campaign are used. The IMPACTS data consists of four frontal snowstorm cases that achieved the best co-incident measurements between the in-situ and remote sensing aircraft. We show that the rosette aggregate model predicts the time series of radar reflectivity data generally well for all four cases.
Anthony J. Baran, Andrew J. Heymsfield, Antigoni Kleanthous, Christopher D. Westbrook, Timo Betcke, David P. Hewett, Paul Barrett, Stuart Fox
IGARSS7
2019 SATurn: a modular bioinformatics framework for the design of robust maintainable web-based and standalone applications
David R. Damerell, Claire Strain-Damerell, Sefa Garsot, Stephen P. Joyce, Paul Barrett, Brian D. Marsden
Bioinform.5
1989 The Smart Siskette - A Universal User Token and Personal Crypto-Engine
Paul Barrett, Raymund Eisele
CRYPTO1
1986 Implementing the Rivest Shamir and Adleman Public Key Encryption Algorithm on a Standard Digital Signal Processor
Paul Barrett
CRYPTO1