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Nicolas Gayton

dblp:96/10532 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 4

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.

Computer graphics and multimedia
3 papers
Geometric modeling and processing · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › computer-aided design
tolerance analysis
0.422015
Impact of a behavior model linearization strategy on the tolerance analysis of over-constrained mechanisms · Comput. Aided Des. 2015
A statistical tolerance analysis approach for over-constrained mechanism based on optimization and Monte Carlo simulation · Comput. Aided Des. 2012

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

worst-case analysis · 0.3probabilistic analysis · 0.3behavior model linearization · 0.2optimization · 0.1monte carlo simulation · 0.1
YearPublicationVenuePosition
2018 Tolerance synthesis of fastened metal-composite joints based on probabilistic and worst-case approaches
Ramzi Askri, Christophe Bois, Hervé Wargnier, Nicolas Gayton
Comput. Aided Des.4
2015 Impact of a behavior model linearization strategy on the tolerance analysis of over-constrained mechanisms
A. Dumas, Jean-Yves Dantan, Nicolas Gayton
Comput. Aided Des.3
2013 Statistical tolerance analysis of over-constrained mechanisms with gaps using system reliability methods
Paul Beaucaire, Nicolas Gayton, Emmanuel Duc, Jean-Yves Dantan
Comput. Aided Des.2
2012 A statistical tolerance analysis approach for over-constrained mechanism based on optimization and Monte Carlo simulation
Ahmed-Jawad Qureshi, Jean-Yves Dantan, Vahid Sabri, Paul Beaucaire, Nicolas Gayton
Comput. Aided Des.5