Demo Data from SIGIR 2026 / reviewers in the wild / expert
Amaury Johnen
dblp:122/5350
· DBLP profile ↗
2ranked-venue papers
1as 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 · 2 · 1 first-author
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
2 papers |
Geometric modeling and processing · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › mesh generation
hexahedral meshing |
0.3 | 1 | 2018 | Identifying combinations of tetrahedra into hexahedra: A vertex based strategy · Comput. Aided Des. 2018 |
Geometric modeling and processing
mesh generation |
0.3 | 1 | 2018 | Identifying combinations of tetrahedra into hexahedra: A vertex based strategy · Comput. Aided Des. 2018 |
Computational science and engineering
finite element analysis |
0.1 | 1 | 2018 | Efficient computation of the minimum of shape quality measures on curvilinear finite elements · Comput. Aided Des. 2018 |
Geometric modeling and processing › mesh processing
tetrahedral mesh processing |
0.1 | 1 | 2018 | Identifying combinations of tetrahedra into hexahedra: A vertex based strategy · Comput. Aided Des. 2018 |
Methods — techniques the papers use, named apart from their topics
numerical optimization · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Efficient computation of the minimum of shape quality measures on curvilinear finite elements
Amaury Johnen, Christophe Geuzaine, Thomas Toulorge, Jean-François Remacle |
Comput. Aided Des. | 1 |
| 2018 | Identifying combinations of tetrahedra into hexahedra: A vertex based strategyabstractIndirect hex-dominant meshing methods rely on the detection of adjacent tetrahedra that may be combined to form hexahedra. In this paper we introduce an algorithm that performs this identification and builds the set H of all possible combinations of tetrahedral elements of an input mesh T into hexahedra. All identified hexahedral elements are valid for engineering analysis. The new method first computes all combinations of eight vertices whose connectivity in T matches the connectivity of a hexahedron. The subset of tetrahedra of T triangulating each potential hexahedron is then determined. Quality checks allow to early discard poor quality hexahedra and to dramatically improve the efficiency of the method. Each potential hexahedron is computed only once. Around 3 millions potential hexahedra are computed in 10 seconds on a laptop. We finally demonstrate that the set of potential hexes H built by our algorithm is significantly larger than those built using predefined patterns of subdivision of a hexahedron in tetrahedral elements. Jeanne Pellerin, Amaury Johnen, Kilian Verhetsel, Jean-François Remacle |
Comput. Aided Des. | 2 |