Demo Data from SIGIR 2026 / reviewers in the wild / expert
Nicolas Barral
dblp:188/6317
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0003-2079-5819ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 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 |
Computational science and engineering · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering › numerical analysis
adaptive mesh refinement |
0.6 | 1 | 2022 | Goal-Oriented Error Estimation and Mesh Adaptation for Tracer Transport Modelling · Comput. Aided Des. 2022 |
Computational science and engineering
numerical simulation |
0.6 | 1 | 2022 | Goal-Oriented Error Estimation and Mesh Adaptation for Tracer Transport Modelling · Comput. Aided Des. 2022 |
Methods — techniques the papers use, named apart from their topics
mesh adaptation · 0.6goal-oriented error estimation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Goal-Oriented Error Estimation and Mesh Adaptation for Tracer Transport Modelling
Joseph G. Wallwork, Nicolas Barral, David A. Ham, Matthew D. Piggott |
Comput. Aided Des. | 2 |