Demo Data from EDBT 2026 / reviewers in the wild / expert
Nicholas McDonald
dblp:313/2866
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-8678-9625ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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.
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › natural phenomena simulation
erosion simulation |
1.0 | 1 | 2026 | Stochastic geomorphological transport for terrain erosion simulation · ACM Trans. Graph. 2026 |
Computer animation and physical simulation › natural phenomena simulation
terrain simulation |
1.0 | 1 | 2026 | Stochastic geomorphological transport for terrain erosion simulation · ACM Trans. Graph. 2026 |
Methods — techniques the papers use, named apart from their topics
stochastic particle method · 2.0parallel simulation · 2.0momentum conservation · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Stochastic geomorphological transport for terrain erosion simulationabstractMountainous terrains evolve over geological timescales through erosion processes driven by the complex interplay of transported quantities such as water, sediment, and rockfall. A key challenge in erosion modeling is the simultaneous simulation of transport and erosive processes, which differ in temporal scales by several orders of magnitude. We address this challenge with a novel, parallel, stochastic particle-based method capable of simulating transport over geological timescales. Our approach relaxes the strong assumptions on velocity required by prior works ( e.g. , based on the Stream Power Law), enabling a new erosion model grounded in a more general form of momentum conservation. We demonstrate that our scheme accurately solves the underlying conservation laws and avoids artifacts common in previous works. Furthermore, we show that our new erosion model captures multiscale geomorphological features, producing coherent basin structures and dynamic phenomena such as braided rivers, meanders, and deltas. Nicholas McDonald, Guillaume Cordonnier |
ACM Trans. Graph. | 1 |