Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Nicholas McDonald

dblp:313/2866 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation › natural phenomena simulation
erosion simulation
1.012026
Stochastic geomorphological transport for terrain erosion simulation · ACM Trans. Graph. 2026
Computer animation and physical simulation › natural phenomena simulation
terrain simulation
1.012026
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
YearPublicationVenuePosition
2026 Stochastic geomorphological transport for terrain erosion simulation
abstract
Mountainous 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