Demo Data from EDBT 2026 / reviewers in the wild / expert
Aris Papadopoulos
dblp:144/2791
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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.
| Theoretical computer science
1 paper |
Computational complexity · 50% Graph algorithms and graph theory · 33% Automated reasoning and model checking · 17% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Graph algorithms and graph theory › graph classes › sparse graphs
bounded degree graphs |
0.7 | 1 | 2023 | Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023 |
Computational complexity › complexity of reasoning
first-order model checking |
0.7 | 1 | 2023 | Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023 |
Computational complexity › parameterized complexity
fixed-parameter tractability |
0.7 | 1 | 2023 | Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023 |
Graph algorithms and graph theory
graph classes |
0.7 | 1 | 2023 | Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023 |
Automated reasoning and model checking
model checking |
0.7 | 1 | 2023 | Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023 |
Computational complexity
parameterized complexity |
0.7 | 1 | 2023 | Monadic NIP in Monotone Classes of Relational Structures · ICALP 2023 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Monadic NIP in Monotone Classes of Relational StructuresabstractWe study the first-order (FO) model checking problem of dense graphs, namely those which have FO interpretations in (or are FO transductions of) some sparse graph classes. We give a structural characterization of the graph classes which are FO interpretable in graphs of bounded degree. This characterization allows us to efficiently compute such an FO interpretation for an input graph. As a consequence, we obtain an FPT algorithm for successor-invariant FO model checking of any graph class which is FO interpretable in (or an FO transduction of) a graph class of bounded degree. The approach we use to obtain these results may also be of independent interest. Samuel Braunfeld, Anuj Dawar, Ioannis Eleftheriadis, Aris Papadopoulos |
ICALP | 4 |