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Demo Data from EDBT 2026 / reviewers in the wild / expert

Emile Joubert

dblp:350/4509 · DBLP profile ↗
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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

Artificial intelligence and machine learning · 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.

Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 100%
Theoretical computer science
1 paper
Graph algorithms and graph theory · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › data generation
synthetic data generation		 0.712023
Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation · ICLR 2023
Graph algorithms and graph theory
random graph generation		 0.712023
Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation · ICLR 2023

Methods — techniques the papers use, named apart from their topics

random graph model · 1.3
YearPublicationVenuePosition
2023 Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
Georgi Ganev, Emile Joubert, Rees Davison, Olivier Van Acker, Luke Robinson
 ICLR3