Demo Data from VLDB 2026 / reviewers in the wild / expert
Robert J. Tetley
dblp:261/3948
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-3322-6271ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering
computational geometry |
0.4 | 1 | 2020 | EpiGraph: an open-source platform to quantify epithelial organization · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
polygon distribution analysis · 0.4graph theory · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | EpiGraph: an open-source platform to quantify epithelial organizationabstractSUMMARY: Here we present EpiGraph, an image analysis tool that quantifies epithelial organization. Our method combines computational geometry and graph theory to measure the degree of order of any packed tissue. EpiGraph goes beyond the traditional polygon distribution analysis, capturing other organizational traits that improve the characterization of epithelia. EpiGraph can objectively compare the rearrangements of epithelial cells during development and homeostasis to quantify how the global ensemble is affected. Importantly, it has been implemented in the open-access platform Fiji. This makes EpiGraph very user friendly, with no programming skills required. AVAILABILITY AND IMPLEMENTATION: EpiGraph is available at https://imagej.net/EpiGraph and the code is accessible (https://github.com/ComplexOrganizationOfLivingMatter/Epigraph) under GPLv3 license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Pablo Vicente-Munuera, Pedro Gómez-Gálvez, Robert J. Tetley, Cristina Forja, Antonio Tagua, Marta Letrán, Melda Tozluoglu, Yanlan Mao, Luis M. Escudero |
Bioinform. | 3 |