VLDB 2026 Research / reviewers in the wild / expert
Corey Cox
dblp:417/5459
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › knowledge representation in biology
biomedical knowledge graph |
0.9 | 1 | 2025 | monarchr: an R package for querying biomedical knowledge graphs · Bioinform. 2025 |
Methods — techniques the papers use, named apart from their topics
r package · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | monarchr: an R package for querying biomedical knowledge graphsabstractSUMMARY: Biomedical knowledge graphs (KGs) aggregate and provide a wealth of information, linking genes and their variants, diseases, phenotypes, and much more. While these data are available in raw and API-hosted form, to date, functionality for working with KGs in the R programming language has been limited. We introduce monarchr, a package for querying and manipulating KG data. Support for the expansive Monarch Initiative KG is built in, and monarchr can accommodate any KG in the Knowledge Graph eXchange (KGX) format. This tidy-inspired interface offers researchers an intuitive, iterative approach to querying and visualizing KG data. AVAILABILITY AND IMPLEMENTATION: Source code, documentation, and installation instructions are available at https://github.com/monarch-initiative/monarchr. Shawn T. O'Neil, Brian M. Schilder, Kevin Schaper, Corey Cox, Daniel R. Korn, Sarah Gehrke, Chris Mungall, Melissa A. Haendel |
Bioinform. | 4 |