VLDB 2026 Research / reviewers in the wild / expert
Patrick K. Kimes
dblp:154/6712
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0001-6819-9077ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 · 67% Computational science and engineering · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering
benchmark framework |
0.4 | 1 | 2019 | Reproducible and replicable comparisons using SummarizedBenchmark · Bioinform. 2019 |
Bioinformatics and computational biology
bioinformatics infrastructure |
0.4 | 1 | 2019 | Reproducible and replicable comparisons using SummarizedBenchmark · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
reproducible workflow design · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Reproducible and replicable comparisons using SummarizedBenchmarkabstractSummary: Benchmark studies are widely used to compare and evaluate tools developed for answering various biological questions. Despite the popularity of these comparisons, the implementation is often ad hoc, with little consistency across studies. To address this problem, we developed SummarizedBenchmark, an R package and framework for organizing and structuring benchmark comparisons. SummarizedBenchmark defines a general grammar for benchmarking and allows for easier setup and execution of benchmark comparisons, while improving the reproducibility and replicability of such comparisons. We demonstrate the wide applicability of our framework using four examples from different applications. Availability and implementation: SummarizedBenchmark is an R package available through Bioconductor (http://bioconductor.org/packages/SummarizedBenchmark). Supplementary information: Supplementary data are available at Bioinformatics online. Patrick K. Kimes |
Bioinform. | 1 |