Demo Data from SIGIR 2026 / reviewers in the wild / expert
Piotr Baniukiewicz
dblp:223/8433
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
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 · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioimage informatics
cellular image analysis |
0.3 | 1 | 2018 | QuimP: analyzing transmembrane signalling in highly deformable cells · Bioinform. 2018 |
Bioinformatics and computational biology › biological imaging
live-cell imaging |
0.1 | 1 | 2018 | QuimP: analyzing transmembrane signalling in highly deformable cells · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
fluorescence time-series analysis · 0.3boundary tracking · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | QuimP: analyzing transmembrane signalling in highly deformable cellsabstractSummary: Transmembrane signalling plays important physiological roles, with G protein-coupled cell surface receptors being particularly important therapeutic targets. Fluorescent proteins are widely used to study signalling, but analyses of image time series can be challenging, in particular when cells change shape. QuimP software semi-automatically tracks spatio-temporal patterns of fluorescence at the cell membrane at high spatial resolution. This makes it a unique tool for studying transmembrane signalling, particularly during cell migration in immune or cancer cells for example. Availability and implementation: QuimP (http://warwick.ac.uk/quimp) is a set of Java plugins for Fiji/ImageJ (http://fiji.sc) installable through the Fiji Updater (http://warwick.ac.uk/quimp/wiki-pages/installation). It is compatible with Mac, Windows and Unix operating systems, requiring version >1.45 of ImageJ and Java 8. QuimP is released as open source (https://github.com/CellDynamics/QuimP) under an academic licence. Supplementary information: Supplementary data are available at Bioinformatics online. Piotr Baniukiewicz, Sharon Collier, Till Bretschneider |
Bioinform. | 1 |