Demo Data from VLDB 2026 / reviewers in the wild / expert
Gianluca Tomasello
dblp:276/0784
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · unresolved
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 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › molecular informatics
molecular visualization |
0.4 | 1 | 2020 | The Protein Imager: a full-featured online molecular viewer interface with server-side HQ-rendering capabilities · Bioinform. 2020 |
Bioinformatics and computational biology
structural biology |
0.4 | 1 | 2020 | The Protein Imager: a full-featured online molecular viewer interface with server-side HQ-rendering capabilities · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
server-side rendering · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | The Protein Imager: a full-featured online molecular viewer interface with server-side HQ-rendering capabilitiesabstractSUMMARY: Molecular viewers' long learning curve is hindering researchers in approaching the field of structural biology for the first time. Herein, we present 'The Protein Imager', a lightweight, powerful and easy-to-use interface as a next-gen online molecular viewer. Furthermore, the interface is linked to an automated server-side rendering system able to generate publication-quality molecular illustrations. The Protein Imager interface has been designed for easy usage for beginners and experts in the field alike. The interface allows the preparation of very complex molecular views maintaining a high level of responsiveness even on mobile devices. AVAILABILITY AND IMPLEMENTATION: The Protein Imager interface is freely available online at https://3dproteinimaging.com/protein-imager. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Gianluca Tomasello, Ilaria Armenia, Gianluca Molla |
Bioinform. | 1 |