ReviewerNet: A visualization platform for the selection of academic reviewers
We propose ReviewerNet, an online, interactive visualization system aimed to improve the reviewer selection process in the academic domain. Given a paper submitted for publication, we assume that good candidate reviewers can be chosen among the authors of a small set of pertinent papers; ReviewerNet supports the construction of such set of papers, by visualizing and exploring a literature citation network. The system helps journal editors and Program Committee members to select reviewers that do not have any conflict-of-interest and are representative of different research groups, by visualising the careers and co-authorship relations of candidate reviewers. The system is publicly available, and is demonstrated in the field of Computer Graphics.
The system is online at Reviewernet.orgImages and movies
![insertion_biblio.png [300Ko]](/Publications/2020/SGPC20/insertion_biblio.png){kind=small}
![teaser_colormap1.png [191Ko]](/Publications/2020/SGPC20/teaser_colormap1.png){kind=small}
![timeline_cropped.png [104Ko]](/Publications/2020/SGPC20/timeline_cropped.png)
BibTex references
@Article\{SGPC20,
author = "Salinas, Mario and Giorgi, Daniela and Ponchio, Federico and Cignoni, Paolo",
title = "ReviewerNet: A visualization platform for the selection of academic reviewers",
journal = "Computer \& Graphics",
volume = "89",
pages = "77--87",
month = "June",
year = "2020",
keywords = "Visualization platform, Scholarly data",
url = "http://vcg.isti.cnr.it/Publications/2020/SGPC20"
}