ReviewerNet: A visualization platform for the selection of academic reviewers

Computer & Graphics, Volume 89, page 77--87 - June 2020

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

Images and movies


BibTex references

  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          = ""

Other publications in the database

» Mario Salinas
» Daniela Giorgi
» Federico Ponchio
» Paolo Cignoni