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We propose ReviewerNet, an online, interactive visualization system aimed toimprove the reviewer selection process in the academic domain. Given a papersubmitted for publication, we assume that good candidate reviewers can bechosen among the authors of a small set of relevant and pertinent papers;ReviewerNet supports the construction of such set of papers, by visualizing andexploring a literature citation network. Then, the system helps to selectreviewers that are both well distributed in the scientific community and thatdo not have any conflict-of-interest, by visualising the careers andco-authorship relations of candidate reviewers. The system is publiclyavailable, and it has been evaluated by a set of experienced researchers in thefield of Computer Graphics.

ReviewerNet: Visualizing Citation and Authorship Relations for Finding Reviewers