Abstract 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.

中文翻译：

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ReviewerNet：学术审稿人选拔可视化平台

摘要 我们提出了 ReviewerNet，这是一个在线交互式可视化系统，旨在改进学术领域的审稿人选择过程。给定一篇提交发表的论文，我们假设可以从一小组相关论文的作者中选出优秀的候选审稿人；ReviewerNet 通过可视化和探索文献引用网络来支持构建此类论文集。该系统通过可视化候选审稿人的职业和合着关系，帮助期刊编辑和程序委员会成员选择没有任何利益冲突并代表不同研究群体的审稿人。该系统是公开可用的，并在计算机图形学领域进行了演示。