ReviewerNet: A visualization platform for the selection of academic reviewers
Salinas M., Giorgi D., Ponchio F., Cignoni P.
Scholarly data Visualization platform Computer Graphics and Computer-Aided Design Human-Computer Interaction General Engineering
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.
Source: Computers & graphics 89 (2020): 77–87. doi:10.1016/j.cag.2020.04.006
Publisher: Pergamon Press., New York,, Stati Uniti d'America
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@article{oai:it.cnr:prodotti:424578,
title = {ReviewerNet: A visualization platform for the selection of academic reviewers},
author = {Salinas M. and Giorgi D. and Ponchio F. and Cignoni P.},
publisher = {Pergamon Press., New York,, Stati Uniti d'America},
doi = {10.1016/j.cag.2020.04.006},
journal = {Computers \& graphics},
volume = {89},
pages = {77–87},
year = {2020}
}
0000-0002-2686-8567