%0 Generic %1 salinas2019reviewernet %A Salinas, Mario %A Giorgi, Daniela %A Cignoni, Paolo %D 2019 %K asd %T ReviewerNet: Visualizing Citation and Authorship Relations for Finding Reviewers %U http://arxiv.org/abs/1903.08004 %X 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 relevant and pertinent papers; ReviewerNet supports the construction of such set of papers, by visualizing and exploring a literature citation network. Then, the system helps to select reviewers that are both well distributed in the scientific community and that do not have any conflict-of-interest, by visualising the careers and co-authorship relations of candidate reviewers. The system is publicly available, and it has been evaluated by a set of experienced researchers in the field of Computer Graphics.

@misc{salinas2019reviewernet, 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 relevant and pertinent papers; ReviewerNet supports the construction of such set of papers, by visualizing and exploring a literature citation network. Then, the system helps to select reviewers that are both well distributed in the scientific community and that do not have any conflict-of-interest, by visualising the careers and co-authorship relations of candidate reviewers. The system is publicly available, and it has been evaluated by a set of experienced researchers in the field of Computer Graphics.}, added-at = {2019-05-17T15:42:08.000+0200}, author = {Salinas, Mario and Giorgi, Daniela and Cignoni, Paolo}, biburl = {https://www.bibsonomy.org/bibtex/2d0cc18fef52ac230c9a9c4598592af9d/-1}, description = {[1903.08004] ReviewerNet: Visualizing Citation and Authorship Relations for Finding Reviewers}, interhash = {8866fa81ce7751f84ea59b92577a409d}, intrahash = {d0cc18fef52ac230c9a9c4598592af9d}, keywords = {asd}, note = {cite arxiv:1903.08004Comment: 11 pages, 5 figures}, timestamp = {2019-05-17T15:42:08.000+0200}, title = {ReviewerNet: Visualizing Citation and Authorship Relations for Finding Reviewers}, url = {http://arxiv.org/abs/1903.08004}, year = 2019 }