The formation method of recommendations in the process of scientific peer review of mathematical papers

Abstract

Copyright © 2020 for this paper by its authors. A method for the automation of the scientific peer review workflow in a mathematical journal has been developed. For this, a database of experts in various areas of mathematics has been created in the journal’s information system. For each expert, using automatic search methods for citation databases, a profile has been generated that includes various classification codes, in particular, Mathematics Subject Classification 2010 (MSC 2010). A system of coefficients has been developed that takes into account the professional interests of experts. Also, indicators of their workload in the review process are taken into account. The first step in forming recommendations for the examination of an article is to determine the scope of the research conducted in it. For this, the codes of mathematical subject classification presented in this article are distinguished. Further, according to these codes, a list of possible experts is formed. The developed method is implemented as plugins of Open Journal Systems (OJS) and tested in the information system of the scientific journal Lobachevskii Journal of Mathematics (https://ljm.kpfu.ru).