An Automated Approach to Forming a Jury of Student Research Competitions Based on Scientometric and Altmetric Indicators
Year: 2025
Type: conference-paper
Abstract: A critical aspect of organizing competitions is ensuring the objectivity and professionalism of evaluations, which depend on the composition of the jury. This article addresses the challenge of automating the selection of jury members for student research competitions. The primary focus is on using scientometric and altmetric indicators for a comprehensive evaluation of candidates. The authors propose integrating metrics for the objective selection of experts, including the h-index and other measures to assess academic productivity, altmetric indicators to analyze research impact in digital media, and online presence evaluations, parameters that describe scientific interactions of potential jury members in the scientific community. For each evaluation criterion, weighting factors are introduced, and expert selection is performed using a preference-ranking approach that determines similarity to the ideal solution (TOPSIS). Furthermore, the study reviews existing bibliometric platforms that provide scientometric and altmetric indicators. An essential feature of the proposed approach is the automation of data acquisition through APIs, ensuring real-time access to scientific repositories, bibliographic databases, and social media sources.
Language: English
Subfield: Library and Information Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W7212371589