JavaScript is Disabled
Your browser's JavaScript functionality is disabled. It has to be enabled to use this function of ConfTool.
Here you can find information on how to enable JavaScript
If you have any problems, please contact the organizers at laccei2026@conftool.pro.

Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:31:28am America, Santiago

Daily Overview

Session

35D: Engineering Education
Virtual location: VIRTUAL: Agora Meetings

Presentation 4

2:44pm - 2:52pm

The association between mathematics-related academic programs and research performance in Peruvian universities (2019–2024)

Edgar Marin-Ballon¹, Antonio Linares Flores-Castro², Miriam Flores-Castro³, Fiorella Romero-Gomez²

1: Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa, Perú; 2: Facultad de Ciencias e Ingenierías Físicas y Formales, Universidad Católica de Santa María, Arequipa, Perú; 3: Escuela Profesional de Comunicación Social, Universidad Católica de Santa María, Arequipa, Perú

This study examines research output in mathematics across licensed Peruvian universities using a bibliometric approach based on Scopus and SciVal data for the period 2019–2024. The objective was to analyze institutional differences in research productivity and citation impact, with particular emphasis on the presence of formal mathematics-related academic programs. Four bibliometric indicators were considered: scholarly output, total citations, citations per publication, and field-weighted citation impact. The analysis included 80 universities with measurable production in the mathematics subject area, and non-parametric statistical methods were applied due to the highly skewed distribution of the indicators. The results show a strong concentration of scholarly output in a limited number of institutions. Statistically significant differences in productivity were identified between universities with and without academic programs in mathematics and statistics, indicating that the existence of specialized programs is associated with higher research output. In contrast, no significant differences were observed for citation-based indicators, suggesting that increased productivity does not necessarily translate into greater citation impact. These findings underscore the role of institutional organization in shaping mathematical research productivity and highlight the need for contextualized interpretation of bibliometric indicators.