A Bibliometric Analysis of a University-Based Computer Science Journal
DOI:
https://doi.org/10.53591/iti.v18i25.3172Keywords:
Bibliometric analysis, OJS, Scientific visibility, Citation metrics, Computer science publishingAbstract
Context: Evaluating scientific output and visibility in regional journals is often difficult due to limited and inconsistent metadata, especially in those managed through Open Journal Systems (OJS). Objective: This study aims to analyze the scientific production, collaboration patterns, and citation trends of the journal Informática y Sistemas, published by Universidad Técnica de Manabí (UTM). Method: The methodology combines traditional bibliometric analysis with Natural Language Processing (NLP) to classify thematic areas more accurately. Data was collected from the OJS platform and citation information from Dimensions.ai Results: Between 2017 and 2025, the journal published 109 articles, with an average of 3.16 authors per paper and a Collaboration Index of 2.84. Despite these numbers, the journal still faces challenges in reaching international visibility, as shown by an average of only 0.16 citations per article. Conclusions: These insights can help the editorial team make better strategic decisions to improve the journal’s impact and use digital tools more effectively for research management.
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