Editorial of Number 1 Volume 13 of Latin-American Journal of Computing

With the publication of Volume 13, Number 1, the Latin-American Journal of Computing (LAJC) continues to consolidate its role as a regional forum for rigorous and relevant research in computing. This issue brings together eight articles that reflect the evolving landscape of the computing discipline, where methodological soundness, practical relevance, and contextual awareness converge. The works included in this volume address a broad range of problems that arise at the intersection of computation, data, and real-world applications. Several contributions focus on software-centric solutions, proposing architectures, tools, and evaluation approaches aimed at improving system performance, reliability, and usability. These studies are grounded in concrete use cases, offering insights that are directly transferable to professional and academic settings. Another set of articles emphasizes data processing and intelligent analysis, illustrating how computational techniques can be applied to extract meaning from complex data sources. Through experimental studies and applied methodologies, these contributions highlight the growing importance of analytics and intelligent systems in supporting decision-making across diverse domains. This issue also features research related to infrastructure, security, and technological adoption, where authors examine current challenges and propose solutions that respond to the demands of modern digital environments. These works are particularly relevant in contexts where scalability, trust, and efficient resource management are critical concerns. Taken together, the articles in this issue illustrate not only technical progress, but also a sustained effort to align computing research with societal, institutional, and regional needs. The diversity of perspectives and approaches presented here underscores the dynamic nature of the field and the value of interdisciplinary and context-aware research. We would like to express our sincere appreciation to the authors for their contributions and to the reviewers for their careful and constructive evaluations, which are fundamental to maintaining the scientific quality of the journal. We invite readers to engage with the articles in this issue and trust that they will find them informative and inspiring for future research directions.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-06
DOI
https://doi.org/10.5281/zenodo.18039694
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
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article

Editorial of Number 1 Volume 13 of Latin-American Journal of Computing

Gabriela Janneth Pallo Suntaxi
Zenodo (CERN European Organization for Nuclear Research)
Big Data and Digital Economy
article

Editorial of Number 1 Volume 13 of Latin-American Journal of Computing

Gabriela Janneth Pallo Suntaxi
article en

Abstract

With the publication of Volume 13, Number 1, the Latin-American Journal of Computing (LAJC) continues to consolidate its role as a regional forum for rigorous and relevant research in computing. This issue brings together eight articles that reflect the evolving landscape of the computing discipline, where methodological soundness, practical relevance, and contextual awareness converge. The works included in this volume address a broad range of problems that arise at the intersection of computation, data, and real-world applications. Several contributions focus on software-centric solutions, proposing architectures, tools, and evaluation approaches aimed at improving system performance, reliability, and usability. These studies are grounded in concrete use cases, offering insights that are directly transferable to professional and academic settings. Another set of articles emphasizes data processing and intelligent analysis, illustrating how computational techniques can be applied to extract meaning from complex data sources. Through experimental studies and applied methodologies, these contributions highlight the growing importance of analytics and intelligent systems in supporting decision-making across diverse domains. This issue also features research related to infrastructure, security, and technological adoption, where authors examine current challenges and propose solutions that respond to the demands of modern digital environments. These works are particularly relevant in contexts where scalability, trust, and efficient resource management are critical concerns. Taken together, the articles in this issue illustrate not only technical progress, but also a sustained effort to align computing research with societal, institutional, and regional needs. The diversity of perspectives and approaches presented here underscores the dynamic nature of the field and the value of interdisciplinary and context-aware research. We would like to express our sincere appreciation to the authors for their contributions and to the reviewers for their careful and constructive evaluations, which are fundamental to maintaining the scientific quality of the journal. We invite readers to engage with the articles in this issue and trust that they will find them informative and inspiring for future research directions.

Zenodo (CERN European Organization for Nuclear Research)
National Polytechnic School (EC)
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Big Data and Digital Economy
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