Advanced Journal Analysis Tool: An open instrument for editorial self-assessment and external evaluation

Abstract

This editorial introduces a specialized web application (Advanced Journal Analysis Tool) for comprehensive bibliometric analysis of scholar journals to address limitations in accessing commercial scientific databases. This program designed by the team of the CTA journal provides an open and free alternative for analyzing journal performance using Crossref and OpenAlex APIs through an intuitive Streamlit-based interface. Its core innovation lies in implementing a three-tier analytical framework that examines relationships between referenced sources (A), target journal publications (B), and citing works (C), enabling complete tracking of scientific communication flows. The application features sophisticated functionality for calculating diverse bibliometric indicators including traditional metrics (such as h-index and JSCR) along with advanced statistics such as citation velocity, collaboration patterns, and thematic diversity indexes. Technical implementation incorporates multithreaded data processing, adaptive rate limiting, and robust caching mechanisms to ensure reliable operation with large datasets. The interface supports multiple languages and offers interactive visualizations, while export capabilities facilitate further data analysis. Designed for researchers, journal editors, and science administrators, the program enables monitoring of journal effectiveness, comparative analysis across publications, identification of research trends, and assessment of international impact. Its development represents a significant contribution to open science initiatives by democratizing access to professional bibliometric analysis and enhancing transparency in research evaluation methodologies. The software is designed as a practical instrument for supporting evidence-based decisions in the realms of editorial policy and scientific management. It is also intended to promote reproducibility in bibliometric studies through its open architecture and standardized analytical approaches.