This journal publishes research on the application of advanced computational techniques and instrumentation for astronomical data analysis. Topics include the development and implementation of machine learning algorithms, Bayesian inference pipelines, and GPU acceleration for processing large datasets from exoplanet atmosphere studies, gravitational-wave observatories, and galaxy surveys. The scope also encompasses novel methods for data calibration, visualization, sonification, and the characterization of astronomical objects and phenomena, such as blazars, radio galaxies, and cosmic web environments.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Earth and Planetary Sciences (miscellaneous)Q1
Engineering (miscellaneous)Q1
Artificial IntelligenceQ2
Astronomy and AstrophysicsQ2
Subject Classification
Web of Science Categories
Astronomy & Astrophysics
Scopus Categories
Earth and Planetary Sciences (miscellaneous)Engineering (miscellaneous)Artificial IntelligenceAstronomy and Astrophysics
Research Topics (OpenAlex)
Stellar, planetary, and galactic studiesAstronomy and Astrophysical ResearchRadio Astronomy Observations and TechnologyGalaxies: Formation, Evolution, PhenomenaAstro and Planetary ScienceGamma-ray bursts and supernovaeAdaptive optics and wavefront sensingAstronomical Observations and InstrumentationSolar and Space Plasma DynamicsAstrophysics and Cosmic Phenomena