This journal focuses on computational approaches to music analysis, encompassing the creation and utilization of large-scale datasets, the development of algorithms for music information retrieval tasks, and the exploration of musical data across various modalities and historical periods. Research includes audio processing, symbolic music analysis, functional sound analysis, and the study of AI-generated music, with an emphasis on quantitative methods and machine learning applications.
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Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
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.
Library and Information SciencesQ1
Linguistics and LanguageQ1
MuseologyQ1
MusicQ1
Electrical and Electronic EngineeringQ2
Subject Classification
Web of Science Categories
Music
Scopus Categories
MuseologyLibrary and Information SciencesMusicElectrical and Electronic EngineeringLinguistics and Language
Research Topics (OpenAlex)
Music and Audio ProcessingMusic Technology and Sound StudiesNeuroscience and Music PerceptionSpeech and Audio ProcessingDiverse Musicological StudiesSpeech Recognition and SynthesisMusic History and CultureAnimal Vocal Communication and BehaviorDigital Humanities and ScholarshipNatural Language Processing Techniques