This journal focuses on the computational and software aspects of big science research, particularly in high-energy physics. It covers topics such as machine learning for particle track reconstruction and event classification, data management and storage systems for large datasets, and the development of software frameworks for data processing and analysis in particle colliders and other scientific facilities. The scope also includes advancements in hardware-accelerated computing, heterogeneous programming models, and statistical analysis tools for experimental data.
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Publication & Citation Trend
Articles published
Times cited
2018
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2020
2021
2022
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2025
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.
Computer Science (miscellaneous)Q1
Nuclear and High Energy PhysicsQ1
SoftwareQ1
Subject Classification
Scopus Categories
Nuclear and High Energy PhysicsComputer Science (miscellaneous)Software
Research Topics (OpenAlex)
Particle physics theoretical and experimental studiesParticle Detector Development and PerformanceDistributed and Parallel Computing SystemsAdvanced Data Storage TechnologiesScientific Computing and Data ManagementHigh-Energy Particle Collisions ResearchComputational Physics and Python ApplicationsParallel Computing and Optimization TechniquesRadiation Detection and Scintillator TechnologiesResearch Data Management Practices