Data Science and Engineering

Aims & Scope✦ Inferred from recent articles

This journal focuses on data management and engineering, particularly concerning database systems, data analysis, and efficient data processing. It addresses challenges in areas such as buffer management, learned indexes, graph representation learning, and anomaly detection in complex networks. The scope also includes advancements in data augmentation, cross-modal retrieval, recommender systems, and spatial-temporal data mining, with an emphasis on developing novel frameworks and algorithms to improve performance, efficiency, and understanding.

AI-summarised from recent articles · verify on publisher page →

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

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.

Subject Classification