SCIESCOPUSQ1
Journal of Big Data
SPRINGERNATURE, Switzerland
Journal of Big Data is an academic journal published by SPRINGERNATURE (Switzerland). Identifiers: eISSN 2196-1115. Indexed in SCIE, SCOPUS. Metrics: JIF 6.4, CiteScore 22.3, SJR 1.979, SNIP 4.17. Subject areas: COMPUTER SCIENCE, COMPUTER SCIENCE, THEORY & METHODS, THEORY & METHODS. tlooto lists 1,907 papers from this journal.
CiteScore
22.30
Scopus citation metric
SJR
1.979
SCImago rank
SNIP
4.17
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- -
- eISSN
- 2196-1115
- Abbreviation
- J BIG DATA-GER
- Publisher
- SPRINGERNATURE
- Country
- Switzerland
Web of Science categories
SCIECOMPUTER SCIENCE, THEORY & METHODS
Scopus ASJC categories
1705170817101802 Information Systems and Management
Keywords
Computer Science, Theory & Methods
Papers in this journal
Recent papers
- A new paradigm of time series forecasting with attributes learning
2026
- An AI-driven multimodal developmental disability detection and intervention framework using enhanced speech and behavioral analysis with BioNeuroFusionNet classification
2026
- A secure and high-accuracy indoor positioning system using deep temporal fusion transformer and Galois field encryption
2026
- Enhancing AQI forecasting accuracy: integrating ARIMA, ANN, and regression techniques with the development of HM4AQI web application
2026 · 1 citations
- A patent push method and system based on the product life cycle multi-dimensional classification
2026
Most cited papers
- A survey on Image Data Augmentation for Deep Learning
2019 · 11,651 citations
- Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 · 6,599 citations
- A survey of transfer learning
2016 · 3,422 citations
- Survey on deep learning with class imbalance
2019 · 2,713 citations
- Deep learning applications and challenges in big data analytics
2015 · 2,351 citations