SCOPUS
Studies in Big Data
Springer Nature, Germany
Studies in Big Data is an academic journal published by Springer Nature (Germany). Identifiers: ISSN 2197-6503, eISSN 2197-6511. Indexed in SCOPUS. Metrics: CiteScore 1.8, SJR 0.150, SNIP 0.17. tlooto lists 543 papers from this journal.
CiteScore
1.80
Scopus citation metric
SJR
0.150
SCImago rank
SNIP
0.17
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2197-6503
- eISSN
- 2197-6511
- Abbreviation
- -
- Publisher
- Springer Nature
- Country
- Germany
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
170217062201 Engineering (miscellaneous)2207 Control and Systems Engineering
Papers in this journal
Recent papers
- Integrating Big Data and IoT for Enhanced Decision-Making Systems in Business: Volume 1
2026
- Integrating Big Data and IoT for Enhanced Decision-Making Systems in Business: Volume 2
2026
- Applied Quantum Computing and Cryptography
2025 · 1 citations
- Advances in Deep Learning, Volume 2
2025 · 1 citations
- The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning
2025 · 1 citations
Most cited papers
- Brain Tumor Classification Using Deep Learning
2020 · 177 citations
- Advances in Deep Learning
2020 · 138 citations
- A Survey of High Utility Itemset Mining
2019 · 99 citations
- A Survey on Deep Learning for Time-Series Forecasting
2020 · 84 citations
- AI-Based Yield Prediction and Smart Irrigation
2019 · 69 citations