SCOPUS
Annals of Data Science
Springer Nature, Germany
Annals of Data Science is an academic journal published by Springer Nature (Germany). Identifiers: ISSN 2198-5804, eISSN 2198-5812. Indexed in SCOPUS. Metrics: CiteScore 8.5, SJR 0.832, SNIP 1.86. tlooto lists 884 papers from this journal.
CiteScore
8.50
Scopus citation metric
SJR
0.832
SCImago rank
SNIP
1.86
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2198-5804
- eISSN
- 2198-5812
- Abbreviation
- -
- Publisher
- Springer Nature
- Country
- Germany
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
1401 Business170217061804 Statistics
Papers in this journal
Recent papers
- Modeling Interval-Valued Data in the presence of additional information
2026
- A Data-Driven Ensemble Deep Learning Framework for Intelligent Intrusion Detection in Ethical Telehealth Systems
2026
- Dynamic Survival Prediction by Landmarking Using Parametric Proportional Hazards Models
2026
- Research on Data Monitoring of Power Grid Operation Status Based on Internet of Things Technology
2026
- System and Method for Identifying the Sentiment and Topic of a User Tweet with a Deep Learning Technique
2026
Most cited papers
- A Comprehensive Survey of Clustering Algorithms
2015 · 1,791 citations
- A Comprehensive Survey of Loss Functions in Machine Learning
2020 · 685 citations
- A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting
2021 · 611 citations
- Internet of Things, Real-Time Decision Making, and Artificial Intelligence
2017 · 401 citations
- Genetic Algorithms in the Fields of Artificial Intelligence and Data Sciences
2021 · 236 citations