About the journal
Annals of Data Science is a journal published by Springer Science+Business Media in Germany. It is listed in PUBMED according to the sources read. Declared publication charge: 2,890 EUR. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Springer Science+Business Media
- ISSN
- 2198-5804 · 2198-5812
- Country
- Germany
- Access
- Not open access / not declared
- Declared publication charge
- 2,890 EUR
- Declared peer-review model
- peer_review
- Official website
- http://link.springer.com/journal/40745
Index listings
- PUBMED · 2022-10-12
- Indexing
- PUBMED
- APC
- 2,890 EUR
- Declared review time (DOAJ)
- —
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
683
Last recorded publication year
2026
h-index
44
i10-index
208
From OpenAlex open data (CC0).
Editorial & policy5
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 98%
- ORCID iDs in current deposits
- 76%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 9918786088706676
Classification(no data)
No data available to the platform for this group
No platform data for: Classification — absence is not a judgment about the journal.
Subject areas
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Probabilistic and Robust Engineering Design
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Advanced Statistical Methods and Models
Show all subjects (50)
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
- Hydrology and Drought Analysis
- Hydrology and Drought Analysis
- Statistical Methods and Inference
- Statistical Methods and Inference
- Reliability and Maintenance Optimization
- Reliability and Maintenance Optimization
- Stock Market Forecasting Methods
- Stock Market Forecasting Methods
- Face and Expression Recognition
- Face and Expression Recognition
- Market Dynamics and Volatility
- Forecasting Techniques and Applications
- Market Dynamics and Volatility
- Forecasting Techniques and Applications
- Anomaly Detection Techniques and Applications
- Anomaly Detection Techniques and Applications
- COVID-19 epidemiological studies
- COVID-19 epidemiological studies
- Rough Sets and Fuzzy Logic
- Rough Sets and Fuzzy Logic
- Advanced Statistical Process Monitoring
- Data Mining Algorithms and Applications
- Multi-Criteria Decision Making
- Advanced Statistical Process Monitoring
- Multi-Criteria Decision Making
- Data Mining Algorithms and Applications
- Energy Load and Power Forecasting
- Energy Load and Power Forecasting
- Probability and Risk Models
- Complex Systems and Time Series Analysis
- Network Security and Intrusion Detection
- Big Data and Business Intelligence
- Network Security and Intrusion Detection
- Complex Systems and Time Series Analysis
- Probability and Risk Models
- Big Data and Business Intelligence
- Imbalanced Data Classification Techniques
- Blockchain Technology Applications and Security
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ