About the journal
Evolving Systems is a journal published by Springer Science+Business Media in Germany. It is listed in PUBMED according to the sources read. Declared publication charge: 3,190 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
- 1868-6478 · 1868-6486
- Country
- Germany
- Access
- Not open access / not declared
- Declared publication charge
- 3,190 EUR
- Declared peer-review model
- peer_review
- Official website
- https://link.springer.com/journal/12530
Index listings
- PUBMED · 2022-12-21
- Indexing
- PUBMED
- APC
- 3,190 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
836
Last recorded publication year
2026
h-index
51
i10-index
311
From OpenAlex open data (CC0).
Editorial & policy6
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Editorial board
- Official page ↗
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 98%
- ORCID iDs in current deposits
- 62%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 9918574488206676
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
- Neural Networks and Applications
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Metaheuristic Optimization Algorithms Research
- Data Stream Mining Techniques
- Data Stream Mining Techniques
- Fuzzy Logic and Control Systems
- Fuzzy Logic and Control Systems
Show all subjects (50)
- Anomaly Detection Techniques and Applications
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- AI in cancer detection
- Evolutionary Algorithms and Applications
- Evolutionary Algorithms and Applications
- Face and Expression Recognition
- Advanced Multi-Objective Optimization Algorithms
- Advanced Multi-Objective Optimization Algorithms
- Time Series Analysis and Forecasting
- Face and Expression Recognition
- Time Series Analysis and Forecasting
- COVID-19 diagnosis using AI
- COVID-19 diagnosis using AI
- Machine Learning and Data Classification
- Stock Market Forecasting Methods
- Network Security and Intrusion Detection
- Brain Tumor Detection and Classification
- Network Security and Intrusion Detection
- Machine Learning and Data Classification
- Stock Market Forecasting Methods
- Fault Detection and Control Systems
- Medical Image Segmentation Techniques
- Medical Image Segmentation Techniques
- Fault Detection and Control Systems
- Brain Tumor Detection and Classification
- Face recognition and analysis
- Advanced Neural Network Applications
- Face recognition and analysis
- EEG and Brain-Computer Interfaces
- Multi-Criteria Decision Making
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
- Multi-Criteria Decision Making
- Energy Load and Power Forecasting
- EEG and Brain-Computer Interfaces
- Radiomics and Machine Learning in Medical Imaging
- Biometric Identification and Security
- Biometric Identification and Security
- Energy Load and Power Forecasting
- Fuzzy Systems and Optimization
- Fuzzy Systems and Optimization
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