About the journal
The Visual Computer is a journal published by Springer Science+Business Media in Germany. It is listed in PUBMED according to the sources read. Declared publication charge: 2,990 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
- 0178-2789 · 1432-2315
- Country
- Germany
- Access
- Not open access / not declared
- Declared publication charge
- 2,990 EUR
- Declared peer-review model
- peer_review
- Official website
- https://www.springer.com/journal/371
Index listings
- PUBMED · 2022-04-25
- Indexing
- PUBMED
- APC
- 2,990 EUR
- Declared review time (DOAJ)
- —
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
Details of the evaluation under the published methodology are shown to signed-in users (free).
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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
5638
Last recorded publication year
2026
h-index
103
i10-index
2189
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
- 99%
- ORCID iDs in current deposits
- 18%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity3
- Alternate titles
- International journal of computer graphics ; official journal of the Computer Graphics Society, CGSThe visual computer
- Source type
- journal
- NLM unique ID (PubMed)
- 101584127
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
- Computer Graphics and Visualization Techniques
- Computer Graphics and Visualization Techniques
- 3D Shape Modeling and Analysis
- 3D Shape Modeling and Analysis
- Advanced Vision and Imaging
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Image Enhancement Techniques
Show all subjects (50)
- Advanced Image and Video Retrieval Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Numerical Analysis Techniques
- Advanced Numerical Analysis Techniques
- Advanced Neural Network Applications
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Advanced Image Processing Techniques
- Human Pose and Action Recognition
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Video Surveillance and Tracking Methods
- Computational Geometry and Mesh Generation
- Computational Geometry and Mesh Generation
- Robotics and Sensor-Based Localization
- Robotics and Sensor-Based Localization
- Human Motion and Animation
- Human Motion and Animation
- Generative Adversarial Networks and Image Synthesis
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Face recognition and analysis
- Advanced Image Fusion Techniques
- Advanced Image Fusion Techniques
- Visual Attention and Saliency Detection
- Visual Attention and Saliency Detection
- Image Retrieval and Classification Techniques
- Image Retrieval and Classification Techniques
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- 3D Surveying and Cultural Heritage
- 3D Surveying and Cultural Heritage
- Video Analysis and Summarization
- Video Analysis and Summarization
- Image Processing and 3D Reconstruction
- Image Processing and 3D Reconstruction
- Image Processing Techniques and Applications
- Image Processing Techniques and Applications
- Anomaly Detection Techniques and Applications
- Anomaly Detection Techniques and Applications
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