Foundations of Data Science
Last updated ISSN 2639-8001
Foundations of Data Science is published by American Institute of Mathematical Sciences in computer science. It is open access. Its article processing charge is not published.
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What it publishes
Recent work in Foundations of Data Science concentrates on these topics, taken from its published record rather than from its own description:
- Topological and Geometric Data Analysis
- Gaussian Processes and Bayesian Inference
- Model Reduction and Neural Networks
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Neuroimaging Techniques and Applications
- Markov Chains and Monte Carlo Methods
- Sparse and Compressive Sensing Techniques
- Homotopy and Cohomology in Algebraic Topology
- Machine Learning and Algorithms
- Cell Image Analysis Techniques
Key facts
| Publisher | American Institute of Mathematical Sciences |
|---|---|
| ISSN | 2639-8001 |
| Subject area | Computer Science |
| Access | Open access |
| Article processing charge | Not published |
| Indexed in | Scopus |
| Articles published | 229 |
| Publishing since | 2019 |
| Journal website | aimsciences.org/journal/A0000-0002/2019/1/1 |
Facts come from OpenAlex, DOAJ and Wikidata and may lag the journal’s own pages. Check the publisher’s site before submitting. Indexing shown here is what is recorded, not a complete picture — about a third of journals have no indexing recorded anywhere we can read, so “not recorded” does not mean a journal is absent from Scopus or Web of Science.
Journals like Foundations of Data Science
Other established journals in computer science, if this one is not the right home for your paper: