# Physica D: Nonlinear Phenomena

- **Publisher**: Elsevier
- **ISSN**: 0167-2789
- **Impact factor**: 2.9
- **Trackers**: 0
- **Canonical page**: https://www.myhuiban.com/journal/421

## Special issues

| Title | Submission deadline |
|---|---|
| New Horizons at the Intersections of Machine Learning, Dynamical Systems, and Algorithmic Information Theory | 2026-02-28 |

## Call for papers

Aims & Scope Physica D (Nonlinear Phenomena) publishes research and review articles reporting on theoretical and experimental work, techniques, and ideas that advance the understanding of nonlinear phenomena. The scope of the journal encompasses mathematical methods for nonlinear systems including: wave motion, pattern formation and collective phenomena in physical, chemical and biological systems; hydrodynamics and turbulence; integrable and Hamiltonian systems; and data-driven dynamical systems. The journal encourages submissions in established and emerging application domains, for example applications of nonlinear science to artificial intelligence, robotics, control theory, complex networks, and social and economic dynamics.

## Related conferences

- SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141
- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
- CVPR — IEEE Conference on Computer Vision and Pattern Recognition — https://www.myhuiban.com/conference/407
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421
- IJCAI — International Joint Conference on Artificial Intelligence — https://www.myhuiban.com/conference/405

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- Nonlinear Analysis: Hybrid Systems — https://www.myhuiban.com/journal/733
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- Engineering — https://www.myhuiban.com/journal/764
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227

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Source: Conference Partner — https://www.myhuiban.com/journal/421 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)