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Journal of Aerospace Information Systems is a peer-reviewed journal published by AIAA, covering Air Traffic Management and Optimization, Aerospace and Aviation Technology, Robotic Path Planning Algorithms. Over its lifetime it has published 873 papers, which have received 8,353 citations.
| Publisher | AIAA |
|---|---|
| Reference style | Numbered (AIAA) Numbered — [1], [2] in the text [1] Smith, A., Jones, B., and Lee, C., "A Representative Article Title," Journal of Aerospace Information Systems, Vol. 12, No. 3, 2023, pp. 45–58.
Formats any DOI in Journal of Aerospace Information Systems style. No sign-up. |
| Publishes research in | Air Traffic Management and Optimization Aerospace and Aviation Technology Robotic Path Planning Algorithms Robotics and Sensor-Based Localization Fault Detection and Control Systems |
| ISSN | 2327-3097 |
| Citation impact (2-yr) | 1.43 |
| h-index | 39 |
| i10-index | 240 |
| Top institutions publishing here | Georgia Institute of Technology |
| Journal website | arc.aiaa.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Computational fluid dynamics through the solution of the Navier–Stokes equations with turbulence models has become commonplace. However, simply solving these equations is not sufficient to be able to perform efficient design optimization with a flow solver in the loop. This paper discusses the recommendations for developing a flow solver that is suitable for efficient aerodynamic…
The airline industry is moving toward proactive risk management, which aims to identify and mitigate risks before accidents occur. However, existing methods for such efforts are limited. They rely on predefined criteria to identify risks, leaving emergent issues undetected. This paper presents a new method, cluster-based anomaly detection to detect abnormal flights, which can support…
Vision-based navigation has become increasingly important in a variety of space applications for enhancing autonomy and dependability. Future missions, such as active debris removal for remediating the low Earth orbit environment, will rely on novel high-performance avionics to support advanced image processing algorithms with substantial workloads. However, when designing new avionics architectures, constraints relating to…
This Paper proposes a two-step binary linear programming formulation for task scheduling of a constellation of low-Earth-orbit satellites and demonstrates its applicability and scalability to obtain high-quality solutions using a standard mixed-integer linear programming solver. In this instance, the goal of satellite constellation task scheduling is to allocate each task for the satellites and to…
