Journal of Aerospace Information Systems
Published by American Institute of Aeronautics and Astronautics
eISSN : 2327-3097
Abbreviation : J. Aerosp. Inf. Syst.
Aims & Scope
This Journal is devoted to the dissemination of original archival research papers describing new theoretical developments, novel applications, and case studies regarding advances in aerospace computing, information, and networks and communication systems that address aerospace-specific issues.
Topics include aerospace systems and software engineering, verification and validation of embedded systems, uncertainty quantification, the field known as ‘big data,’ data analytics, machine learning, knowledge management for aerospace systems, human-automation interaction, and systems health management for aerospace systems.
Applications of autonomous systems, systems engineering principles, and safety and mission assurance are of particular interest.
The Journal also features Technical Notes regarding recent innovations or applications.
Papers are also sought that rigorously review the results of recent research developments.
In addition to original research papers and reviews, the journal publishes articles that review books, conferences, social media, and new educational modes applicable to the scope of the Journal.
Issues related to signal processing, electromagnetics, antenna theory, and the basic networking hardware transmission technologies of a network are not within the scope of this journal.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.600 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
h-index
| Year | Value |
|---|---|
| 2024 | 46 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 9675 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 500 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.