Design Automation for Embedded Systems
Published by Springer Nature
ISSN : 0929-5585 eISSN : 1572-8080
Abbreviation : Des. Autom. Embed. Syst.
Aims & Scope
Embedded (electronic) systems have become the electronic engines of modern consumer and industrial devices, from automobiles to satellites, from washing machines to high-definition TVs, and from cellular phones to complete base stations.
These embedded systems encompass a variety of hardware and software components which implement a wide range of functions including digital, analog and RF parts.
Although embedded systems have been designed for decades, the systematic design of such systems with well defined methodologies, automation tools and technologies has gained attention primarily in the last decade.
Advances in silicon technology and increasingly demanding applications have significantly expanded the scope and complexity of embedded systems.
These systems are only now becoming possible due to advances in methodologies, tools, architectures and design techniques.
Design Automation for Embedded Systems is a multidisciplinary journal which addresses the systematic design of embedded systems, focusing primarily on tools, methodologies and architectures for embedded systems, including HW/SW co-design, simulation and modeling approaches, synthesis techniques, architectures and design exploration, among others.
Design Automation for Embedded Systems offers a forum for scientist and engineers to report on their latest works on algorithms, tools, architectures, case studies and real design examples related to embedded systems hardware and software.
Design Automation for Embedded Systems is an innovative journal which distinguishes itself by welcoming high-quality papers on the methodology, tools, architectures and design of electronic embedded systems, leading to a true multidisciplinary system design journal.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.259 |
Quartile
Year | Value |
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2024 | Q3 |
h-index
Year | Value |
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2024 | 33 |
Journal Rank
Year | Value |
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2024 | 18220 |
Journal Citation Indicator
Year | Value |
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2024 | 48 |
Impact Factor
Year | Value |
---|---|
2024 | 0.90 |
Impact Factor Trend
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, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria
Citation: 193
Authors: Mohamed, Gunasekaran, Abduallah, Florentin
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System Level Hardware/Software Partitioning Based on Simulated Annealing and Tabu Search
Citation: 177
Authors: Petru, Zebo, Krzysztof, Alexa
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An overview of today’s high-level synthesis tools
Citation: 134
Authors: Wim, Kristof, Toon, Jan, Dirk
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RETRACTED ARTICLE: A novel Gini index decision tree data mining method with neural network classifiers for prediction of heart disease
Citation: 117
Authors: K., Priyan Malarvizhi, Parthasarathy, Gunasekaran, R.
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An Algorithm for Hardware/Software Partitioning Using Mixed Integer Linear Programming
Citation: 115
Authors: Ralf, Peter
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Comparing Three Heuristic Search Methods for Functional Partitioning in Hardware–Software Codesign
Citation: 95
Authors: Theerayod, Peter Y. K., Wayne
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Retargetable Code Generation Based on Structural Processor Description
Citation: 72
Authors: Rainer, Peter