IEEE Internet of Things Journal
Published by IEEE
eISSN : 2327-4662
Abbreviation : IEEE Internet Thing J.
Aims & Scope
The IEEE IoT Journal (IoT-J), launched in 2014, publishes papers on the latest advances, as well as review articles, on the various aspects of IoT.
Topics include IoT system architecture, IoT enabling technologies, IoT communication and networking protocols, IoT services and applications, and the social implications of IoT.
Examples are IoT demands, impacts, and implications on sensors technologies, big data management, and future internet design for various IoT use cases, such as smart cities, smart environments, smart homes, etc.
The fields of interest include: IoT architectures such as things-centric, data-centric, service-centric architecture, CPS and SCADA platforms, future Internet design for IoT, cloud-based IoT, and system security and manageability.
IoT enabling technologies such as sensors, radio frequency identification, low power and energy harvesting, sensor networks, machine-type communication, resource-constrained networks, real-time systems, IoT data analytics, in situ processing, and embedded software.
IoT services, applications, standards, and test-beds such as streaming data management and mining platforms, service middleware, open service platform, semantic service management, security and privacy-preserving protocols, design examples of smart services and applications, and IoT application support.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 8.9 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 2.483 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 208 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 968 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 58046 |
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 and Decision Sciences, designed to support cutting-edge academic discovery.