ACM Transactions on Internet of Things

Aims & Scope

ACM Transactions on Internet of Things (TIOT) is a new ACM journal that publishes novel research contributions and experience reports in several research domains whose synergy and interrelations enable the IoT vision.

TIOT focuses on system designs, end-to-end architectures, and enabling technologies, and on publishing results and insights corroborated by a strong experimental component.

This journal is published on a quarterly basis.

Topics relevant to the journal are: • Real-world applications, application designs, industrial case studies and user experiences of IoT technologies, including standardization and social acceptance • Communication networks, protocols, and interoperability for IoT • IoT data analytics, machine learning, and associated Web technologies • Wearable and personal devices, including sensor technologies • Human-machine and machine-machine interactions • Edge, fog, and cloud computing architectures • Novel IoT software architectures, services, middleware as well as future Internet designs • Fusion of social and physical signals in IoT services • Non-functional properties of IoT systems, e.g., dependability, timeliness, security and privacy, robustness • Testbeds for IoT

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	6544

Journal Citation Indicator

Year	Value
2024	288

SJR (SCImago Journal Rank)

Year	Value
2024	0.821

Quartile

Year	Value
2024	Q2

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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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.

• A Federated Learning Approach to Anomaly Detection in Smart Buildings

  Citation: 126

  Authors: Raed Abdel, A. Ben

• A Computer Science Perspective on Digital Transformation in Production

  Citation: 108

  Authors: Philipp, Manuela, Matthias, Ike, István, Gerhard, Martin, Judith, Jan, Christoph, Bernhard, Wil, Klaus, Andreas, Martina

• A Survey of On-Device Machine Learning

  Citation: 102

  Authors: Sauptik, Junyao, Jiayi (Jason), Samarth, Unmesh, Mohak

• Security and Privacy Requirements for the Internet of Things

  Citation: 64

  Authors: Nada, Omer, Charith

• A Survey on IoT Profiling, Fingerprinting, and Identification

  Citation: 55

  Authors: Miraqa, Sajjad, Farzaneh, Hassan, Heather, Ali A.

• Location- and Person-Independent Activity Recognition with WiFi, Deep Neural Networks, and Reinforcement Learning

  Citation: 52

  Authors: Yongsen, Sheheryar, Swetha, Eric, Enrico, Klaus, Gang

• Elk Audio OS

  Citation: 51

  Authors: Luca, Carlo

• A Flexible and Modular Architecture for Edge Digital Twin: Implementation and Evaluation

  Citation: 41

  Authors: Marco, Marco, Franco

• A Tale of Two Entities

  Citation: 40

  Authors: Hossam, Chadi, Bassam, Ribal, Ali

• A Systematic Review on Osmotic Computing

  Citation: 36

  Authors: Benazir, Sanjaya Kumar, Pradip Kumar, Kshira Sagar, Amir H.

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