ACM Transactions on Cyber-Physical Systems

Aims & Scope

Cyber-Physical Systems (CPS) has emerged as a unifying name for systems where the cyber parts, i.e., the computing and communication parts, and the physical parts are tightly integrated, both at the design time and during operation.

Such systems use computations and communication deeply embedded in and interacting with physical processes to add new capabilities to physical systems.

These cyber-physical systems range from miniscule (pace makers) to large-scale (a national power-grid).

There is an emerging consensus that new methodologies and tools need to be developed to support cyber-physical systems.

ACM Transactions on Cyber-Physical Systems (TCPS) publishes high-quality original research papers and survey papers that have scientific and technological understanding of the interactions of information processing, networking and physical processes.

TCPS covers the following topics: - Computation Abstractions - System Modeling and Languages - System Compositionality and Integration - Design Automation and Tool Chains - Trustworthy System Designs - Resilient and Robust System Designs - Human in the Loop.

The application domains covered by TCPS include, but are not limited to: Healthcare, Transportation, Automotive, Avionics, Energy, Living Space, and Robotics.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.9
2024	2.00

Journal Rank

Year	Value
2024	8135

Journal Citation Indicator

Year	Value
2024	380

SJR (SCImago Journal Rank)

Year	Value
2024	0.698

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
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, 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.

• Reinforcement Learning for UAV Attitude Control

  Citation: 351

  Authors: William, Renato, Richard, Azer

• Security, Privacy, and Safety Aspects of Civilian Drones

  Citation: 346

  Authors: Riham, Amr M.

• A Survey of Mobile Crowdsensing Techniques

  Citation: 158

  Authors: Jinwei, Haiying, Husnu S., Wingyan, Zongfang

• Machine Learning-based Intrusion Detection for Smart Grid Computing: A Survey

  Citation: 86

  Authors: Nitasha, Ruoxi, Jin-Hee, Chen-Ching

• A Survey on Intersection Management of Connected Autonomous Vehicles

  Citation: 85

  Authors: Mohammad, Mohammadreza, Edward, Rachel, Sarthake, Yingyan, Aviral

• Fundamental Limits of Cyber-Physical Systems Modeling

  Citation: 62

  Authors: Edward A.

• Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems

  Citation: 60

  Authors: Voica, Paul

• A Distributed Tensor-Train Decomposition Method for Cyber-Physical-Social Services

  Citation: 57

  Authors: Xiaokang, Laurence T., Yihao, Xingang, Qingxia, M. Jamal

• SMT-Based Observer Design for Cyber-Physical Systems under Sensor Attacks

  Citation: 55

  Authors: Yasser, Michelle, Masashi, Pierluigi, Alberto, Sanjit A., JOÃo P., Paulo

• Adaptive Real-Time Communication for Wireless Cyber-Physical Systems

  Citation: 52

  Authors: Marco, Luca, Pratyush, Federico, Lothar

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