IEEE Transactions on Parallel and Distributed Systems

Aims & Scope

IEEE Transactions on Parallel and Distributed Systems (TPDS) is published monthly.

It publishes a range of papers, comments on previously published papers, and survey articles that deal with the parallel and distributed systems research areas of current importance to our readers.

Particular areas of interest include, but are not limited to: Parallel and distributed algorithms, focusing on topics such as: models of computation; numerical, combinatorial, and data-intensive parallel algorithms, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, scheduling, and load balancing.

Applications of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific and biomedical applications, mobile computing, and cyber-physical systems.

Parallel and distributed architectures, including architectures for instruction-level and thread-level parallelism; design, analysis, implementation, fault resilience and performance measurements of multiple-processor systems; multicore processors, heterogeneous many-core systems; petascale and exascale systems designs; novel big data architectures; special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, and other special purpose processors and accelerators; impact of technology on architecture; network and interconnect architectures; parallel I/O and storage systems; architecture of the memory hierarchy; power-efficient and green computing architectures; dependable architectures; and performance modeling and evaluation.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	6

Journal Rank

Year	Value
2024	1315

Journal Citation Indicator

Year	Value
2024	6642

SJR (SCImago Journal Rank)

Year	Value
2024	2.097

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	166

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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, 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.

• Performance-effective and low-complexity task scheduling for heterogeneous computing

  Citation: 2673

  Authors: H., S.

• Virtual-channel flow control

  Citation: 1010

  Authors: W.J.

• A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data

  Citation: 932

  Authors: Zhihua, Xinhui, Xingming, Qian

• Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing

  Citation: 867

  Authors: Qian, Cong, Kui, Wenjing, Jin

• Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption

  Citation: 834

  Authors: Ming, Shucheng, Yao, Kui, Wenjing

• Data gathering algorithms in sensor networks using energy metrics

  Citation: 831

  Authors: S., C., K.M.

• Decentralized Computation Offloading Game for Mobile Cloud Computing

  Citation: 824

  Authors: Xu

• Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data

  Citation: 815

  Authors: Ning, Cong, Ming, Kui, Wenjing

• The power of two choices in randomized load balancing

  Citation: 742

  Authors: M.

• A compile-time scheduling heuristic for interconnection-constrained heterogeneous processor architectures

  Citation: 645

  Authors: G.C., E.A.

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