Journal of Parallel and Distributed Computing

Aims & Scope

This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing.

The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems.

The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4
2024	3.40

SJR (SCImago Journal Rank)

Year	Value
2024	0.978

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	111

Journal Rank

Year	Value
2024	5011

Journal Citation Indicator

Year	Value
2024	2395

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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.

• A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems

  Citation: 1225

  Authors: Tracy D, Howard Jay, Noah, Ladislau L, Muthucumaru, Albert I, James P, Mitchell D, Bin, Debra, Richard F

• Multilevelk-way Partitioning Scheme for Irregular Graphs

  Citation: 1115

  Authors: George, Vipin

• Distributed average consensus with least-mean-square deviation

  Citation: 840

  Authors: Lin, Stephen, Seung-Jean

• Kokkos: Enabling manycore performance portability through polymorphic memory access patterns

  Citation: 734

  Authors: H., Christian R., Daniel

• Dynamic load balancing for distributed memory multiprocessors

  Citation: 692

  Authors: George

• Trends in big data analytics

  Citation: 585

  Authors: Karthik, Giorgos, Vipin, Ananth

• Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems

  Citation: 558

  Authors: Muthucumaru, Shoukat, Howard Jay, Debra, Richard F.

• Big Data computing and clouds: Trends and future directions

  Citation: 523

  Authors: Marcos D., Rodrigo N., Silvia, Marco A.S., Rajkumar

• Cilk: An Efficient Multithreaded Runtime System

  Citation: 454

  Authors: Robert D., Christopher F., Bradley C., Charles E., Keith H., Yuli

• A performance study of general-purpose applications on graphics processors using CUDA

  Citation: 409

  Authors: Shuai, Michael, Jiayuan, David, Jeremy W., Kevin

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