Who publishes Concurrency and Computation: Practice and Experience?

Concurrency and Computation: Practice and Experience is published by Wiley.

What is the impact factor of Concurrency and Computation: Practice and Experience?

The reported impact factor of Concurrency and Computation: Practice and Experience is 2.2. Impact factor values are reproduced from publishers and may lag the latest JCR release.

What is the CCF ranking of Concurrency and Computation: Practice and Experience?

Concurrency and Computation: Practice and Experience is ranked CCF C in the China Computer Federation journal catalogue.

Journal Information

Concurrency and Computation: Practice and Experience

Q: What is the ISSN of Concurrency and Computation: Practice and Experience?

The ISSN of Concurrency and Computation: Practice and Experience is 1532-0634.

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Impact Factor:

2.2

Publisher:

Wiley

ISSN:

1532-0634

Viewed:

32994

Tracked:

30

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Call For Papers

Concurrency and Computation: Practice and Experience is an academic journal published by Wiley. (ISSN 1532-0634, impact factor 2.2, CCF C).

Aims and Scope Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing. Emphasis on novel research related to practice and experience in these areas should be an essential aspect of contributions, rather than addressing theoretical aspects. Submissions should involve or imply significant concurrency and/or computational issues. Within these broad areas, the scope of CCPE includes the design, implementation, and optimization of compute and data-intensive applications for parallel and distributed systems. This includes the development of novel concurrent algorithms and applications, their parallel performance analysis and modelling, and new programming or modelling languages and relevant methodologies for composing them. Areas relevant to compute and data-intensive applications include, but are not limited to, large-scale computational science, artificial intelligence, and the processing of voluminous datasets from satellites, scientific experiments, sensor networks, medical instruments, and other sources. Techniques for resource management in the context of parallel and distributed systems, and energy-aware computing are also topics of interest.

Last updated by Dou Sun on 2026-04-11

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Related Conferences

CCF	ICORE	CP-I	Short	Full Name	Submission	Conference
A	A*	90.7	CVPR	IEEE Conference on Computer Vision and Pattern Recognition	2025-11-06	2026-06-03
A	A*	89.2	ICCV	International Conference on Computer Vision	2025-03-07	2025-10-19
	C	59.7	ISPEC	International Conference on Information Security Practice and Experience	2026-08-07	2026-11-06
		49.1	PEARC	Practice & Experience in Advanced Research Computing Conference	2026-02-09	2026-07-26
		42.1	PRACTICE	Workshop on PRactical Applications of CogniTIve Computing in Emerging topics	2017-03-23	2017-06-21
B	B	82.4	CONCUR	International Conference on Concurrency Theory	2026-04-20	2026-09-01
		64.6	ACSD	International Conference on Application of Concurrency to System Design	2019-01-16	2019-06-23
		39.5	HAXD	International Conference on Human-AI Interaction and Experience Design	2026-03-10	2026-06-09
C		87.1	ICC	International Conference on Communications	2026-10-02	2027-05-30
C	B	62.5	IJCNN	International Joint Conference on Neural Networks	2027-01-31	2027-06-14

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