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verified SJR 0,348 · Q3 • database Scopus / SJR & Web of Science indexed
International Journal of Parallel Programming
United States · Springer New York
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International Journal of Parallel Programming

International Journal of Parallel Programming is a journal indexed in SJR in Software and Information Systems with an H index of 41. It has a price of 2190 €. It has an SJR impact factor of 0,348 and it has a best quartile of Q3. It is published in English. It has an SJR impact factor of 0,348.

ISSN: 0885-7458
Publisher: Springer New York
Category: Software
Indexation: verifiedScopus / SJR verifiedWeb of Science
open_in_new Portal NPD menu_book Guidelines NPD
schedule CountryOfPapers database fields
SJR Impact Factor trending_up
0,348 Q3
H-index 41
Acceptance rate pie_chart
34%
Source Acceptance_Rate
Time to publication hourglass_top
NPD
Field NPD
Publication cost (APC) payments
2.190 € Subscription
Non-OA path 0 €

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR Web of Science

SJR Impact

0,348

H-index

41

Docs (year)

19

Docs 3y

79

Total refs

615

Cites 3y

113

Citable 3y

76

Cites/Doc 2y

1.32

Ref/Doc

32.37

Immediate OA

2190 €

Embargoed OA

NPD

Non OA / Submission

0 €

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Best articles by citations

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WorkCrews: An abstraction for controlling parallelism

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Verifying atomic data types

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Transaction Scheduling Using Dynamic Conflict Avoidance

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Systolic parsing of context-free languages

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Synchronization barrier and related tools for shared memory parallel programming

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Scheduling speculative work in MUSE and performance results

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Transforming generate-and-test programs to execute under committed-choice AND-parallelism

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Parallel implementation of OPS5 on the encore multiprocessor: Results and analysis

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Parallel general prefix computations with geometric, algebraic, and other applications

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Parallel evaluation of the transitive closure of a database relation

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ParaGraph: Graph editor support for parallel programming environments

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Optimal computation of prefix sums on a binary tree of processors

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On the relative execution times of distributed protocols

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On the Effectiveness of Flow Aggregation in Improving Instruction Reuse in Network Processing Applications

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On partitioning and mapping for hypercube computing

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On mapping processes to processors in distributed systems

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Initial failures in distributed computations

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