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Cluster Computing (journal): Science & Overview

Cluster Computing: the Journal of Networks, Software Tools and Applications is a peer-reviewed scientific journal on parallel processing, distributed computing systems, and computer communication networks. The journal was established in 1998.

Language: English [EN]
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Cluster Computing (journal) topic overview

The analysis highlights Science and Overview as prominent areas in the source structure around Cluster Computing (journal).

Related topics
8
Source areas
1
Connected nodes
9
Extracted relationships
8
Related term clusters
10
Bridge connections
9

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 8 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Publisher
Springer Science+Business Media (USA)
Discipline
Computer clustering
Edited by
Salim Hariri
History
1998 to present
Impact factor
1.809 (2020)
ISO 4
Clust. Comput.

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Cluster Computing (journal)
4Peer-reviewed · Parallel computing · Distributed computing
4Journal Citation Reports · Impact factor · Editor-in-chief

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

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Advanced semantic analysis

How Cluster Computing (journal) connects Entity context

The extracted context around Cluster Computing (journal) shows recurring relationship patterns in the source. For example, Cluster Computing (journal) → Computer clustering Another extracted example is Cluster Computing (journal) → Salim Hariri. Use these groups to spot repeated connection types before inspecting the individual relationships.

Cluster Computing (journal)

Top relations

Discipline · 1
Cluster Computing (journal) → Computer clustering
Edited by · 1
Cluster Computing (journal) → Salim Hariri
History · 1
Cluster Computing (journal) → 1998 to present
Impact factor · 1
Cluster Computing (journal) → 1.809 (2020)
ISO 4 · 1
Cluster Computing (journal) → Clust. Comput.
ISSN · 1
Cluster Computing (journal) → 1386-7857
Language · 1
Cluster Computing (journal) → English
Publisher · 1
Cluster Computing (journal) → Springer Science+Business Media (USA)

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

journal cluster computing computer 1998 2020 impact factor 809 salim hariri peer-reviewed editor-in-chief networks software tools applications scientific parallel processing

Cluster Computing (journal) relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Cluster Computing (journal). Examples in this analysis include Cluster Computing (journal) → Discipline → Computer clustering and Cluster Computing (journal) → Edited by → Salim Hariri. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Cluster Computing (journal)DisciplineComputer clustering1.00infobox
Cluster Computing (journal)Edited bySalim Hariri1.00infobox
Cluster Computing (journal)History1998 to present1.00infobox
Cluster Computing (journal)Impact factor1.809 (2020)1.00infobox
Cluster Computing (journal)ISO 4Clust. Comput.1.00infobox
Cluster Computing (journal)ISSN1386-78571.00infobox
Cluster Computing (journal)LanguageEnglish1.00infobox
Cluster Computing (journal)PublisherSpringer Science+Business Media (USA)1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Cluster Computing (journal) bring nearby vocabulary together. In this analysis, examples include Computer, Computing and Applications. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Cluster Computing (journal)
    • Computer
    • Computing
    • Applications
    • Communication
    • Distributed
    • External
    • Links
    • Networks
    • Parallel
    • Peer-reviewed
    • Processing
    • References
  • cluster computing (journal)
    • Computer
    • Computing
    • Applications
    • Communication
    • Distributed
    • External
    • Links
    • Networks
    • Parallel
    • Peer-reviewed
    • Processing
    • References
  • computer communication
    • Computing
    • Distributed
    • Networks
    • Parallel
    • Peer-reviewed
    • Processing
    • Scientific
    • Software
    • Systems
    • Tools
    • Communication
    • Computer
  • distributed computing
    • Computer
    • Networks
    • Parallel
    • Peer-reviewed
    • Processing
    • Scientific
    • Software
    • Systems
    • Tools
    • Communication
    • Distributed
    • External
  • journal citation reports
    • According
    • Citation
    • Reports
    • Factor
    • Impact
    • Distributed
    • Established
    • Journal
    • Networks
    • Parallel
    • Peer-reviewed
    • Processing
  • impact factor
    • Factor
    • Impact
    • External
    • Links
    • References
    • Reports
    • Hariri
    • Salim
    • Journal
  • peer-reviewed
    • Parallel
    • Processing
    • Scientific
    • Software
    • Systems
    • Tools
  • parallel processing
    • Peer-reviewed
    • Processing
    • Scientific
    • Software
    • Systems
    • Tools

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Cluster Computing (journal) map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Cluster Computing (journal)

Nodes10
Edges9
Triples8
Avg. degree1.8
Density0.2
Components1

Source & methodology

TTTA analyzes the structure around Cluster Computing (journal) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Cluster Computing (journal) · EN edition · Analysis: TopicsToTalkAbout

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