International Journal of Grid and High Performance Computing

Aims & Scope

The primary mission of the International Journal of Grid and High Performance Computing (IJGHPC) is to provide an international forum for the dissemination and development of theory and practice in grid and cloud computing.

IJGHPC publishes refereed and original research papers and welcomes contributions on current trends, new issues, tools, societal impact, and directions for future research in the areas of grid and cloud computing.

This journal is targeted at both academic researchers and practicing IT professionals.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.6
2024	0.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.179

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	16

Journal Rank

Year	Value
2024	22568

Journal Citation Indicator

Year	Value
2024	76

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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.

• A Potent View on the Effects of E-Learning

  Citation: 30

  Authors: Sherin, P.

• Cloud Architecture for Dynamic Service Composition

  Citation: 27

  Authors: Jiehan, Kumaripaba, Ekaterina, Jukka, Mika

• Cellular Automata and GPGPU

  Citation: 24

  Authors: Donato, Giuseppe, Rocco, William, Giuseppe A.

• Resource Efficient Clustering and Next Hop Knowledge Based Routing in Multiple Heterogeneous Wireless Sensor Networks

  Citation: 24

  Authors: Sunil, Priya, Radhakrishnan, Malay Ranjan

• An Automated Self-Healing Cloud Computing Framework for Resource Scheduling

  Citation: 23

  Authors: Bhupesh Kumar, Amit, Ashutosh, Tanupriya

• Maintaining User Control While Storing and Processing Sensor Data in the Cloud

  Citation: 21

  Authors: Martin, René, Roman, Daniel, Klaus

• A Load and Distance Aware Cloudlet Selection Strategy in Multi-Cloudlet Environment

  Citation: 20

  Authors: Ramasubbareddy

• An Energy-Efficient Resource Scheduling Algorithm for Cloud Computing based on Resource Equivalence Optimization

  Citation: 19

  Authors: Li, De Yu, Wei Wei, Bo, Ye

• A Big Data Pipeline and Machine Learning for Uniform Semantic Representation of Data and Documents From IT Systems of the Italian Ministry of Justice

  Citation: 18

  Authors: Beniamino, Luigi, Salvatore, Antonio, Mariangela, Fiammetta, Pietro, Alessandra

• Communication Trust and Energy-Aware Routing Protocol for WSN Using D-S Theory

  Citation: 18

  Authors: Srinivasan, Ramasubbareddy, Ganesh Gopal

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