Multiagent and Grid Systems

Aims & Scope

Multiagent and Grid Systems – An International Journal of Data Science and Engineering aims to provide a timely and prime forum for researchers and practitioners.

The Journal solely considers original work that has not been published elsewhere, nor is under consideration for potential publication elsewhere.

The Journal solicits manuscripts of solid work that fall within its thematic areas, including Big Data, Cloud Computing, Internet of Things (IoT) Platforms and Analytics, Intelligent Agents, and so forth.

The Journal publishes peer-refereed research and application articles of high technical quality and scientific standard.

It features contributed research articles, review articles about the state of the art, and technical articles about implementation issues and real-world problems.

Moreover, from time to time it presents special issues on topical developments of major research challenges and/or profound scientific impacts.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.4
2024	0.60

Journal Rank

Year	Value
2024	23453

Journal Citation Indicator

Year	Value
2024	40

SJR (SCImago Journal Rank)

Year	Value
2024	0.165

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	21

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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.

• Glowworm swarm based optimization algorithm for multimodal functions with collective robotics applications

  Citation: 140

  Authors: K.N., Debasish

• Tycoon: An implementation of a distributed, market-based resource allocation system

  Citation: 135

  Authors: Kevin, Lars, Eytan, Li, Bernardo A.

• Norm creation, spreading and emergence: A survey of simulation models of norms in multi-agent systems

  Citation: 73

  Authors: Bastin Tony Roy, Stephen

• Introduction to planning in multiagent systems

  Citation: 69

  Authors: Mathijs, Brad

• A multi-issue negotiation protocol among agents with nonlinear utility functions

  Citation: 64

  Authors: Takayuki, Mark, Hiromitsu

• Quality of experience (QoE) in cloud gaming models: A review

  Citation: 63

  Authors: Asif Ali, Hui, Kamran Ali, Rashid Ali, Imtiaz Ali, Asiya

• Assessment of quality of experience (QoE) of image compression in social cloud computing

  Citation: 44

  Authors: Asif Ali, Hui, Muhammad, Asiya

• Secure and efficient data access control in cloud computing environment: A survey

  Citation: 34

  Authors: Suyel, Pinki

• A decentralized model for automated multi-attribute negotiations with incomplete information and general utility functions

  Citation: 32

  Authors: Guoming, Katia, Cuihong

• A brief review and challenges of object detection in optical remote sensing imagery

  Citation: 28

  Authors: Shahid, Ye, Shoulin, Irfana, Ali Anwar

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