Multiagent and Grid Systems

2.0k citations
342 papers · · active since 1950

Impact in

    • Distributed and Parallel Computing Systems
    • IoT and Edge/Fog Computing
    • Peer-to-Peer Network Technologies
    • Cloud Computing and Resource Management
    • Service-Oriented Architecture and Web Services
    • Blockchain Technology Applications and Security

Papers in

Multiagent and Grid Systems

313 papers receiving 1.7k citations

Peers

Multiagent and Grid Systems
Comparison fields: 5 of 123
  • Computer Networks and Communications 872
  • Information Systems 699
  • Artificial Intelligence 704
  • Management Science and Operations Research 226
  • Hardware and Architecture 104
Replace International journal of innovative computing, information & control with:
International journal of innovative computing, information & control Taiwan
Malaysian Journal of Computer Science Malaysia
Data Science and Engineering China
International Journal of Parallel Emergent and Distributed Systems United States
Proceedings of the ACM on Measurement and Analysis of Computing Systems United States
The Journal of Defense Modeling and Simulation Applications Methodology Technology United States
Journal of the Brazilian Computer Society Brazil
International Journal of Cloud Applications and Computing India
International Journal of High Performance Computing and Networking China
International Journal of Pervasive Computing and Communications India
Multiagent and Grid Systems relative to International journal of innovative computing, information & control Taiwan International journal of innovative computing, information & control's profile →
Citations per field
00.5×6.8×
International journal of innovative computing, information & control · 1×
Citations per year

Countries where authors publish in Multiagent and Grid Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Multiagent and Grid Systems. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Multiagent and Grid Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multiagent and Grid Systems more than expected).

Fields of papers published in Multiagent and Grid Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Multiagent and Grid Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Multiagent and Grid Systems.

About Multiagent and Grid Systems

The 342 papers published in Multiagent and Grid Systems in the last decades have received a total of 2.0k indexed citations . Papers published in Multiagent and Grid Systems usually cover Computer Networks and Communications (167 papers), Information Systems (125 papers), Artificial Intelligence (147 papers), Hardware and Architecture (24 papers) and Management Information Systems (29 papers) specifically the topics of Multi-Agent Systems and Negotiation (74 papers), Distributed and Parallel Computing Systems (68 papers), Cloud Computing and Resource Management (50 papers), Service-Oriented Architecture and Web Services (46 papers), Peer-to-Peer Network Technologies (35 papers), IoT and Edge/Fog Computing (29 papers), Logic, Reasoning, and Knowledge (28 papers) and Business Process Modeling and Analysis (26 papers). The most active scholars publishing in Multiagent and Grid Systems are Debasish Ghose, K.N. Krishnanand, Bastin Tony Roy Savarimuthu, Stephen Cranefield, Lars Rasmusson, Kevin Lai, Eytan Adar, Li Zhang, Bernardo A. Huberman and Mathijs de Weerdt.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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