Multiagent and Grid Systems

334 papers and 1.5k indexed citations i.

About

The 334 papers published in Multiagent and Grid Systems in the last decades have received a total of 1.5k indexed citations. Papers published in Multiagent and Grid Systems usually cover Computer Networks and Communications (168 papers), Artificial Intelligence (143 papers) and Information Systems (123 papers) specifically the topics of Multi-Agent Systems and Negotiation (73 papers), Distributed and Parallel Computing Systems (69 papers) and Cloud Computing and Resource Management (50 papers). The most active scholars publishing in Multiagent and Grid Systems are K.N. Krishnanand, Debasish Ghose, Bastin Tony Roy Savarimuthu, Stephen Cranefield, Mathijs de Weerdt, Asif Ali Laghari, Hui He, Asiya Khan, Li Zhang and Kevin Lai.

In The Last Decade

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.

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).

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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2025