Cluster Computing
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In The Last Decade
Cluster Computing
4.0k papers receiving 43.8k citations
Fields of papers published in Cluster Computing
This network shows the impact of papers published in Cluster Computing. 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 Cluster Computing.
Countries where authors publish in Cluster Computing
This map shows the geographic impact of research published in Cluster Computing. 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 Cluster Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cluster Computing more than expected).
- Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm (2018)
- Chatbot-based heathcare service with a knowledge base for cloud computing (2018)
- Distance learning techniques for ontology similarity measuring and ontology mapping (2017)
- An efficient load balancing system using adaptive dragonfly algorithm in cloud computing (2020)
- Construction of employee training program evaluation system of three exponential forecast based on sliding window (2018)
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.