Particle swarm optimization
Impact in
Classified as
- Journal
- Swarm Intelligence
In The Last Decade
doi.org/10.1007/s11721-007-0002-0 →Countries where authors are citing Particle swarm optimization
This map shows the geographic impact of Particle swarm optimization. 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 Particle swarm optimization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Particle swarm optimization more than expected).
Fields of papers citing Particle swarm optimization
This network shows the impact of Particle swarm optimization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Particle swarm optimization.
About Particle swarm optimization
This paper, published in 2007, received 15.1k indexed citations . Written by Riccardo Poli, James Kennedy and Tim Blackwell covering the research area of Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. It is primarily cited by scholars working on Artificial Intelligence (5.3k citations), Electrical and Electronic Engineering (3.5k citations), Control and Systems Engineering (3.0k citations), Computational Theory and Mathematics (2.2k citations) and Computer Vision and Pattern Recognition (1.5k citations). Published in Swarm Intelligence.
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.
This paper is also available at doi.org/10.1007/s11721-007-0002-0.