Particle filtering
- Journal
- IEEE Signal Processing Magazine
In The Last Decade
doi.org/w3478954 →Countries where authors are citing Particle filtering
This map shows the geographic impact of Particle filtering. 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 filtering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Particle filtering more than expected).
Fields of papers citing Particle filtering
This network shows the impact of Particle filtering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Particle filtering.
About Particle filtering
This paper, published in 2003, received 517 indexed citations . Written by Petar M. Djurić, J.H. Kotecha, Yufei Huang, Tadesse Ghirmai, Mónica F. Bugallo and Joaquı́n Mı́guez covering the research area of Statistics and Probability, Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Artificial Intelligence (309 citations), Computer Networks and Communications (164 citations) and Electrical and Electronic Engineering (157 citations). Published in IEEE Signal Processing Magazine.
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/w3478954.