Consistency of the EKF-SLAM Algorithm
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doi.org/10.1109/iros.2006.281644 →Countries where authors are citing Consistency of the EKF-SLAM Algorithm
This map shows the geographic impact of Consistency of the EKF-SLAM Algorithm. 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 Consistency of the EKF-SLAM Algorithm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Consistency of the EKF-SLAM Algorithm more than expected).
Fields of papers citing Consistency of the EKF-SLAM Algorithm
This network shows the impact of Consistency of the EKF-SLAM Algorithm. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Consistency of the EKF-SLAM Algorithm.
About Consistency of the EKF-SLAM Algorithm
This paper, published in 2006, received 426 indexed citations . Written by Tim Bailey, Juan I. Nieto, José Guivant, Michael Charles Stevens and E. Nebot covering the research area of Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. It is primarily cited by scholars working on Aerospace Engineering (373 citations), Electrical and Electronic Engineering (191 citations), Computer Vision and Pattern Recognition (183 citations), Artificial Intelligence (116 citations) and Ocean Engineering (73 citations).
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/10.1109/iros.2006.281644.