Kernel Adaptive Filtering: A Comprehensive Introduction
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w28861486 →Countries where authors are citing Kernel Adaptive Filtering: A Comprehensive Introduction
This map shows the geographic impact of Kernel Adaptive Filtering: A Comprehensive Introduction. 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 Kernel Adaptive Filtering: A Comprehensive Introduction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kernel Adaptive Filtering: A Comprehensive Introduction more than expected).
Fields of papers citing Kernel Adaptive Filtering: A Comprehensive Introduction
This network shows the impact of Kernel Adaptive Filtering: A Comprehensive Introduction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Kernel Adaptive Filtering: A Comprehensive Introduction.
About Kernel Adaptive Filtering: A Comprehensive Introduction
This paper, published in 2010, received 391 indexed citations . Written by Weifeng Liu, José C. Prı́ncipe and Simon Haykin covering the research area of Artificial Intelligence and Computational Mechanics. It is primarily cited by scholars working on Computational Mechanics (232 citations), Signal Processing (217 citations) and Artificial Intelligence (95 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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/w28861486.