Use of the zero norm with linear models and kernel methods
Impact in
Classified as
In The Last Decade
doi.org/w417287 →Countries where authors are citing Use of the zero norm with linear models and kernel methods
This map shows the geographic impact of Use of the zero norm with linear models and kernel methods. 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 Use of the zero norm with linear models and kernel methods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Use of the zero norm with linear models and kernel methods more than expected).
Fields of papers citing Use of the zero norm with linear models and kernel methods
This network shows the impact of Use of the zero norm with linear models and kernel methods. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Use of the zero norm with linear models and kernel methods.
About Use of the zero norm with linear models and kernel methods
This paper, published in 2003, received 500 indexed citations . Written by Jason Weston, André Elisseeff and Bernhard Schölkopf covering the research area of Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Artificial Intelligence (238 citations), Computer Vision and Pattern Recognition (224 citations), Molecular Biology (116 citations), Computational Mechanics (115 citations) and Signal Processing (66 citations). Published in Journal of Machine Learning 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/w417287.