Statistics for High-Dimensional Data: Methods, Theory and Applications
- Authors
- Sara van de Geer
In The Last Decade
doi.org/w48243617 →Countries where authors are citing Statistics for High-Dimensional Data: Methods, Theory and Applications
This map shows the geographic impact of Statistics for High-Dimensional Data: Methods, Theory and Applications. 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 Statistics for High-Dimensional Data: Methods, Theory and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics for High-Dimensional Data: Methods, Theory and Applications more than expected).
Fields of papers citing Statistics for High-Dimensional Data: Methods, Theory and Applications
This network shows the impact of Statistics for High-Dimensional Data: Methods, Theory and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Statistics for High-Dimensional Data: Methods, Theory and Applications.
About Statistics for High-Dimensional Data: Methods, Theory and Applications
This paper, published in 2011, received 764 indexed citations . Written by Sara van de Geer covering the research area of Statistics and Probability. It is primarily cited by scholars working on Statistics and Probability (421 citations), Artificial Intelligence (224 citations) and Computational Mechanics (148 citations).
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This paper is also available at doi.org/w48243617.