Daniela Witten
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods and Inference
- Statistical Methods and Applications
- Computational Mathematics top 1%
Papers in
-
- Statistical Methods and Inference 60
- Statistical Methods and Applications 31
- Advanced Statistical Methods and Models 6
-
- Machine Learning and Algorithms 11
- Advanced Clustering Algorithms Research 8
- Co-authors
- Robert John Tibshirani (55 shared papers)Trevor J. Hastie (43 shared papers)Gareth M. James (39 shared papers)Gregory M. Cooper (4 shared papers)Jay Shendure (4 shared papers)Martin Kircher (3 shared papers)Brian J. O’Roak (1 shared paper)Philipp Rentzsch (1 shared paper)
- Journals
- Journal of the American Statistical Association (8 papers)Biostatistics (7 papers)Journal of Computational and Graphical Statistics (6 papers)Biometrika (5 papers)The Annals of Applied Statistics (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniela Witten
132 papers receiving 28.7k citations
Daniela Witten's Hit Papers
Peers
Comparison fields: 5 of 238
- Statistics and Probability 2.8k
- Computational Mathematics 135
- Genetics 4.4k
- Cancer Research 1k
- Artificial Intelligence 2.5k
Countries citing papers authored by Daniela Witten
This map shows the geographic impact of Daniela Witten's research. 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 Daniela Witten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Witten more than expected).
Fields of papers citing papers by Daniela Witten
This network shows the impact of papers produced by Daniela Witten. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Witten. The network helps show where Daniela Witten may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Witten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Introduction to Statistical Learning Hit paper breakdown → | 2013 | 8946 |
| 2 | A general framework for estimating the relative pathogenicity of human genetic variants Hit paper breakdown → | 2014 | 4773 |
| 3 | CADD: predicting the deleteriousness of variants throughout the human genome Hit paper breakdown → | 2018 | 2576 |
| 4 | An Introduction to Statistical Learning: with Applications in R Hit paper breakdown → | 2018 | 1901 |
| 5 | A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis Hit paper breakdown → | 2009 | 1086 |
| 6 | An Introduction to Statistical Learning Hit paper breakdown → | 2021 | 1047 |
| 7 | The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes Hit paper breakdown → | 2013 | 578 |
| 8 | An Introduction to Statistical Learning Hit paper breakdown → | 2023 | 495 |
| 9 | 2010 | 481 | |
| 10 | 2011 | 423 | |
| 11 | 2009 | 413 | |
| 12 | 2012 | 383 | |
| 13 | 2009 | 314 | |
| 14 | 2011 | 300 | |
| 15 | 2012 | 272 | |
| 16 | 2011 | 268 | |
| 17 | 2020 | 240 | |
| 18 | 2011 | 210 | |
| 19 | 2019 | 208 | |
| 20 | 2012 | 206 |
About Daniela Witten
Daniela Witten is a scholar working on Statistics and Probability, Artificial Intelligence, Cognitive Neuroscience, Molecular Biology and Cancer Research, having authored 136 papers that have together received 29.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (60 papers), Statistical Methods and Applications (31 papers), Gene expression and cancer classification (11 papers), Machine Learning and Algorithms (11 papers), Advanced Clustering Algorithms Research (8 papers), Advanced Statistical Methods and Models (6 papers), Data Mining and Machine Learning Applications (4 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Statistics and Probability (2.8k citations), Computational Mathematics (135 citations), Genetics (4.4k citations), Cancer Research (1k citations) and Artificial Intelligence (2.5k citations). Daniela Witten has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert John Tibshirani, Trevor J. Hastie, Gareth M. James, Gregory M. Cooper, Jay Shendure, Martin Kircher, Brian J. O’Roak, Philipp Rentzsch, Patrick J. Danaher and Pei Wang. Their work appears in journals such as Journal of the American Statistical Association, Biostatistics, Journal of Computational and Graphical Statistics, Biometrika and The Annals of Applied Statistics.
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.