Noah Simon
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 26
- Statistical Methods in Clinical Trials 11
- Advanced Causal Inference Techniques 7
- Statistical Methods and Bayesian Inference 7
- Advanced Statistical Methods and Models 6
- Cancer Research top 5%
- Artificial Intelligence top 2%
- Bayesian Methods and Mixture Models 7
- Gaussian Processes and Bayesian Inference 6
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- Cystic Fibrosis Research Advances 5
- Molecular Biology top 10%
- Co-authors
- Trevor HastieRobert TibshiraniRob TibshiraniJ. FriedmanJerome H. FriedmanDaniela WittenRichard H. SimonCornelia L. Dekker
- Journals
- Journal of Computational and Graphical Statistics (6 papers)The Annals of Applied Statistics (5 papers)Biostatistics (5 papers)
- Partner nations
- United StatesFranceSouth Africa
In The Last Decade
Noah Simon
74 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Statistics and Probability 990
- Cancer Research 509
- Artificial Intelligence 678
- Pulmonary and Respiratory Medicine 602
- Molecular Biology 1.2k
Countries citing papers authored by Noah Simon
This map shows the geographic impact of Noah Simon'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 Noah Simon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Simon more than expected).
Fields of papers citing papers by Noah Simon
This network shows the impact of papers produced by Noah Simon. 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 Noah Simon. The network helps show where Noah Simon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noah Simon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 40 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 54 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 27 | |
| 16 | Nonparametric variable importance using an augmented neural network with multi-task learning | 2018 | 2 |
| 17 | 2017 | 13 | |
| 18 | 2013 | 131 | |
| 19 | A lasso for hierarchical testing of interactions | 2012 | 4 |
| 20 | 2011 | 85 |
About Noah Simon
Noah Simon is a scholar working on Statistics and Probability, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Immunology and Endocrine and Autonomic Systems, having authored 77 papers that have together received 4.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (26 papers), Statistical Methods in Clinical Trials (11 papers), Bayesian Methods and Mixture Models (7 papers), Advanced Causal Inference Techniques (7 papers), Statistical Methods and Bayesian Inference (7 papers), Advanced Statistical Methods and Models (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Cystic Fibrosis Research Advances (5 papers). The work is most often cited by research in Statistics and Probability (990 citations), Cancer Research (509 citations), Artificial Intelligence (678 citations), Pulmonary and Respiratory Medicine (602 citations) and Molecular Biology (1.2k citations). Noah Simon has collaborated with scholars based in United States, France and South Africa. Frequent co-authors include Trevor Hastie, Robert Tibshirani, Rob Tibshirani, J. Friedman, Jerome H. Friedman, Daniela Witten, Richard H. Simon, Cornelia L. Dekker, Vladimir Jojic and Boris P. Hejblum. Their work appears in journals such as Journal of Computational and Graphical Statistics, The Annals of Applied Statistics, Biostatistics, Statistica Sinica and Journal of Cystic Fibrosis.
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.