Aaditya Ramdas
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Computational Mathematics top 10%
Papers in
-
- Statistical Methods and Inference 31
- Statistical Methods in Clinical Trials 26
- Statistical Methods and Bayesian Inference 12
- Advanced Statistical Methods and Models 11
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- Advanced Statistical Process Monitoring 12
- Co-authors
- Deanna NeedellRyan J. TibshiraniAnna MaRina Foygel BarberLeila WehbeBrian MurphyAlona FyshePartha Talukdar
- Journals
- Biometrika (5 papers)The Annals of Statistics (5 papers)Bernoulli (4 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 papers)Electronic Journal of Statistics (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Aaditya Ramdas
73 papers receiving 988 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Statistics and Probability 381
- Computational Mathematics 12
- Artificial Intelligence 414
- Statistics, Probability and Uncertainty 92
- Computational Mechanics 162
Countries citing papers authored by Aaditya Ramdas
This map shows the geographic impact of Aaditya Ramdas'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 Aaditya Ramdas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaditya Ramdas more than expected).
Fields of papers citing papers by Aaditya Ramdas
This network shows the impact of papers produced by Aaditya Ramdas. 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 Aaditya Ramdas. The network helps show where Aaditya Ramdas may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaditya Ramdas, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 36 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 22 | |
| 17 | 2021 | 2 | |
| 18 | Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning | 2016 | 10 |
| 19 | Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions. | 2014 | 4 |
| 20 | Optimal Stochastic Convex Optimization Through The Lens Of Active Learning | 2012 | 0 |
About Aaditya Ramdas
Aaditya Ramdas is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Artificial Intelligence and General Decision Sciences, having authored 77 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (31 papers), Statistical Methods in Clinical Trials (26 papers), Machine Learning and Algorithms (16 papers), Advanced Statistical Process Monitoring (12 papers), Statistical Methods and Bayesian Inference (12 papers), Advanced Bandit Algorithms Research (12 papers), Advanced Statistical Methods and Models (11 papers) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Statistics and Probability (381 citations), Computational Mathematics (12 citations), Artificial Intelligence (414 citations), Statistics, Probability and Uncertainty (92 citations) and Computational Mechanics (162 citations). Aaditya Ramdas has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Deanna Needell, Ryan J. Tibshirani, Anna Ma, Rina Foygel Barber, Leila Wehbe, Brian Murphy, Alona Fyshe, Partha Talukdar, Ruodu Wang and Tom M. Mitchell. Their work appears in journals such as Biometrika, The Annals of Statistics, Bernoulli, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Electronic Journal of 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.