Jonathan Weed
Impact in
- Space and Planetary Science top 5%
- Applied Mathematics top 2%
- Geometric Analysis and Curvature Flows
- Mathematical Analysis and Transform Methods
Papers in
-
- Geometric Analysis and Curvature Flows 17
- Mathematical Analysis and Transform Methods 2
-
- Statistical Methods and Inference 6
- Probability and Statistical Research 5
- Random Matrices and Applications 4
- Co-authors
- Francis Bach (1 shared paper)Philippe Rigollet (6 shared papers)Afonso S. Bandeira (3 shared papers)Amelia Perry (2 shared papers)Damian H. Evans (3 shared papers)Amit Singer (1 shared paper)Hongbin Chen (2 shared papers)Yury Polyanskiy (2 shared papers)
- Journals
- The Annals of Statistics (3 papers)Bernoulli (3 papers)IEEE Transactions on Information Theory (3 papers)Random Structures and Algorithms (2 papers)Science Advances (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Jonathan Weed
29 papers receiving 576 citations
Jonathan Weed's Hit Papers
Peers
Comparison fields: 5 of 60
- Space and Planetary Science 27
- Applied Mathematics 260
- Structural Biology 29
- Statistics and Probability 128
- Computational Mathematics 4
Countries citing papers authored by Jonathan Weed
This map shows the geographic impact of Jonathan Weed'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 Jonathan Weed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Weed more than expected).
Fields of papers citing papers by Jonathan Weed
This network shows the impact of papers produced by Jonathan Weed. 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 Jonathan Weed. The network helps show where Jonathan Weed may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Weed, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance Hit paper breakdown → | 2019 | 142 |
| 2 | 2019 | 53 | |
| 3 | 2018 | 35 | |
| 4 | 2022 | 31 | |
| 5 | 2018 | 30 | |
| 6 | 2019 | 29 | |
| 7 | 2020 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 21 | |
| 12 | 2024 | 21 | |
| 13 | 2022 | 20 | |
| 14 | Early-Learning Regularization Prevents Memorization of Noisy Labels | 2020 | 18 |
| 15 | 2024 | 15 | |
| 16 | 2021 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2021 | 10 | |
| 20 | 2017 | 9 |
About Jonathan Weed
Jonathan Weed is a scholar working on Applied Mathematics, Statistics and Probability, Space and Planetary Science, Discrete Mathematics and Combinatorics and Computational Mechanics, having authored 34 papers that have together received 608 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (17 papers), Sparse and Compressive Sensing Techniques (6 papers), Statistical Methods and Inference (6 papers), Probability and Statistical Research (5 papers), Random Matrices and Applications (4 papers), Archaeological Research and Protection (3 papers), Limits and Structures in Graph Theory (3 papers) and Mathematical Analysis and Transform Methods (2 papers). The work is most often cited by research in Space and Planetary Science (27 citations), Applied Mathematics (260 citations), Structural Biology (29 citations), Statistics and Probability (128 citations) and Computational Mathematics (4 citations). Jonathan Weed has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Francis Bach, Philippe Rigollet, Afonso S. Bandeira, Amelia Perry, Damian H. Evans, Amit Singer, Hongbin Chen, Yury Polyanskiy, Ziv Goldfeld and Kristjan H. Greenewald. Their work appears in journals such as The Annals of Statistics, Bernoulli, IEEE Transactions on Information Theory, Random Structures and Algorithms and Science Advances.
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.