Jacob Steinhardt
Impact in
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Topic Modeling
- Natural Language Processing Techniques
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 9
- Machine Learning and Algorithms 9
- Machine Learning and Data Classification 6
- Anomaly Detection Techniques and Applications 4
- Explainable Artificial Intelligence (XAI) 4
- Co-authors
- Dan Hendrycks (5 shared papers)Dawn Song (5 shared papers)Steven Basart (4 shared papers)Kevin Zhao (1 shared paper)Percy Liang (9 shared papers)Aditi Raghunathan (2 shared papers)Norman Mu (2 shared papers)Samyak Parajuli (1 shared paper)
- Journals
- The Electronic Journal of Combinatorics (2 papers)The International Journal of Robotics Research (1 paper)Information and Inference A Journal of the IMA (1 paper)The Annals of Statistics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomJamaica
In The Last Decade
Jacob Steinhardt
34 papers receiving 1.6k citations
Jacob Steinhardt's Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 696
- Health Informatics 28
- Signal Processing 89
- Statistics and Probability 62
Countries citing papers authored by Jacob Steinhardt
This map shows the geographic impact of Jacob Steinhardt'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 Jacob Steinhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Steinhardt more than expected).
Fields of papers citing papers by Jacob Steinhardt
This network shows the impact of papers produced by Jacob Steinhardt. 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 Jacob Steinhardt. The network helps show where Jacob Steinhardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Steinhardt, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Hit paper breakdown → | 2021 | 544 |
| 2 | Natural Adversarial Examples Hit paper breakdown → | 2021 | 408 |
| 3 | Measuring Massive Multitask Language Understanding Hit paper breakdown → | 2021 | 192 |
| 4 | Certified Defenses against Adversarial Examples | 2018 | 79 |
| 5 | 2017 | 73 | |
| 6 | 2021 | 62 | |
| 7 | 2018 | 53 | |
| 8 | 2022 | 50 | |
| 9 | 2012 | 42 | |
| 10 | 2018 | 31 | |
| 11 | A Benchmark for Anomaly Segmentation. | 2019 | 23 |
| 12 | Sever: A Robust Meta-Algorithm for Stochastic Optimization | 2018 | 17 |
| 13 | 2021 | 15 | |
| 14 | 2018 | 13 | |
| 15 | Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm | 2014 | 12 |
| 16 | 2021 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2010 | 8 |
About Jacob Steinhardt
Jacob Steinhardt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Computational Mechanics and Signal Processing, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (9 papers), Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Anomaly Detection Techniques and Applications (4 papers), Statistical Methods and Inference (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (696 citations), Health Informatics (28 citations), Signal Processing (89 citations) and Statistics and Probability (62 citations). Jacob Steinhardt has collaborated with scholars based in United States, United Kingdom and Jamaica. Frequent co-authors include Dan Hendrycks, Dawn Song, Steven Basart, Kevin Zhao, Percy Liang, Aditi Raghunathan, Norman Mu, Samyak Parajuli, Tyler Zhu and Saurav Kadavath. Their work appears in journals such as The Electronic Journal of Combinatorics, The International Journal of Robotics Research, Information and Inference A Journal of the IMA, The Annals of Statistics and Proceedings of the National Academy of Sciences.
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.