Nathan Kallus
Impact in
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- Risk and Portfolio Optimization
- Advanced Bandit Algorithms Research
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Fuzzy Systems and Optimization
Papers in
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- Advanced Causal Inference Techniques 20
- Statistical Methods and Inference 13
- Statistical Methods in Clinical Trials 7
- Statistical Methods and Bayesian Inference 5
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- Reinforcement Learning in Robotics 9
- Co-authors
- Dimitris Bertsimas (9 shared papers)Vishal Gupta (2 shared papers)Xiaojie Mao (8 shared papers)Angela Zhou (6 shared papers)Masatoshi Uehara (9 shared papers)Ying Daisy Zhuo (1 shared paper)Alexander Weinstein (1 shared paper)Mac Johnson (1 shared paper)
- Journals
- Management Science (4 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 papers)Operations Research (3 papers)Production and Operations Management (2 papers)Mathematical Programming (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Nathan Kallus
46 papers receiving 936 citations
Nathan Kallus's Hit Papers
Peers
Comparison fields: 5 of 118
- Management Science and Operations Research 418
- Statistics and Probability 220
- Management Information Systems 131
- Statistics, Probability and Uncertainty 78
- Industrial and Manufacturing Engineering 76
Countries citing papers authored by Nathan Kallus
This map shows the geographic impact of Nathan Kallus'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 Nathan Kallus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Kallus more than expected).
Fields of papers citing papers by Nathan Kallus
This network shows the impact of papers produced by Nathan Kallus. 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 Nathan Kallus. The network helps show where Nathan Kallus may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Kallus, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Data-driven robust optimization Hit paper breakdown → | 2017 | 365 |
| 2 | 2017 | 157 | |
| 3 | 2016 | 68 | |
| 4 | 2015 | 42 | |
| 5 | 2021 | 39 | |
| 6 | 2017 | 30 | |
| 7 | 2020 | 27 | |
| 8 | 2022 | 27 | |
| 9 | 2016 | 26 | |
| 10 | 2014 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 17 | |
| 14 | 2018 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 8 | |
| 18 | Efficiently Breaking the Curse of Horizon: Double Reinforcement Learning in Infinite-Horizon Processes. | 2019 | 7 |
| 19 | Deep Generalized Method of Moments for Instrumental Variable Analysis | 2019 | 7 |
| 20 | 2021 | 5 |
About Nathan Kallus
Nathan Kallus is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics and Information Systems, having authored 52 papers that have together received 975 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (20 papers), Statistical Methods and Inference (13 papers), Advanced Bandit Algorithms Research (9 papers), Reinforcement Learning in Robotics (9 papers), Statistical Methods in Clinical Trials (7 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Management Science and Operations Research (418 citations), Statistics and Probability (220 citations), Management Information Systems (131 citations), Statistics, Probability and Uncertainty (78 citations) and Industrial and Manufacturing Engineering (76 citations). Nathan Kallus has collaborated with scholars based in United States and China. Frequent co-authors include Dimitris Bertsimas, Vishal Gupta, Xiaojie Mao, Angela Zhou, Masatoshi Uehara, Ying Daisy Zhuo, Alexander Weinstein, Mac Johnson, Amjad Hussain and Richard A. Baum. Their work appears in journals such as Management Science, Journal of the Royal Statistical Society Series B (Statistical Methodology), Operations Research, Production and Operations Management and Mathematical Programming.
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.