Elias Bareinboim
- Statistics and Probability top 0.5%
- Advanced Causal Inference Techniques 27
- Statistical Methods and Inference 15
- Statistical Methods and Bayesian Inference 5
- Artificial Intelligence top 2%
- Bayesian Modeling and Causal Inference 36
- Machine Learning and Algorithms 21
- Reinforcement Learning in Robotics 8
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- Advanced Bandit Algorithms Research 8
- Health Informatics top 10%
- Safety Research top 5%
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- Health Systems, Economic Evaluations, Quality of Life 4
- Co-authors
- Judea PearlJin TianJunzhe ZhangSanghack LeeAndrew ForneyPaul HünermundKarthikeyan ShanmugamJiji Zhang
- Cited by
- Statistics and ProbabilityArtificial IntelligenceManagement Science and Operations Research
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Econometrics Journal (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesBrazilHong Kong
In The Last Decade
Elias Bareinboim
70 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Statistics and Probability 564
- Artificial Intelligence 683
- Management Science and Operations Research 184
- Health Informatics 18
- Safety Research 90
Countries citing papers authored by Elias Bareinboim
This map shows the geographic impact of Elias Bareinboim'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 Elias Bareinboim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elias Bareinboim more than expected).
Fields of papers citing papers by Elias Bareinboim
This network shows the impact of papers produced by Elias Bareinboim. 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 Elias Bareinboim. The network helps show where Elias Bareinboim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elias Bareinboim, 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 | 2024 | 1 | |
| 2 | Causal Identification with Matrix Equations | 2021 | 2 |
| 3 | Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning | 2021 | 2 |
| 4 | Learning Causal Effects via Weighted Empirical Risk Minimization | 2020 | 9 |
| 5 | Causal Effect Identifiability under Partial-Observability | 2020 | 3 |
| 6 | Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning | 2020 | 8 |
| 7 | Sensitivity Analysis of Linear Structural Causal Models | 2019 | 15 |
| 8 | Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions | 2019 | 13 |
| 9 | Causal Identification under Markov Equivalence: Completeness Results | 2019 | 5 |
| 10 | Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes | 2019 | 7 |
| 11 | Adjustment Criteria for Generalizing Experimental Findings | 2019 | 3 |
| 12 | General Identifiability with Arbitrary Surrogate Experiments | 2019 | 15 |
| 13 | Identification of Conditional Causal Effects under Markov Equivalence | 2019 | 2 |
| 14 | Structural causal bandits: where to intervene? | 2018 | 10 |
| 15 | Equality of Opportunity in Classification: A Causal Approach | 2018 | 16 |
| 16 | 2017 | 14 | |
| 17 | Counterfactual Data-Fusion for Online Reinforcement Learners. | 2017 | 17 |
| 18 | Experimental Design for Learning Causal Graphs with Latent Variables | 2017 | 12 |
| 19 | Transportability from Multiple Environments with Limited Experiments: Completeness Results | 2014 | 24 |
| 20 | Causal inference by surrogate experiments: z-identifiability | 2012 | 10 |
About Elias Bareinboim
Elias Bareinboim is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (36 papers), Advanced Causal Inference Techniques (27 papers), Machine Learning and Algorithms (21 papers), Statistical Methods and Inference (15 papers), Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (8 papers), Statistical Methods and Bayesian Inference (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Statistics and Probability (564 citations), Artificial Intelligence (683 citations) and Management Science and Operations Research (184 citations). Elias Bareinboim has collaborated with scholars based in United States, Brazil and Hong Kong. Frequent co-authors include Judea Pearl, Jin Tian, Junzhe Zhang, Sanghack Lee, Andrew Forney, Paul Hünermund, Karthikeyan Shanmugam, Jiji Zhang, Daniel Kumor and Bryant Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Econometrics Journal, Bioinformatics, ACM Transactions on Intelligent Systems and Technology and SHILAP Revista de lepidopterología.
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.