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Babak Salimi
- Author ID
- u18313
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- University of California San Diego
- Pagerank
- 0.1821911
- Overall Rank
- 331 | 98.47%
- Paper Count
- 25
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing 25 of 25 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 803 |
Interventional Fairness : Causal Database Repair for Algorithmic Fairness |
2019 |
SIGMOD |
0.00013836858 |
| 1,941 |
Interpretable Data-Based Explanations for Fairness Debugging |
2022 |
SIGMOD |
9.3297671e-05 |
| 2,315 |
Causal Relational Learning |
2020 |
SIGMOD |
8.6532142e-05 |
| 2,353 |
Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) |
2018 |
SIGMOD |
8.5902514e-05 |
| 3,063 |
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals |
2021 |
SIGMOD |
7.6912904e-05 |
| 4,566 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
6.5310568e-05 |
| 5,178 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research |
2022 |
SIGMOD |
6.2411759e-05 |
| 6,051 |
A Demonstration of Interactive Analysis of Performance Measurements with Viska |
2017 |
SIGMOD |
5.9029287e-05 |
| 6,183 |
Causal Data Integration |
2023 |
VLDB |
5.8587542e-05 |
| 6,480 |
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport |
2024 |
SIGMOD |
5.7717996e-05 |
| 6,490 |
HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries |
2018 |
VLDB |
5.7675055e-05 |
| 6,589 |
Mining Approximate Acyclic Schemes from Relations |
2020 |
SIGMOD |
5.7427998e-05 |
| 6,845 |
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification |
2022 |
SIGMOD |
5.6664339e-05 |
| 6,873 |
Consistent Range Approximation for Fair Predictive Modeling |
2023 |
VLDB |
5.6591328e-05 |
| 7,334 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher |
2022 |
SIGMOD |
5.5498988e-05 |
| 8,586 |
ZaliQL: Causal Inference from Observational Data at Scale |
2017 |
VLDB |
5.3084457e-05 |
| 9,231 |
Causal DAG Summarization |
2025 |
VLDB |
5.2056825e-05 |
| 10,688 |
Stress-Testing Causal Claims via Cardinality Repairs |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,891 |
Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications |
2026 |
VLDB |
4.9793485e-05 |
| 10,991 |
SubCure: A System for Stress-Testing Causal Conclusions Using Cardinality Repairs |
2026 |
VLDB |
4.9793485e-05 |
| 11,141 |
CausaLens: A System for Summarizing Causal DAGs |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,172 |
Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,368 |
Stress-Testing ML Pipelines with Adversarial Data Corruption |
2025 |
VLDB |
4.9793485e-05 |
| 13,776 |
Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis |
2021 |
VLDB |
- |
| 13,804 |
Demonstration of Inferring Causality from Relational Databases with CaRL |
2020 |
VLDB |
- |
Frequent Co-authors
Co-authored at least 5 papers.