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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
- 0.18185593
- Overall Rank
- 334 | 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 all 25 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 804 |
Interventional Fairness : Causal Database Repair for Algorithmic Fairness |
2019 |
SIGMOD |
43 |
0.00013788292 |
| 1,954 |
Interpretable Data-Based Explanations for Fairness Debugging |
2022 |
SIGMOD |
17 |
9.2965173e-05 |
| 2,328 |
Causal Relational Learning |
2020 |
SIGMOD |
21 |
8.6206869e-05 |
| 2,361 |
Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) |
2018 |
SIGMOD |
23 |
8.5605216e-05 |
| 3,074 |
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals |
2021 |
SIGMOD |
17 |
7.6622293e-05 |
| 4,577 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
16 |
6.5111757e-05 |
| 5,201 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research |
2022 |
SIGMOD |
6 |
6.2175939e-05 |
| 6,067 |
A Demonstration of Interactive Analysis of Performance Measurements with Viska |
2017 |
SIGMOD |
5 |
5.8807251e-05 |
| 6,196 |
Causal Data Integration |
2023 |
VLDB |
11 |
5.8366172e-05 |
| 6,494 |
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport |
2024 |
SIGMOD |
8 |
5.7499912e-05 |
| 6,496 |
HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries |
2018 |
VLDB |
8 |
5.7489341e-05 |
| 6,600 |
Mining Approximate Acyclic Schemes from Relations |
2020 |
SIGMOD |
5 |
5.721104e-05 |
| 6,866 |
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification |
2022 |
SIGMOD |
6 |
5.6450236e-05 |
| 6,897 |
Consistent Range Approximation for Fair Predictive Modeling |
2023 |
VLDB |
7 |
5.6377501e-05 |
| 7,357 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher |
2022 |
SIGMOD |
2 |
5.5289288e-05 |
| 8,613 |
ZaliQL: Causal Inference from Observational Data at Scale |
2017 |
VLDB |
3 |
5.2883881e-05 |
| 9,265 |
Causal DAG Summarization |
2025 |
VLDB |
3 |
5.1860131e-05 |
| 10,760 |
Stress-Testing Causal Claims via Cardinality Repairs |
2026 |
SIGMOD |
1 |
4.9605343e-05 |
| 10,961 |
Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,061 |
SubCure: A System for Stress-Testing Causal Conclusions Using Cardinality Repairs |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,209 |
CausaLens: A System for Summarizing Causal DAGs |
2025 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,240 |
Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data |
2025 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,427 |
Stress-Testing ML Pipelines with Adversarial Data Corruption |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 13,821 |
Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis |
2021 |
VLDB |
0 |
- |
| 13,849 |
Demonstration of Inferring Causality from Relational Databases with CaRL |
2020 |
VLDB |
0 |
- |
Frequent Co-authors
Co-authored at least 5 papers.