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Sanjay Krishnan
- Author ID
- o0000-0001-6968-4090
- ORCID
-
0000-0001-6968-4090
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- University of Chicago
- Pagerank
- 0.22542429
- Overall Rank
- 250 | 98.85%
- Paper Count
- 27
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 27 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 405 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
104 |
0.00019020138 |
| 460 |
ActiveClean: Interactive Data Cleaning For Statistical Modeling |
2016 |
VLDB |
54 |
0.00017836918 |
| 989 |
Data Cleaning: Overview and Emerging Challenges |
2016 |
SIGMOD |
39 |
0.00012638176 |
| 1,039 |
Fine-grained Partitioning for Aggressive Data Skipping |
2014 |
SIGMOD |
41 |
0.00012349128 |
| 1,721 |
A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data |
2014 |
SIGMOD |
38 |
9.7821782e-05 |
| 2,393 |
DeepLens: Towards a Visual Data Management System |
2019 |
CIDR |
10 |
8.5162362e-05 |
| 3,223 |
How Large Language Models Will Disrupt Data Management |
2023 |
VLDB |
13 |
7.5043163e-05 |
| 4,984 |
PrivateClean: Data Cleaning and Differential Privacy |
2016 |
SIGMOD |
4 |
6.3150969e-05 |
| 5,001 |
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow |
2022 |
VLDB |
5 |
6.3079716e-05 |
| 5,868 |
ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning |
2016 |
SIGMOD |
6 |
5.948547e-05 |
| 6,198 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
11 |
5.8362492e-05 |
| 6,202 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
26 |
5.8347611e-05 |
| 6,700 |
Hierarchical Residual Encoding for Multiresolution Time Series Compression |
2023 |
SIGMOD |
5 |
5.6877938e-05 |
| 6,807 |
Intermittent Query Processing |
2019 |
VLDB |
11 |
5.661199e-05 |
| 6,835 |
CrocodileDB: Efficient Database Execution through Intelligent Deferment |
2020 |
CIDR |
6 |
5.6527238e-05 |
| 7,383 |
Optimizing Collections of Bloom Filters within a Space Budget |
2024 |
VLDB |
4 |
5.5222465e-05 |
| 7,741 |
Resource-efficient Shared Query Execution via Exploiting Time Slackness |
2021 |
SIGMOD |
3 |
5.4469162e-05 |
| 8,154 |
Thrifty Query Execution via Incrementability |
2020 |
SIGMOD |
6 |
5.3732833e-05 |
| 8,192 |
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints |
2020 |
SIGMOD |
5 |
5.3646457e-05 |
| 8,803 |
Wisteria: Nurturing Scalable Data Cleaning Infrastructure |
2015 |
VLDB |
8 |
5.2598307e-05 |
| 8,894 |
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views |
2015 |
VLDB |
10 |
5.2415191e-05 |
| 9,354 |
CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness |
2020 |
VLDB |
1 |
5.1751422e-05 |
| 9,420 |
A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets |
2017 |
VLDB |
2 |
5.1672232e-05 |
| 9,779 |
Declarative Data Serving: The Future of Machine Learning Inference on the Edge |
2021 |
VLDB |
2 |
5.115551e-05 |
| 10,259 |
Towards Resource-adaptive Query Execution in Cloud Native Databases |
2024 |
CIDR |
2 |
5.0381136e-05 |
| 11,492 |
Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 12,531 |
A Partitioning Framework for Aggressive Data Skipping |
2014 |
VLDB |
0 |
4.9605343e-05 |
Frequent Co-authors
Co-authored at least 5 papers.