Back to authors
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
- 0.22545869
- 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 |
| 406 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
104 |
0.00019050182 |
| 483 |
ActiveClean: Interactive Data Cleaning For Statistical Modeling |
2016 |
VLDB |
53 |
0.00017584249 |
| 1,036 |
Fine-grained Partitioning for Aggressive Data Skipping |
2014 |
SIGMOD |
41 |
0.00012372946 |
| 1,044 |
Data Cleaning: Overview and Emerging Challenges |
2016 |
SIGMOD |
37 |
0.00012329478 |
| 1,722 |
A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data |
2014 |
SIGMOD |
38 |
9.7921604e-05 |
| 2,385 |
DeepLens: Towards a Visual Data Management System |
2019 |
CIDR |
10 |
8.5393531e-05 |
| 3,236 |
How Large Language Models Will Disrupt Data Management |
2023 |
VLDB |
13 |
7.4996147e-05 |
| 4,962 |
PrivateClean: Data Cleaning and Differential Privacy |
2016 |
SIGMOD |
4 |
6.3360478e-05 |
| 4,976 |
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow |
2022 |
VLDB |
5 |
6.3288989e-05 |
| 5,882 |
ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning |
2016 |
SIGMOD |
6 |
5.9560519e-05 |
| 6,192 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
26 |
5.8540507e-05 |
| 6,202 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
11 |
5.8494367e-05 |
| 6,686 |
Hierarchical Residual Encoding for Multiresolution Time Series Compression |
2023 |
SIGMOD |
5 |
5.7066636e-05 |
| 6,801 |
Intermittent Query Processing |
2019 |
VLDB |
11 |
5.6776677e-05 |
| 6,820 |
CrocodileDB: Efficient Database Execution through Intelligent Deferment |
2020 |
CIDR |
6 |
5.6708756e-05 |
| 7,362 |
Optimizing Collections of Bloom Filters within a Space Budget |
2024 |
VLDB |
4 |
5.540567e-05 |
| 7,728 |
Resource-efficient Shared Query Execution via Exploiting Time Slackness |
2021 |
SIGMOD |
3 |
5.4649863e-05 |
| 8,137 |
Thrifty Query Execution via Incrementability |
2020 |
SIGMOD |
6 |
5.391109e-05 |
| 8,172 |
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints |
2020 |
SIGMOD |
5 |
5.3824434e-05 |
| 8,785 |
Wisteria: Nurturing Scalable Data Cleaning Infrastructure |
2015 |
VLDB |
8 |
5.2767488e-05 |
| 8,876 |
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views |
2015 |
VLDB |
10 |
5.2587627e-05 |
| 9,329 |
CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness |
2020 |
VLDB |
1 |
5.1921674e-05 |
| 9,394 |
A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets |
2017 |
VLDB |
2 |
5.1843659e-05 |
| 9,747 |
Declarative Data Serving: The Future of Machine Learning Inference on the Edge |
2021 |
VLDB |
2 |
5.1325223e-05 |
| 10,228 |
Towards Resource-adaptive Query Execution in Cloud Native Databases |
2024 |
CIDR |
2 |
5.054828e-05 |
| 11,440 |
Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 12,488 |
A Partitioning Framework for Aggressive Data Skipping |
2014 |
VLDB |
0 |
4.9769913e-05 |
Frequent Co-authors
Co-authored at least 5 papers.