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Matteo Interlandi
- Author ID
- 1537
- ORCID
-
-
- Links
-
(found by gpt-5.2 on feb 8th, 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.18879509
- Overall Rank
- 293 | 98.60%
- 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 |
| 1,686 |
QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques |
2013 |
VLDB |
0.0001090887 |
| 2,030 |
Titian: Data Provenance Support in Spark |
2016 |
VLDB |
9.734332e-05 |
| 2,809 |
Extending Relational Query Processing with ML Inference |
2020 |
CIDR |
8.0869552e-05 |
| 3,207 |
Big Data Analytics with Datalog Queries on Spark |
2016 |
SIGMOD |
7.3847098e-05 |
| 3,260 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3091312e-05 |
| 3,409 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
7.1240791e-05 |
| 3,866 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
6.6795497e-05 |
| 4,687 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
5.9915268e-05 |
| 4,700 |
Tensors: An abstraction for general data processing |
2021 |
VLDB |
5.9810592e-05 |
| 5,108 |
Debugging Big Data Analytics in Spark with BigDebug |
2017 |
SIGMOD |
5.6872497e-05 |
| 5,571 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
5.4279553e-05 |
| 5,575 |
Optimizing Data Pipelines for Machine Learning in Feature Stores |
2023 |
VLDB |
5.4253204e-05 |
| 5,994 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
5.2367998e-05 |
| 6,068 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
5.2240241e-05 |
| 6,327 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
5.1035567e-05 |
| 7,652 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
4.6831938e-05 |
| 7,717 |
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model |
2022 |
VLDB |
4.6641687e-05 |
| 7,917 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
4.6129625e-05 |
| 8,378 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
4.5275731e-05 |
| 9,138 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
4.3842765e-05 |
| 9,441 |
Transforming ML Predictive Pipelines into SQL with MASQ |
2021 |
SIGMOD |
4.3389137e-05 |
| 9,694 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
4.2984337e-05 |
| 10,253 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
4.1905499e-05 |
| 10,293 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
4.1905499e-05 |
| 10,755 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
4.1905499e-05 |
Frequent Co-authors
Co-authored at least 5 papers.