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Matteo Interlandi
- Author ID
- 1534
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.20178587
- Overall Rank
- 285 | 98.65%
- 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 |
| 1,617 |
Titian: Data Provenance Support in Spark |
2016 |
VLDB |
0.00010209397 |
| 1,922 |
QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques |
2013 |
VLDB |
9.479259e-05 |
| 2,293 |
Extending Relational Query Processing with ML Inference |
2020 |
CIDR |
8.7949378e-05 |
| 2,594 |
Big Data Analytics with Datalog Queries on Spark |
2016 |
SIGMOD |
8.3646367e-05 |
| 2,823 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
8.0893814e-05 |
| 2,865 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
8.0180243e-05 |
| 3,614 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
7.2568185e-05 |
| 3,874 |
Tensors: An abstraction for general data processing |
2021 |
VLDB |
7.0561161e-05 |
| 3,998 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
6.9676473e-05 |
| 5,037 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
6.3914026e-05 |
| 5,059 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
6.3807509e-05 |
| 5,422 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
6.2245373e-05 |
| 5,570 |
Debugging Big Data Analytics in Spark with BigDebug |
2017 |
SIGMOD |
6.1693312e-05 |
| 5,704 |
Optimizing Data Pipelines for Machine Learning in Feature Stores |
2023 |
VLDB |
6.1146371e-05 |
| 5,953 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
6.0309873e-05 |
| 7,661 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
5.5736026e-05 |
| 7,746 |
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model |
2022 |
VLDB |
5.5531058e-05 |
| 7,959 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
5.5181056e-05 |
| 8,193 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
5.4696038e-05 |
| 9,224 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
5.3035811e-05 |
| 9,649 |
Transforming ML Predictive Pipelines into SQL with MASQ |
2021 |
SIGMOD |
5.2430158e-05 |
| 9,835 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
5.2112879e-05 |
| 10,541 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
5.093636e-05 |
| 10,580 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
5.093636e-05 |
| 10,985 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
5.093636e-05 |
Frequent Co-authors
Co-authored at least 5 papers.