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Hiren Patel
- Author ID
- 1654
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.12391563
- Overall Rank
- 505 | 97.60%
- Paper Count
- 15
Affiliation Timeline
-
Microsoft
Most frequent
2018 - 2023
| 15 papers
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing 15 of 15 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 1,468 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
0.00010686496 |
| 1,765 |
Selecting Subexpressions to Materialize at Datacenter Scale |
2018 |
VLDB |
9.8079546e-05 |
| 2,651 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
8.2918086e-05 |
| 2,822 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
8.0898536e-05 |
| 3,605 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
7.2640711e-05 |
| 3,614 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
7.2568185e-05 |
| 3,964 |
Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in SCOPE |
2019 |
VLDB |
6.9855158e-05 |
| 3,998 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
6.9676473e-05 |
| 6,121 |
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward |
2021 |
VLDB |
5.9688569e-05 |
| 7,619 |
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft |
2020 |
VLDB |
5.5810604e-05 |
| 8,040 |
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! |
2021 |
VLDB |
5.5018396e-05 |
| 8,193 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
5.4696038e-05 |
| 8,864 |
Pipemizer: An Optimizer for Analytics Data Pipelines |
2022 |
VLDB |
5.355022e-05 |
| 9,224 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
5.3035811e-05 |
| 9,854 |
SparkCruise: Handsfree Computation Reuse in Spark |
2019 |
VLDB |
5.2091816e-05 |
Frequent Co-authors
Co-authored at least 5 papers.