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Matthias Boehm
- Author ID
- 1193
- ORCID
-
0000-0003-1344-3663
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Technical University of Berlin
- Pagerank
- 0.19492042
- Overall Rank
- 294 | 98.61%
- 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 |
| 415 |
SystemML: Declarative Machine Learning on Spark |
2016 |
VLDB |
0.0001888524 |
| 1,079 |
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML |
2014 |
VLDB |
0.00012258469 |
| 1,250 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011485301 |
| 1,644 |
Compressed Linear Algebra for Large-Scale Machine Learning |
2016 |
VLDB |
0.00010132912 |
| 1,756 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.8172465e-05 |
| 2,273 |
SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging |
2021 |
SIGMOD |
8.8230899e-05 |
| 3,205 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
7.6386536e-05 |
| 3,284 |
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning |
2017 |
CIDR |
7.5663058e-05 |
| 4,049 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
6.9369379e-05 |
| 4,240 |
LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems |
2021 |
SIGMOD |
6.809685e-05 |
| 4,409 |
MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions |
2019 |
SIGMOD |
6.7178579e-05 |
| 6,538 |
UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads |
2022 |
VLDB |
5.8477764e-05 |
| 7,160 |
DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines |
2022 |
CIDR |
5.6855887e-05 |
| 7,232 |
Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications |
2023 |
SIGMOD |
5.6659017e-05 |
| 7,687 |
ExDRa: Exploratory Data Science on Federated Raw Data |
2021 |
SIGMOD |
5.5671645e-05 |
| 8,494 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
5.4142129e-05 |
| 8,794 |
AWARE: Workload-aware, Redundancy-exploiting Linear Algebra |
2023 |
SIGMOD |
5.370464e-05 |
| 9,436 |
GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example |
2023 |
SIGMOD |
5.2692207e-05 |
| 10,589 |
Morphing-based Compression for Data-centric ML Pipelines |
2026 |
VLDB |
5.093636e-05 |
| 10,761 |
Fast and Scalable Data Transfer Across Data Systems |
2025 |
SIGMOD |
5.093636e-05 |
| 10,882 |
CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines |
2025 |
VLDB |
5.093636e-05 |
| 11,033 |
Enter the Warp: Fast and Adaptive Data Transfer with XDBC |
2025 |
VLDB |
5.093636e-05 |
| 12,398 |
Resiliency-Aware Data Management |
2011 |
VLDB |
5.093636e-05 |
| 13,303 |
Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines |
2025 |
SIGMOD |
- |
| 13,414 |
DEEM'22: Data Management for End-to-End Machine Learning |
2022 |
SIGMOD |
- |
Frequent Co-authors
Co-authored at least 5 papers.