Volker Markl

About Volker Markl

Volker Markl, With an exceptional h-index of 57 and a recent h-index of 36 (since 2020), a distinguished researcher at Technische Universität Berlin, specializes in the field of Database Systems, Large-scale Data Management, Big Data, Programming Models, Query Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

A survey on transactional stream processing

Assisted design of data science pipelines

Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies

Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings

Bridging the Gap: Complex Event Processing on Stream Processing Systems

Multi-Backend Zonal Statistics Execution with Raven

Correction to: Survey of window types for aggregation in stream processing systems

Benchmarking Stream Join Algorithms on GPUs: A Framework and Its Application to the State of the Art

Volker Markl Information

University

Position

___

Citations(all)

13264

Citations(since 2020)

6531

Cited By

9242

hIndex(all)

57

hIndex(since 2020)

36

i10Index(all)

176

i10Index(since 2020)

125

Email

University Profile Page

Google Scholar

Volker Markl Skills & Research Interests

Database Systems

Large-scale Data Management

Big Data

Programming Models

Query Processing

Top articles of Volker Markl

A survey on transactional stream processing

The VLDB Journal

2024/3

Assisted design of data science pipelines

The VLDB Journal

2024/2/13

Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies

PVLDB

2024

Eleni Tzirita Zacharatou
Eleni Tzirita Zacharatou

H-Index: 7

Volker Markl
Volker Markl

H-Index: 34

Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings

2024

Volker Markl
Volker Markl

H-Index: 34

Zoi Kaoudi
Zoi Kaoudi

H-Index: 12

Bridging the Gap: Complex Event Processing on Stream Processing Systems

2024

Volker Markl
Volker Markl

H-Index: 34

Multi-Backend Zonal Statistics Execution with Raven

2024

Correction to: Survey of window types for aggregation in stream processing systems

The VLDB Journal

2024/1

Volker Markl
Volker Markl

H-Index: 34

Benchmarking Stream Join Algorithms on GPUs: A Framework and Its Application to the State of the Art

2024

Clemens Lutz
Clemens Lutz

H-Index: 4

Volker Markl
Volker Markl

H-Index: 34

Exploiting Access Pattern Characteristics for Join Reordering

2023/6/18

Volker Markl
Volker Markl

H-Index: 34

P2D: A Transpiler Framework for Optimizing Data Science Pipelines

2023/6/18

TeeBench: Seamless Benchmarking in Trusted Execution Environments

2023/6/4

Morphstream: Adaptive scheduling for scalable transactional stream processing on multicores

2023

Artificial intelligence to advance Earth observation: a perspective

arXiv preprint arXiv:2305.08413

2023/5/15

Wayang AgoraEO Plugin: The Framework for Scalable EO Workflows

EGU General Assembly Conference Abstracts

2023/5

Cracking-Like Join for Trusted Execution Environments

Proceedings of the VLDB Endowment

2023/5/1

SheetReader: Efficient specialized spreadsheet parsing

Information Systems

2023/2/2

The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines

2023/4/3

In-situ cross-database query processing

2023/4/3

Incremental Stream Query Merging.

26th International Conference on Extending Database Technology (EDBT)

2023

Ankit Chaudhary
Ankit Chaudhary

H-Index: 2

Volker Markl
Volker Markl

H-Index: 34

Learn What Really Matters: A Learning-to-Rank Approach for ML-based Query Optimization

2023

Volker Markl
Volker Markl

H-Index: 34

Zoi Kaoudi
Zoi Kaoudi

H-Index: 12

See List of Professors in Volker Markl University(Technische Universität Berlin)

Co-Authors

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