Holger Pirk

Holger Pirk

Imperial College London

H-index: 15

Europe-United Kingdom

About Holger Pirk

Holger Pirk, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Data Management, High Performance Computing.

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

Geographical Representation Under a Single Nationwide District: The Case of the Netherlands

Collaborative Data Science using Scalable Homoiconicity

Wisent: An In-Memory Serialization Format for Leafy Trees

SonicJoin: Fast, Robust and Worst-case Optimal.

BOSS-An Architecture for Database Kernel Composition

MEng Individual Project

Scabbard: Single-node fault-tolerant stream processing

Homoiconicity For End-to-end Machine Learning with BOSS.

Holger Pirk Information

University

Position

___

Citations(all)

1310

Citations(since 2020)

694

Cited By

921

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

24

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Holger Pirk Skills & Research Interests

Data Management

High Performance Computing

Top articles of Holger Pirk

Title

Journal

Author(s)

Publication Date

Geographical Representation Under a Single Nationwide District: The Case of the Netherlands

Legislative Studies Quarterly

Marijn Nagtzaam

Tom Louwerse

2023/8

Collaborative Data Science using Scalable Homoiconicity

ACM SIGMOD Record

Holger Pirk

2023/1/25

Wisent: An In-Memory Serialization Format for Leafy Trees

Hubert Mohr-Daurat

Holger Pirk

2023

SonicJoin: Fast, Robust and Worst-case Optimal.

Ahmad Khazaie

Holger Pirk

2023

BOSS-An Architecture for Database Kernel Composition

Proceedings of the VLDB Endowment

Hubert Mohr-Daurat

Xuan Sun

Holger Pirk

2023/12/1

MEng Individual Project

Stacey Wu

Paul Kelly

Holger Pirk

2022/6/22

Scabbard: Single-node fault-tolerant stream processing

Proceedings of the VLDB Endowment

Georgios Theodorakis

Fotios Kounelis

Peter Pietzuch

Holger Pirk

2021/10/1

Homoiconicity For End-to-end Machine Learning with BOSS.

Hubert Mohr-Daurat

Holger Pirk

2021

Efficient Hard Real-Time Transaction Processing-Unachievable in Software.

Matheus Nerone

Stefan Manegold

Holger Pirk

2020

Lightsaber: Efficient window aggregation on multi-core processors

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data

Georgios Theodorakis

Alexandros Koliousis

Peter Pietzuch

Holger Pirk

2020

High-Performance Tree Indices: Locality matters more than one would think.

Thomas Kowalski

Fotios Kounelis

Holger Pirk

2020

SlideSide: A fast Incremental Stream Processing Algorithm for Multiple Queries.

Advances in Database Technology - EDBT 2020, 23rd International Conference on Extending Database Technology, Copenhagen, Denmark, March 30 - April 02, Proceedings

Georgios Theodorakis

Peter Pietzuch

Holger Pirk

2020/3/30

See List of Professors in Holger Pirk University(Imperial College London)

Co-Authors

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