Holger Pirk

820 total citations
27 papers, 429 citations indexed

About

Holger Pirk is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Holger Pirk has authored 27 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 11 papers in Information Systems and 9 papers in Signal Processing. Recurrent topics in Holger Pirk's work include Advanced Database Systems and Queries (16 papers), Cloud Computing and Resource Management (11 papers) and Data Management and Algorithms (9 papers). Holger Pirk is often cited by papers focused on Advanced Database Systems and Queries (16 papers), Cloud Computing and Resource Management (11 papers) and Data Management and Algorithms (9 papers). Holger Pirk collaborates with scholars based in United Kingdom, Netherlands and United States. Holger Pirk's co-authors include Stefan Manegold, Samuel Madden, Martin Kersten, Matei Zaharia, Max Heimel, Volker Markl, Anil Shanbhag, Peter Pietzuch, Alexandros Koliousis and Eleni Petraki and has published in prestigious journals such as Proceedings of the VLDB Endowment, Spiral (Imperial College London) and Very Large Data Bases.

In The Last Decade

Holger Pirk

26 papers receiving 406 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Holger Pirk United Kingdom 11 361 184 134 130 95 27 429
John Cieslewicz United States 12 469 1.3× 273 1.5× 116 0.9× 133 1.0× 76 0.8× 13 508
Tobias Mühlbauer Germany 10 454 1.3× 236 1.3× 126 0.9× 86 0.7× 56 0.6× 16 491
Jana Giceva Germany 12 321 0.9× 180 1.0× 138 1.0× 50 0.4× 56 0.6× 29 374
Çagri Balkesen Switzerland 8 496 1.4× 224 1.2× 160 1.2× 141 1.1× 106 1.1× 12 550
Steffen Zeuch Germany 11 309 0.9× 172 0.9× 81 0.6× 80 0.6× 77 0.8× 34 393
Orestis Polychroniou United States 9 383 1.1× 151 0.8× 145 1.1× 123 0.9× 57 0.6× 13 429
Eric Sedlar United States 8 456 1.3× 160 0.9× 173 1.3× 188 1.4× 111 1.2× 12 551
Anil Shanbhag United States 10 289 0.8× 132 0.7× 92 0.7× 134 1.0× 78 0.8× 14 372
Berni Schiefer United States 7 305 0.8× 127 0.7× 79 0.6× 100 0.8× 33 0.3× 10 331
Mike Zwilling United Kingdom 5 534 1.5× 257 1.4× 159 1.2× 49 0.4× 33 0.3× 5 585

Countries citing papers authored by Holger Pirk

Since Specialization
Citations

This map shows the geographic impact of Holger Pirk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Holger Pirk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Pirk more than expected).

Fields of papers citing papers by Holger Pirk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Holger Pirk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Holger Pirk. The network helps show where Holger Pirk may publish in the future.

Co-authorship network of co-authors of Holger Pirk

This figure shows the co-authorship network connecting the top 25 collaborators of Holger Pirk. A scholar is included among the top collaborators of Holger Pirk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Holger Pirk. Holger Pirk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pirk, Holger, et al.. (2023). BOSS - An Architecture for Database Kernel Composition. Proceedings of the VLDB Endowment. 17(4). 877–890. 2 indexed citations
2.
Pietzuch, Peter, et al.. (2021). Scabbard. Proceedings of the VLDB Endowment. 15(2). 361–374. 7 indexed citations
3.
Kowalski, Thomas E., et al.. (2020). High-Performance Tree Indices: Locality matters more than one would think.. Very Large Data Bases. 1–7. 1 indexed citations
4.
Pietzuch, Peter, et al.. (2020). SlideSide: A fast Incremental Stream Processing Algorithm for Multiple Queries. Spiral (Imperial College London). 435–438. 3 indexed citations
5.
Koliousis, Alexandros, et al.. (2020). LightSaber: Efficient Window Aggregation on Multi-core Processors. 2505–2521. 18 indexed citations
6.
Pirk, Holger, Jana Giceva, & Peter Pietzuch. (2019). Thriving in the No Man's Land between compilers and databases. Spiral (Imperial College London). 1 indexed citations
7.
Pirk, Holger, et al.. (2019). Accelerating the Merge Phase of Sort-Merge Join. Spiral (Imperial College London). 10 indexed citations
8.
Koliousis, Alexandros, et al.. (2018). Hammer Slide: Work- and CPU-efficient Streaming Window Aggregation.. Spiral (Imperial College London). 34–41. 2 indexed citations
9.
Zeuch, Steffen, Holger Pirk, & Johann-Christoph Freytag. (2016). Non-invasive progressive optimization for in-memory databases. Proceedings of the VLDB Endowment. 9(14). 1659–1670. 13 indexed citations
10.
Pirk, Holger, et al.. (2016). What Makes a Good Physical plan?. 2149–2152. 3 indexed citations
11.
Pirk, Holger, et al.. (2016). Voodoo - a vector algebra for portable database performance on modern hardware. Proceedings of the VLDB Endowment. 9(14). 1707–1718. 82 indexed citations
12.
Pirk, Holger, Stefan Manegold, & Martin Kersten. (2014). Waste not… Efficient co-processing of relational data. UvA-DARE (University of Amsterdam). 508–519. 28 indexed citations
13.
Pirk, Holger, Eleni Petraki, Stratos Idreos, Stefan Manegold, & Martin Kersten. (2014). Database cracking. UvA-DARE (University of Amsterdam). 1–8. 27 indexed citations
14.
Heimel, Max, et al.. (2013). Hardware-oblivious parallelism for in-memory column-stores. Proceedings of the VLDB Endowment. 6(9). 709–720. 90 indexed citations
15.
Kontoes, Charalampos, Ioannis Papoutsis, Themistocles Herekakis, et al.. (2012). Wildfire monitoring via the integration of remote sensing with innovative information technologies. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 7916. 2 indexed citations
16.
Pirk, Holger. (2012). Efficient Cross-Device Query Processing. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 5 indexed citations
17.
Kontoes, Charalampos, Iphigenia Keramitsoglou, Ioannis Papoutsis, et al.. (2012). Operational wildfire monitoring and disaster management support using state-of-the-art EO and Information Technologies. 196–200. 2 indexed citations
18.
Pirk, Holger, Thibault Sellam, Stefan Manegold, & Martin Kersten. (2012). X-device query processing by bitwise distribution. UvA-DARE (University of Amsterdam). 48–54. 9 indexed citations
19.
Pirk, Holger, Stefan Manegold, & Martin Kersten. (2011). Accelerating foreign-key joins using asymmetric memory channels. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 27–35. 25 indexed citations
20.
Pirk, Holger, et al.. (2005). Werkzeuggestützte interaktive Formalisierung textueller Anwendungsfallbeschreibungen für den Systemtest.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 516–520. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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