Holger Brunst

1.2k total citations
24 papers, 210 citations indexed

About

Holger Brunst is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Holger Brunst has authored 24 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 13 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Holger Brunst's work include Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (8 papers) and Cloud Computing and Resource Management (6 papers). Holger Brunst is often cited by papers focused on Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (8 papers) and Cloud Computing and Resource Management (6 papers). Holger Brunst collaborates with scholars based in Germany, United States and France. Holger Brunst's co-authors include Wolfgang E. Nagel, Andreas Knüpfer, Matthias Müller, Dieter Kranzlmüller, Matthias Lieber, Matthias Jurenz, Nick Johnson, Simon D. Smart, Matthias Weber and Guido Juckeland and has published in prestigious journals such as Future Generation Computer Systems, Concurrency and Computation Practice and Experience and International Journal of Computational Science and Engineering.

In The Last Decade

Holger Brunst

21 papers receiving 203 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 Brunst Germany 8 176 150 53 26 14 24 210
Andreas Knüpfer Germany 9 201 1.1× 164 1.1× 59 1.1× 14 0.5× 15 1.1× 30 237
Luiz DeRose United States 9 147 0.8× 130 0.9× 63 1.2× 34 1.3× 8 0.6× 25 189
Hans–Christian Hoppe Germany 6 194 1.1× 167 1.1× 66 1.2× 15 0.6× 20 1.4× 9 233
Judit Giménez Spain 9 179 1.0× 165 1.1× 73 1.4× 20 0.8× 15 1.1× 26 216
Kathryn O’Brien United States 6 303 1.7× 330 2.2× 38 0.7× 39 1.5× 13 0.9× 10 358
Chad Yoshikawa United States 5 324 1.8× 144 1.0× 76 1.4× 22 0.8× 13 0.9× 8 345
Eduardo R. Rodrigues Brazil 6 150 0.9× 83 0.6× 79 1.5× 10 0.4× 5 0.4× 15 183
Jackson Mayo United States 7 158 0.9× 96 0.6× 59 1.1× 34 1.3× 2 0.1× 14 180
Vincent Boudet France 5 186 1.1× 148 1.0× 47 0.9× 17 0.7× 11 0.8× 13 209
Richard Kaufmann United States 7 238 1.4× 136 0.9× 132 2.5× 53 2.0× 2 0.1× 11 281

Countries citing papers authored by Holger Brunst

Since Specialization
Citations

This map shows the geographic impact of Holger Brunst'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 Brunst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Brunst more than expected).

Fields of papers citing papers by Holger Brunst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Holger Brunst. 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 Brunst. The network helps show where Holger Brunst may publish in the future.

Co-authorship network of co-authors of Holger Brunst

This figure shows the co-authorship network connecting the top 25 collaborators of Holger Brunst. A scholar is included among the top collaborators of Holger Brunst 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 Brunst. Holger Brunst 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.
Williams, William & Holger Brunst. (2023). Parallel Performance Engineering using Score-P and Vampir. 121–125.
2.
Brunst, Holger, Sunita Chandrasekaran, Florina M. Ciorba, et al.. (2022). First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites. 675–684. 9 indexed citations
3.
Brunst, Holger, Tiago Quintino, Nick Johnson, et al.. (2019). An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications. Edinburgh Research Explorer. 1–19. 37 indexed citations
4.
Niethammer, Christoph, et al.. (2019). Tools for High Performance Computing 2017. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
5.
Wagner, Michael, et al.. (2017). Using adaptive runtime filtering to support an event‐based performance analysis. Concurrency and Computation Practice and Experience. 29(7).
6.
Ward, Adam S., et al.. (2017). High Performance Computing Enabled Simulation of the Food-Water-Energy System. 1–10. 3 indexed citations
7.
Bremer, Peer‐Timo, Bernd Mohr, Valerio Pascucci, et al.. (2015). Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
8.
9.
Wagner, Michael, et al.. (2014). Online Performance Analysis: An Event-Based Workflow Design towards Exascale. 839–846. 1 indexed citations
10.
Weber, Matthias, et al.. (2012). Trace File Comparison with a Hierarchical Sequence Alignment Algorithm. 247–254. 9 indexed citations
11.
Brunst, Holger. (2012). Tools for High Performance Computing 2011. DIAL (Catholic University of Leuven). 15 indexed citations
12.
Hackenberg, Daniel, Guido Juckeland, & Holger Brunst. (2011). Performance analysis of multi‐level parallelism: inter‐node, intra‐node and hardware accelerators. Concurrency and Computation Practice and Experience. 24(1). 62–72. 6 indexed citations
13.
Hackenberg, Daniel, Guido Juckeland, & Holger Brunst. (2010). High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications. 786–791. 4 indexed citations
14.
Brunst, Holger, Dieter Kranzlmüller, Matthias Müller, & Wolfgang E. Nagel. (2009). Tools for scalable parallel program analysis: Vampir NG, MARMOT, and DeWiz. International Journal of Computational Science and Engineering. 4(3). 149–149. 13 indexed citations
15.
Knüpfer, Andreas, Holger Brunst, & Wolfgang E. Nagel. (2005). High Performance Event Trace Visualization. 258–263. 16 indexed citations
16.
Brunst, Holger, Dieter Kranzlmüller, & Wolfgang E. Nagel. (2004). Tools for Scalable Parallel Program Analysis - Vampir VNG and DeWiz.. 37. 93–102. 19 indexed citations
17.
Brandes, Thomas, Michael Gerndt, Martin Schulz, et al.. (2004). Monitoring cache behavior on parallel SMP architectures and related programming tools. Future Generation Computer Systems. 21(8). 1298–1311. 7 indexed citations
18.
Brorsson, Mats, et al.. (2001). OpenMP Performance Analysis Approach in the INTONE Project. 2 indexed citations
19.
Pham, Congduc, Holger Brunst, & Serge Fdida. (1998). Conservative simulation of load-balanced routing in a large ATM network model. 28(1). 142–149. 4 indexed citations
20.
Pham, Congduc, Holger Brunst, & Serge Fdida. (1998). Conservative simulation of load-balanced routing in a large ATM network model. ACM SIGSIM Simulation Digest. 28(1). 142–149. 2 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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