Daniel Hackenberg

1.6k total citations
32 papers, 820 citations indexed

About

Daniel Hackenberg is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Hackenberg has authored 32 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hardware and Architecture, 19 papers in Computer Networks and Communications and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Hackenberg's work include Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (13 papers) and Low-power high-performance VLSI design (10 papers). Daniel Hackenberg is often cited by papers focused on Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (13 papers) and Low-power high-performance VLSI design (10 papers). Daniel Hackenberg collaborates with scholars based in Germany, United States and Norway. Daniel Hackenberg's co-authors include Daniel Molka, Robert Schöne, Wolfgang E. Nagel, Thomas Ilsche, Matthias Müller, Joseph Schuchart, R. Geyer, Yiannis Georgiou, M. Simon and Andreas Knüpfer and has published in prestigious journals such as Journal of the Association for Information Systems, Concurrency and Computation Practice and Experience and Computer Science - Research and Development.

In The Last Decade

Daniel Hackenberg

31 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Hackenberg Germany 15 632 587 290 239 75 32 820
Daniel Molka Germany 14 582 0.9× 555 0.9× 267 0.9× 222 0.9× 79 1.1× 21 766
Robert Schöne Germany 14 589 0.9× 537 0.9× 286 1.0× 234 1.0× 69 0.9× 34 774
Jeffrey Stuecheli United States 14 652 1.0× 637 1.1× 143 0.5× 264 1.1× 65 0.9× 17 808
Daniel Lustig United States 16 744 1.2× 647 1.1× 227 0.8× 145 0.6× 145 1.9× 35 872
Lifan Xu United States 8 500 0.8× 463 0.8× 141 0.5× 177 0.7× 72 1.0× 8 652
Valentina Salapura United States 14 368 0.6× 495 0.8× 214 0.7× 120 0.5× 110 1.5× 47 681
Wim Heirman Belgium 15 1.2k 1.8× 958 1.6× 175 0.6× 541 2.3× 103 1.4× 66 1.4k
Jamison D. Collins United States 20 1.3k 2.1× 1.1k 1.9× 291 1.0× 289 1.2× 55 0.7× 37 1.4k
Timo Schneider United States 16 462 0.7× 572 1.0× 183 0.6× 89 0.4× 63 0.8× 39 740
Onur Kayıran United States 19 1.3k 2.0× 1.2k 2.1× 378 1.3× 334 1.4× 76 1.0× 34 1.4k

Countries citing papers authored by Daniel Hackenberg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hackenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hackenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hackenberg. A scholar is included among the top collaborators of Daniel Hackenberg 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 Daniel Hackenberg. Daniel Hackenberg 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.
Schöne, Robert, et al.. (2024). Energy Efficiency Features of the Intel Alder Lake Architecture. 95–106. 1 indexed citations
2.
Hackenberg, Daniel, et al.. (2024). Calculating User-Centric Carbon Footprints for HPC. 26–35. 2 indexed citations
3.
Ilsche, Thomas, et al.. (2019). MetricQ: A Scalable Infrastructure for Processing High-Resolution Time Series Data. 7–12. 6 indexed citations
4.
Molka, Daniel, Robert Schöne, Daniel Hackenberg, & Wolfgang E. Nagel. (2017). Detecting Memory-Boundedness with Hardware Performance Counters. 27–38. 22 indexed citations
5.
Schöne, Robert, et al.. (2016). Software controlled clock modulation for energy efficiency optimization on Intel processors. 69–76. 4 indexed citations
6.
Gewald, Heiko, et al.. (2015). Business Strategy, IT Management and Business Value – a tripartite interaction?. Journal of the Association for Information Systems.
7.
Hackenberg, Daniel, Robert Schöne, Thomas Ilsche, et al.. (2015). An Energy Efficiency Feature Survey of the Intel Haswell Processor. 896–904. 129 indexed citations
8.
Molka, Daniel, Daniel Hackenberg, Robert Schöne, & Wolfgang E. Nagel. (2015). Cache Coherence Protocol and Memory Performance of the Intel Haswell-EP Architecture. 739–748. 31 indexed citations
9.
Ilsche, Thomas, et al.. (2015). Power measurements for compute nodes: Improving sampling rates, granularity and accuracy. 1–8. 14 indexed citations
10.
Scogland, Tom, et al.. (2015). Node variability in large-scale power measurements. 1–11. 15 indexed citations
11.
Schöne, Robert, Joseph Schuchart, Thomas Ilsche, & Daniel Hackenberg. (2014). Scalable Tools for Non-Intrusive Performance Debugging of Parallel Linux Workloads. Qucosa (Saxon State and University Library Dresden). 1 indexed citations
12.
Hackenberg, Daniel. (2014). The Plenum concept: Improving scalability, security, and efficiency for data centers. 1137–1144. 3 indexed citations
13.
Hackenberg, Daniel, et al.. (2013). Introducing FIRESTARTER: A processor stress test utility. 1–9. 31 indexed citations
14.
Schöne, Robert, Daniel Hackenberg, & Daniel Molka. (2012). Memory performance at reduced CPU clock speeds: an analysis of current x86_64 processors. 9–9. 29 indexed citations
15.
Kluge, Michael, Daniel Hackenberg, & Wolfgang E. Nagel. (2012). Collecting Distributed Performance Data with Dataheap: Generating and Exploiting a Holistic System View. Procedia Computer Science. 9. 1969–1978. 9 indexed citations
16.
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
17.
Molka, Daniel, et al.. (2011). Flexible workload generation for HPC cluster efficiency benchmarking. Computer Science - Research and Development. 27(4). 235–243. 16 indexed citations
18.
Hackenberg, Daniel, Guido Juckeland, & Holger Brunst. (2010). High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications. 786–791. 4 indexed citations
19.
Molka, Daniel, Daniel Hackenberg, Robert Schöne, & Matthias Müller. (2010). Characterizing the energy consumption of data transfers and arithmetic operations on x86−64 processors. 123–133. 46 indexed citations
20.
Molka, Daniel, Daniel Hackenberg, Robert Schöne, & Matthias Müller. (2009). Memory Performance and Cache Coherency Effects on an Intel Nehalem Multiprocessor System. 261–270. 138 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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