Guido Juckeland

868 total citations
33 papers, 341 citations indexed

About

Guido Juckeland is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Guido Juckeland has authored 33 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Hardware and Architecture and 5 papers in Information Systems. Recurrent topics in Guido Juckeland's work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (11 papers) and Distributed and Parallel Computing Systems (10 papers). Guido Juckeland is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (11 papers) and Distributed and Parallel Computing Systems (10 papers). Guido Juckeland collaborates with scholars based in Germany, United States and Switzerland. Guido Juckeland's co-authors include Robert Dietrich, U. Schramm, Michael Bußmann, Alexander Debus, T. E. Cowan, T. Kluge, R. Sauerbrey, Wolfgang Hönig, Wolfgang E. Nagel and Nicolas Biais and has published in prestigious journals such as Scientific Reports, The Journal of Physical Chemistry Letters and Computer Physics Communications.

In The Last Decade

Guido Juckeland

31 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guido Juckeland Germany 8 132 118 100 79 47 33 341
Miwako Tsuji Japan 10 101 0.8× 111 0.9× 18 0.2× 56 0.7× 47 1.0× 38 322
Dhairya Malhotra United States 7 51 0.4× 47 0.4× 31 0.3× 66 0.8× 93 2.0× 16 283
Robert Stewart United Kingdom 13 61 0.5× 70 0.6× 137 1.4× 54 0.7× 91 1.9× 42 366
I. Sfiligoi United States 12 455 3.4× 139 1.2× 135 1.4× 13 0.2× 28 0.6× 79 716
J. L. V. Lewandowski United States 11 46 0.3× 23 0.2× 313 3.1× 30 0.4× 21 0.4× 41 402
Vladimir Lončar United States 10 28 0.2× 35 0.3× 82 0.8× 53 0.7× 118 2.5× 30 376
M. Zilker Germany 12 87 0.7× 10 0.1× 331 3.3× 80 1.0× 35 0.7× 45 458
D. P. Schissel United States 17 171 1.3× 18 0.2× 904 9.0× 75 0.9× 70 1.5× 83 1.1k
Saurabh Kumar United States 13 19 0.1× 123 1.0× 25 0.3× 609 7.7× 310 6.6× 46 766
П. П. Петров United States 16 278 2.1× 369 3.1× 6 0.1× 174 2.2× 50 1.1× 111 1.1k

Countries citing papers authored by Guido Juckeland

Since Specialization
Citations

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

Fields of papers citing papers by Guido Juckeland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Juckeland

This figure shows the co-authorship network connecting the top 25 collaborators of Guido Juckeland. A scholar is included among the top collaborators of Guido Juckeland 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 Guido Juckeland. Guido Juckeland 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.
Windisch, Dominic, et al.. (2023). Parallel Algorithm for Connected-Component Analysis Using CUDA. Algorithms. 16(2). 80–80. 3 indexed citations
2.
Günther, Florian, Jeffrey Kelling, Peter Zahn, et al.. (2023). Stretch Evolution of Electronic Coupling of the Thiophenyl Anchoring Group with Gold in Mechanically Controllable Break Junctions. The Journal of Physical Chemistry Letters. 14(24). 5709–5717. 2 indexed citations
3.
Hernández, Benjamín, Richard Pausch, René Widera, et al.. (2023). Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. eScholarship (California Digital Library). 1–14.
4.
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
5.
Wienke, Sandra, et al.. (2021). Accelerator Programming Using Directives. Lecture notes in computer science. 3 indexed citations
6.
Kelling, Jeffrey, Robin Ohmann, Jörg Meyer, et al.. (2021). Describing chain-like assembly of ethoxygroup-functionalized organic molecules on Au(111) using high-throughput simulations. Scientific Reports. 11(1). 14649–14649. 2 indexed citations
7.
Juckeland, Guido, et al.. (2020). Tools and Techniques for High Performance Computing. Communications in computer and information science. 4 indexed citations
8.
Gruber, Thomas, et al.. (2019). HZDR Data Management Strategy — Top-Level Architecture. 1 indexed citations
9.
Chandrasekaran, Sunita, et al.. (2018). Accelerator Programming Using Directives. Lecture notes in computer science. 1 indexed citations
10.
Weber, Christoph A., et al.. (2017). Multiscale modeling of bacterial colonies: how pili mediate the dynamics of single cells and cellular aggregates. New Journal of Physics. 19(1). 15003–15003. 30 indexed citations
11.
Wagner, Michael, et al.. (2017). Rapid data processing for ultrafast X-ray computed tomography using scalable and modular CUDA based pipelines. Computer Physics Communications. 219. 353–360. 5 indexed citations
12.
Juckeland, Guido, et al.. (2017). OpenACC for Programmers: Concepts and Strategies. 15 indexed citations
13.
Chandrasekaran, Sunita & Guido Juckeland. (2016). Proceedings of the Third International Workshop on Accelerator Programming Using Directives. IEEE International Conference on High Performance Computing, Data, and Analytics. 1 indexed citations
14.
Juckeland, Guido, et al.. (2015). Performance Portable Applications for Hardware Accelerators: Lessons Learned from SPEC ACCEL. 7312. 689–698. 5 indexed citations
15.
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
16.
Dietrich, Robert, Thomas Ilsche, & Guido Juckeland. (2010). Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures. 135–143. 11 indexed citations
17.
Hönig, Wolfgang, Guido Juckeland, Alexander Debus, et al.. (2010). PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster. IEEE Transactions on Plasma Science. 38(10). 2831–2839. 104 indexed citations
18.
Juckeland, Guido, et al.. (2009). Accessing Data on SGI Altix: An Experience with Reality. 1 indexed citations
19.
Schöne, Robert, et al.. (2005). Performance Comparison and Optimization: Case Studies using BenchIT.. 877–884. 2 indexed citations
20.
Juckeland, Guido, et al.. (2004). Performance analysis with BenchIT: portable, flexible, easy to use. 320–321. 5 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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2026