Dirk Pflüger

1.4k total citations
71 papers, 470 citations indexed

About

Dirk Pflüger is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Dirk Pflüger has authored 71 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 23 papers in Hardware and Architecture and 14 papers in Artificial Intelligence. Recurrent topics in Dirk Pflüger's work include Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (17 papers) and Advanced Data Storage Technologies (10 papers). Dirk Pflüger is often cited by papers focused on Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (17 papers) and Advanced Data Storage Technologies (10 papers). Dirk Pflüger collaborates with scholars based in Germany, United States and Switzerland. Dirk Pflüger's co-authors include Hans‐Joachim Bungartz, Benjamin Peherstorfer, Alexander Heinecke, Jochen Garcke, Patrick Diehl, Josef Weidendorfer, Hartmut Kaiser, Rudolf Weeber, Timo de Wolff and Georg Ganzenmüller and has published in prestigious journals such as Nature, PLoS ONE and Journal of Computational Physics.

In The Last Decade

Dirk Pflüger

65 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dirk Pflüger Germany 13 134 107 87 55 51 71 470
Harvey Dubner United States 8 55 0.4× 24 0.2× 45 0.5× 57 1.0× 25 0.5× 22 573
Cosmin G. Petra United States 12 44 0.3× 34 0.3× 72 0.8× 117 2.1× 23 0.5× 31 517
Tobias Neckel Germany 12 34 0.3× 22 0.2× 105 1.2× 38 0.7× 27 0.5× 32 380
Valérie Pascual France 7 70 0.5× 90 0.8× 184 2.1× 159 2.9× 224 4.4× 11 718
Zeyao Mo China 14 153 1.1× 140 1.3× 148 1.7× 129 2.3× 65 1.3× 73 625
Giuliano Laccetti Italy 14 149 1.1× 69 0.6× 27 0.3× 43 0.8× 46 0.9× 46 431
Osamu Tatebe Japan 5 110 0.8× 85 0.8× 108 1.2× 58 1.1× 50 1.0× 8 414
Salvatore Filippone Italy 13 187 1.4× 237 2.2× 109 1.3× 177 3.2× 50 1.0× 49 540
Rami Shakarchi United States 6 30 0.2× 7 0.1× 64 0.7× 90 1.6× 94 1.8× 10 641
Chris Phillips United Kingdom 11 46 0.3× 29 0.3× 74 0.9× 88 1.6× 55 1.1× 41 495

Countries citing papers authored by Dirk Pflüger

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Pflüger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Pflüger

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Pflüger. A scholar is included among the top collaborators of Dirk Pflüger 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 Dirk Pflüger. Dirk Pflüger 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.
Diehl, Patrick, Rahulkumar Gayatri, Christoph Junghans, et al.. (2025). Asynchronous-many-task systems: Challenges and opportunities - Scaling an AMR astrophysics code on exascale machines using Kokkos and HPX. The International Journal of High Performance Computing Applications. 40(2). 196–216. 1 indexed citations
2.
Lafata, Kyle J., et al.. (2024). Advancing blood glucose prediction with neural architecture search and deep reinforcement learning for type 1 diabetics. Journal of Applied Biomedicine. 44(3). 481–500. 1 indexed citations
3.
4.
Becker, Steffen, et al.. (2024). Large Language Model-Based Optimization for System-Level Test Program Generation. 1–6. 1 indexed citations
5.
6.
Schick, M., et al.. (2023). Uncertainty Quantification for parameter estimation of an industrial electric motor using hierarchical Bayesian inversion. Mechatronics. 92. 102989–102989. 1 indexed citations
7.
Pflüger, Dirk, et al.. (2023). A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations. Journal of Computational Physics. 491. 112338–112338. 1 indexed citations
8.
9.
Firouzi, Farshad, et al.. (2023). Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. 339–347. 3 indexed citations
10.
Simberg, Mikael, et al.. (2021). Beyond Fork-Join: Integration of Performance Portable Kokkos Kernels with HPX. Civil War Book Review. 377–386. 8 indexed citations
11.
12.
Wolff, Timo de, et al.. (2020). Evaluation of pool-based testing approaches to enable population-wide screening for COVID-19. PLoS ONE. 15(12). e0243692–e0243692. 22 indexed citations
13.
Diehl, Patrick, Dirk Pflüger, Steffen Frey, et al.. (2017). Visualization of fracture progression in peridynamics. Computers & Graphics. 67. 45–57. 14 indexed citations
14.
Garcke, Jochen & Dirk Pflüger. (2014). Sparse Grids and Applications - Munich 2012. CERN Document Server (European Organization for Nuclear Research). 20 indexed citations
15.
Heinecke, Alexander, et al.. (2013). Demonstrating Performance Portability of A Custom OpenCL Data Mining Application to the Intel(R) Xeon Phi(TM) Coprocessor. mediaTUM (Technical University of Munich). 2 indexed citations
16.
Pflüger, Dirk, et al.. (2012). A Parallel and Distributed Surrogate Model Implementation for Computational Steering. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 31. 203–210. 4 indexed citations
17.
Bungartz, Hans‐Joachim, et al.. (2011). Option pricing with a direct adaptive sparse grid approach. Journal of Computational and Applied Mathematics. 236(15). 3741–3750. 25 indexed citations
18.
Pflüger, Dirk, et al.. (2011). Towards High-Dimensional Computational Steering of Precomputed Simulation Data using Sparse Grids. Procedia Computer Science. 4. 56–65. 12 indexed citations
19.
Pflüger, Dirk, Benjamin Peherstorfer, & Hans‐Joachim Bungartz. (2010). Spatially adaptive sparse grids for high-dimensional data-driven problems. Journal of Complexity. 26(5). 508–522. 57 indexed citations
20.
Bungartz, Hans‐Joachim, et al.. (2010). Parallelizing a Black-Scholes solver based on finite elements and sparse grids. 31. 1–8. 7 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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