Philipp Gschwandtner

421 total citations
21 papers, 214 citations indexed

About

Philipp Gschwandtner is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Philipp Gschwandtner has authored 21 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 16 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Philipp Gschwandtner's work include Parallel Computing and Optimization Techniques (15 papers), Distributed and Parallel Computing Systems (10 papers) and Cloud Computing and Resource Management (7 papers). Philipp Gschwandtner is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Distributed and Parallel Computing Systems (10 papers) and Cloud Computing and Resource Management (7 papers). Philipp Gschwandtner collaborates with scholars based in Austria, Germany and United Kingdom. Philipp Gschwandtner's co-authors include Thomas Fahringer, Peter Thoman, Herbert Jordan, Radu Prodan, Dimitrios S. Nikolopoulos, Thomas Heller, Juan J. Durillo, Xavier Aguilar, Stefano Markidis and Pierre Lemarinier and has published in prestigious journals such as Journal of Chemical Theory and Computation, Computer Physics Communications and Astronomy and Astrophysics.

In The Last Decade

Philipp Gschwandtner

20 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Gschwandtner Austria 8 141 139 79 27 18 21 214
Ruymán Reyes Spain 9 110 0.8× 124 0.9× 45 0.6× 22 0.8× 14 0.8× 20 192
Sandra Catalán Spain 8 104 0.7× 113 0.8× 54 0.7× 39 1.4× 22 1.2× 41 185
Eduardo R. Rodrigues Brazil 6 150 1.1× 83 0.6× 79 1.0× 10 0.4× 17 0.9× 15 183
Preeti Malakar India 8 139 1.0× 88 0.6× 56 0.7× 7 0.3× 22 1.2× 35 198
Peter Thoman Austria 8 164 1.2× 157 1.1× 69 0.9× 15 0.6× 39 2.2× 35 242
Balazs Gerofi Japan 12 276 2.0× 171 1.2× 121 1.5× 12 0.4× 35 1.9× 47 353
Liang Yuan China 8 110 0.8× 105 0.8× 44 0.6× 13 0.5× 63 3.5× 30 225
Paraskevas Evripidou Cyprus 11 289 2.0× 202 1.5× 67 0.8× 21 0.8× 37 2.1× 44 356
Holger Brunst Germany 8 176 1.2× 150 1.1× 53 0.7× 26 1.0× 10 0.6× 24 210
Hans–Christian Hoppe Germany 6 194 1.4× 167 1.2× 66 0.8× 15 0.6× 11 0.6× 9 233

Countries citing papers authored by Philipp Gschwandtner

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Gschwandtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Gschwandtner

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Gschwandtner. A scholar is included among the top collaborators of Philipp Gschwandtner 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 Philipp Gschwandtner. Philipp Gschwandtner 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.
Loeffler, Johannes R., Franz Waibl, Patrick K. Quoika, et al.. (2024). The Role of Force Fields and Water Models in Protein Folding and Unfolding Dynamics. Journal of Chemical Theory and Computation. 20(5). 2321–2333. 14 indexed citations
2.
Kissmann, R., David Miles Huber, & Philipp Gschwandtner. (2023). High-resolution simulations of LS 5039. Astronomy and Astrophysics. 677. A5–A5. 1 indexed citations
3.
Thoman, Peter, et al.. (2023). An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing. Zenodo (CERN European Organization for Nuclear Research). 82–93. 3 indexed citations
4.
Gschwandtner, Philipp, et al.. (2021). The cluster coffer: Teaching HPC on the road. Journal of Parallel and Distributed Computing. 155. 50–62. 3 indexed citations
5.
Thoman, Peter, et al.. (2021). Multi‐GPU room response simulation with hardware raytracing. Concurrency and Computation Practice and Experience. 34(4). 1 indexed citations
6.
Jordan, Herbert, Philipp Gschwandtner, Peter Thoman, et al.. (2020). The allscale framework architecture. Parallel Computing. 99. 102648–102648. 1 indexed citations
7.
O’Donncha, Fearghal, Roman Iakymchuk, Philipp Gschwandtner, et al.. (2019). AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. Computer Physics Communications. 251. 107089–107089. 7 indexed citations
8.
Thoman, Peter, Thomas Heller, Roman Iakymchuk, et al.. (2018). A taxonomy of task-based parallel programming technologies for high-performance computing. The Journal of Supercomputing. 74(4). 1422–1434. 75 indexed citations
9.
Gschwandtner, Philipp, et al.. (2018). A localised data assimilation framework within the ‘AllScale’ parallel development environment. 84. 1–7. 1 indexed citations
10.
Jordan, Herbert, et al.. (2018). Exploring the semantic gap in compiling embedded DSLs. 195–201. 3 indexed citations
11.
Durillo, Juan J., Philipp Gschwandtner, Klaus Kofler, & Thomas Fahringer. (2018). Multi-Objective region-Aware optimization of parallel programs. Parallel Computing. 83. 3–21. 6 indexed citations
12.
Jordan, Herbert, Thomas Heller, Philipp Gschwandtner, et al.. (2018). The AllScale Runtime Application Model. 74. 445–455. 3 indexed citations
13.
Thoman, Peter, Thomas Heller, Philipp Gschwandtner, et al.. (2017). A Taxonomy Of Task-Based Parallel Programming Technologies For High-Performance Computing. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
14.
Kofler, Klaus, Juan J. Durillo, Philipp Gschwandtner, & Thomas Fahringer. (2017). A Region-Aware Multi-Objective Auto-Tuner for Parallel Programs. Zenodo (CERN European Organization for Nuclear Research). 8. 190–199. 3 indexed citations
15.
Benedict, Shajulin, et al.. (2015). Energy Prediction of OpenMP Applications Using Random Forest Modeling Approach. 1251–1260. 14 indexed citations
16.
Thoman, Peter, Philipp Gschwandtner, & Thomas Fahringer. (2015). On the Quality of Implementation of the C++11 Thread Support Library. 23. 94–98. 3 indexed citations
17.
Gschwandtner, Philipp, Michael Knobloch, Bernd Mohr, D. Pleiter, & Thomas Fahringer. (2014). Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7. 536–543. 10 indexed citations
18.
Gschwandtner, Philipp, et al.. (2014). On the potential of significance-driven execution for energy-aware HPC. Computer Science - Research and Development. 30(2). 197–206. 7 indexed citations
19.
Jordan, Herbert, Peter Thoman, Juan J. Durillo, et al.. (2012). A multi-objective auto-tuning framework for parallel codes. 1–12. 34 indexed citations
20.
Gschwandtner, Philipp, Thomas Fahringer, & Radu Prodan. (2011). Performance Analysis and Benchmarking of the Intel SCC. Zenodo (CERN European Organization for Nuclear Research). 139–149. 21 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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