Torsten Hoefler

511 total citations
9 papers, 238 citations indexed

About

Torsten Hoefler is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Torsten Hoefler has authored 9 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Torsten Hoefler's work include Interconnection Networks and Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Hydrological Forecasting Using AI (2 papers). Torsten Hoefler is often cited by papers focused on Interconnection Networks and Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Hydrological Forecasting Using AI (2 papers). Torsten Hoefler collaborates with scholars based in Switzerland, Germany and United Kingdom. Torsten Hoefler's co-authors include Andrew Lumsdaine, Timo Schneider, Peter Dueben, Nikoli Dryden, Tal Ben‐Nun, Shigang Li, Michael Dinitz, Maciej Besta, Paolo Sylos Labini and Pengcheng Xu and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Supercomputing Frontiers and Innovations and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Torsten Hoefler

8 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten Hoefler Switzerland 4 99 82 72 66 59 9 238
Carlos Osuna Switzerland 8 114 1.2× 183 2.2× 98 1.4× 132 2.0× 23 0.4× 15 342
Yue Lin United States 9 29 0.3× 22 0.3× 88 1.2× 23 0.3× 28 0.5× 37 301
Saša Tomić United States 10 197 2.0× 17 0.2× 118 1.6× 86 1.3× 30 0.5× 32 321
L. Fusco Italy 10 45 0.5× 26 0.3× 7 0.1× 40 0.6× 22 0.4× 44 221
Tobias Gysi Switzerland 7 123 1.2× 74 0.9× 131 1.8× 58 0.9× 4 0.1× 10 238
Ketan Kulkarni United States 8 123 1.2× 112 1.4× 77 1.1× 133 2.0× 21 0.4× 10 341
Douglas W. Jacobsen United States 9 103 1.0× 179 2.2× 50 0.7× 110 1.7× 4 0.1× 16 368
Balazs Gerofi Japan 12 276 2.8× 38 0.5× 171 2.4× 33 0.5× 6 0.1× 47 353
Jonatan Ostrometzky Israel 11 37 0.4× 241 2.9× 7 0.1× 20 0.3× 118 2.0× 32 328
Panagiotis Adamidis Germany 8 53 0.5× 39 0.5× 29 0.4× 30 0.5× 6 0.1× 26 169

Countries citing papers authored by Torsten Hoefler

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Hoefler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Hoefler

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Hoefler. A scholar is included among the top collaborators of Torsten Hoefler 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 Torsten Hoefler. Torsten Hoefler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Schneider, Timo, Pengcheng Xu, & Torsten Hoefler. (2025). FPsPIN: An FPGA-Based Open-Hardware Research Platform for Processing in the Network. 1–11.
2.
Ben‐Nun, Tal, et al.. (2024). Low-Depth Spatial Tree Algorithms. 1 indexed citations
3.
Kwaśniewski, Grzegorz, et al.. (2024). High Performance Unstructured SpMM Computation Using Tensor Cores. Institutional Research Information System (Università degli Studi di Trento). 1–14. 2 indexed citations
4.
Ben‐Nun, Tal, et al.. (2021). Deep learning for post-processing ensemble weather forecasts. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2194). 20200092–20200092. 125 indexed citations
5.
Ben‐Nun, Tal, et al.. (2020). Deep Learning for Post-Processing Ensemble Weather Forecasts. Repository for Publications and Research Data (ETH Zurich). 2 indexed citations
6.
Dinitz, Michael & Torsten Hoefler. (2015). Introduction to the Special Issue on SPAA 2013. 2(3). 1–2. 5 indexed citations
7.
Hoefler, Torsten, et al.. (2014). Energy, Memory, and Runtime Tradeoffs for Implementing Collective Communication Operations. Supercomputing Frontiers and Innovations. 1(2). 23 indexed citations
8.
Hoefler, Torsten, Timo Schneider, & Andrew Lumsdaine. (2008). Multistage switches are not crossbars: Effects of static routing in high-performance networks. 116–125. 78 indexed citations
9.
Hoefler, Torsten, et al.. (2006). IRS - A Portable Interface for Reconfigurable Systems. 3. 187–191. 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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