Torsten Hoefler

12.8k total citations · 2 hit papers
301 papers, 5.8k citations indexed

About

Torsten Hoefler is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Torsten Hoefler has authored 301 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 216 papers in Computer Networks and Communications, 178 papers in Hardware and Architecture and 59 papers in Information Systems. Recurrent topics in Torsten Hoefler's work include Parallel Computing and Optimization Techniques (177 papers), Advanced Data Storage Technologies (85 papers) and Interconnection Networks and Systems (84 papers). Torsten Hoefler is often cited by papers focused on Parallel Computing and Optimization Techniques (177 papers), Advanced Data Storage Technologies (85 papers) and Interconnection Networks and Systems (84 papers). Torsten Hoefler collaborates with scholars based in Switzerland, United States and Germany. Torsten Hoefler's co-authors include Andrew Lumsdaine, Maciej Besta, Tal Ben‐Nun, Timo Schneider, Marc Snir, Wolfgang Rehm, Sabela Ramos, T. C. Schulthess, Michał Podstawski and William Gropp and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Torsten Hoefler

277 papers receiving 5.5k citations

Hit Papers

Demystifying Parallel and... 2019 2026 2021 2023 2019 2024 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Torsten Hoefler 3.5k 2.7k 1.2k 1.2k 819 301 5.8k
John Shalf 3.9k 1.1× 3.1k 1.2× 1.1k 0.9× 660 0.6× 419 0.5× 172 6.0k
Marc Snir 4.8k 1.4× 3.5k 1.3× 898 0.7× 1.4k 1.2× 459 0.6× 181 7.3k
Ewing Lusk 3.5k 1.0× 2.8k 1.1× 753 0.6× 695 0.6× 273 0.3× 114 5.4k
Rajeev Thakur 4.1k 1.2× 2.9k 1.1× 794 0.6× 457 0.4× 357 0.4× 167 5.0k
John Nickolls 1.6k 0.4× 1.6k 0.6× 356 0.3× 756 0.6× 817 1.0× 15 4.3k
Anthony Skjellum 2.2k 0.6× 1.6k 0.6× 997 0.8× 650 0.6× 251 0.3× 165 3.9k
Samuel Williams 2.9k 0.8× 3.3k 1.3× 574 0.5× 688 0.6× 618 0.8× 135 5.4k
Andrew Lumsdaine 2.2k 0.6× 1.9k 0.7× 1000 0.8× 1.1k 0.9× 1.6k 1.9× 241 5.3k
Ian Buck 1.8k 0.5× 1.9k 0.7× 400 0.3× 805 0.7× 1.4k 1.7× 28 5.1k
Robert Ross 4.1k 1.1× 1.9k 0.7× 1.2k 0.9× 594 0.5× 406 0.5× 206 4.9k

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

20 of 20 papers shown
1.
Calotoiu, Alexandru, et al.. (2025). Cost-Effective Empirical Performance Modeling. IEEE Transactions on Parallel and Distributed Systems. 37(2). 575–592.
2.
Hoefler, Torsten, et al.. (2025). MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models. Open MIND. 239–251. 2 indexed citations
3.
Jordan, P., et al.. (2025). ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage. Open MIND. 349–367. 1 indexed citations
4.
Girolamo, Salvatore Di, et al.. (2025). SDR-RDMA: Software-Defined Reliability Architecture for Planetary Scale RDMA Communication. Open MIND. 1223–1239.
5.
Sensi, Daniele De, et al.. (2025). Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality. ArXiv.org. 1901–1916. 1 indexed citations
6.
Wang, Haojie, et al.. (2024). Leveraging Graph Analysis to Pinpoint Root Causes of Scalability Issues for Parallel Applications. IEEE Transactions on Parallel and Distributed Systems. 36(2). 308–325.
7.
Gianinazzi, Lukas, et al.. (2024). Near-Optimal Wafer-Scale Reduce. IRIS Research product catalog (Sapienza University of Rome). 334–347. 5 indexed citations
8.
Bauer, Péter, Peter Dueben, Matthew Chantry, et al.. (2023). Deep learning and a changing economy in weather and climate prediction. Nature Reviews Earth & Environment. 4(8). 507–509. 13 indexed citations
9.
Besta, Maciej, Robert Gerstenberger, Paolo Sylos Labini, et al.. (2023). High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. Institutional Research Information System (Università degli Studi di Trento). 1–16. 4 indexed citations
10.
Hoefler, Torsten, Björn Stevens, Andreas F. Prein, et al.. (2023). Earth Virtualization Engines: A Technical Perspective. Computing in Science & Engineering. 25(3). 50–59. 6 indexed citations
11.
Stein, Samuel, et al.. (2023). A Reference Implementation for a Quantum Message Passing Interface. 1420–1425. 2 indexed citations
12.
Sensi, Daniele De, et al.. (2023). Canary: Congestion-aware in-network allreduce using dynamic trees. Future Generation Computer Systems. 152. 70–82. 4 indexed citations
13.
Sensi, Daniele De, et al.. (2022). Noise in the Clouds. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 6(3). 1–27. 9 indexed citations
14.
Wolf, Felix, et al.. (2021). IPDPS 2021 PhD Forum Welcome and Abstracts. 1012–1027.
15.
Schuiki, Fabian, Florian Zaruba, Torsten Hoefler, & Luca Benini. (2021). Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 28 indexed citations
16.
Zaruba, Florian, et al.. (2021). Indirection Stream Semantic Register Architecture for Efficient Sparse-Dense Linear Algebra. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4 indexed citations
17.
Schär, Christoph, Oliver Fuhrer, Andrea Arteaga, et al.. (2021). Prospects for Kilometer-Scale Climate Models. Bulletin of the American Meteorological Society. 102(1). 47–52. 1 indexed citations
18.
Khan, Asif Ali, et al.. (2020). Polyhedral Compilation for Racetrack Memories. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 3968–3980. 8 indexed citations
19.
Fuhrer, Oliver, Torsten Hoefler, Grzegorz Kwaśniewski, et al.. (2018). Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0. Geoscientific model development. 11(4). 1665–1681. 107 indexed citations
20.
Besta, Maciej, et al.. (2014). Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided. SHILAP Revista de lepidopterología. 10 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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