World's Best Scientists 2026 revealed!
Torsten Hoefler

Torsten Hoefler

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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
67
Citations
15170
World Ranking
2222
National Ranking
50

Torsten Hoefler publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Torsten Hoefler sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 429 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Torsten Hoefler D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Torsten Hoefler sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2020 - ACM Senior Member
  • 2019 - ACM Gordon Bell Prize For A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations

Overview

Torsten Hoefler is affiliated with ETH Zurich in Switzerland and specializes in the field of Computer Science. Their research encompasses a range of subfields, including Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Information Systems, and Computer Vision and Pattern Recognition.

The scientist's main topics of work involve Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Interconnection Networks and Systems, Advanced Data Storage Technologies, Distributed and Parallel Computing Systems, Graph Theory and Algorithms, and Software-Defined Networks and 5G.

Hoefler has contributed extensively to several publication venues, with the most frequent being arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Repository for Publications and Research Data (ETH Zurich), IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Computers.

Recent significant papers include:

  • Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks, 2021, arXiv (Cornell University)
  • Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks, 2021, Repository for Publications and Research Data (ETH Zurich)
  • Graph of Thoughts: Solving Elaborate Problems with Large Language Models, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • The digital revolution of Earth-system science, 2021, Nature Computational Science
  • GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers, 2022, arXiv (Cornell University)

Frequent co-authors collaborating with Hoefler include Maciej Besta, Tal Ben-Nun, Salvatore Di Girolamo, Marcin Copik, and Daniele De Sensi.

Torsten Hoefler's honors include the ACM Senior Member designation received in 2020 and the ACM Gordon Bell Prize awarded in 2019 for work titled "A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations."

Best Publications

  • Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis

    Tal Ben-Nun;Torsten Hoefler

  • The Convergence of Sparsified Gradient Methods

    Dan Alistarh;Torsten Hoefler;Mikael Johansson;Nikola Konstantinov

  • Slim fly: a cost effective low-diameter network topology

    Maciej Besta;Torsten Hoefler

  • Characterizing the Influence of System Noise on Large-Scale Applications by Simulation

    Torsten Hoefler;Timo Schneider;Andrew Lumsdaine

  • Generic topology mapping strategies for large-scale parallel architectures

    Torsten Hoefler;Marc Snir

  • The PERCS High-Performance Interconnect

    Baba Arimilli;Ravi Arimilli;Vicente Chung;Scott Clark

  • Scientific benchmarking of parallel computing systems: twelve ways to tell the masses when reporting performance results

    Torsten Hoefler;Roberto Belli

  • GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

    Unknown

  • Implementation and performance analysis of non-blocking collective operations for MPI

    Torsten Hoefler;Andrew Lumsdaine;Wolfgang Rehm

  • LogGOPSim: simulating large-scale applications in the LogGOPS model

    Torsten Hoefler;Timo Schneider;Andrew Lumsdaine

  • The digital revolution of Earth-system science

    Peter Bauer;Peter D. Dueben;Torsten Hoefler;Tiago Quintino

  • Enabling highly scalable remote memory access programming with MPI-3 one sided

    Robert Gerstenberger;Maciej Besta;Torsten Hoefler

  • Using automated performance modeling to find scalability bugs in complex codes

    Alexandru Calotoiu;Torsten Hoefler;Marius Poke;Felix Wolf

  • Deep learning for post-processing ensemble weather forecasts

    Peter Grönquist;Chengyuan Yao;Tal Ben-Nun;Nikoli Dryden

  • Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0

    Oliver Fuhrer;Tarun Chadha;Torsten Hoefler;Grzegorz Kwasniewski

  • DARE: High-Performance State Machine Replication on RDMA Networks

    Marius Poke;Torsten Hoefler

  • To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations

    Maciej Besta;Michał Podstawski;Linus Groner;Edgar Solomonik

  • Using Advanced MPI: Modern Features of the Message-Passing Interface

    William Gropp;Torsten Hoefler;Rajeev Thakur;Ewing Lusk

  • Augment Your Batch: Improving Generalization Through Instance Repetition

    Elad Hoffer;Tal Ben-Nun;Itay Hubara;Niv Giladi

  • Multistage switches are not crossbars: Effects of static routing in high-performance networks

    T. Hoefler;T. Schneider;A. Lumsdaine

  • Message progression in parallel computing - to thread or not to thread?

    T. Hoefler;A. Lumsdaine

  • SeBS: a serverless benchmark suite for function-as-a-service computing

    Marcin Copik;Grzegorz Kwasniewski;Maciej Besta;Michal Podstawski

Frequent Co-Authors

Andrew Lumsdaine
Andrew Lumsdaine Pacific Northwest National Laboratory
William Gropp
William Gropp University of Illinois at Urbana-Champaign
Rajeev Thakur
Rajeev Thakur Argonne National Laboratory
Felix Wolf
Felix Wolf Technical University of Darmstadt
Ewing Lusk
Ewing Lusk Argonne National Laboratory
Luca Benini
Luca Benini ETH Zurich
Gustavo Alonso
Gustavo Alonso ETH Zurich
Dan Alistarh
Dan Alistarh Institute of Science and Technology Austria
Marc Snir
Marc Snir University of Illinois at Urbana-Champaign

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