World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
5855
World Ranking
13903
National Ranking
673

Georg Hager 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 Georg Hager 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Georg Hager 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 Georg Hager 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Georg Hager is affiliated with the University of Erlangen-Nuremberg in Germany. Their research spans various areas within computer science, concentrating primarily on parallel computing and related optimization techniques. Across their publications, Hager has explored topics bridging hardware architecture, computer networks, and computational theory.

The main fields of study associated with Hager's work include:

  • Computer Science

Within computer science, their subfields of focus are:

  • Computer Networks and Communications
  • Hardware and Architecture
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computational Mechanics

Key topics in Hager's research portfolio encompass:

  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Interconnection Networks and Systems
  • Distributed and Parallel Computing Systems
  • Matrix Theory and Algorithms
  • Lattice Boltzmann Simulation Studies
  • Quantum Computing Algorithms and Architecture

Hager has contributed extensively to scientific literature with several recent papers that illustrate a focus on sparse matrix operations and performance engineering in parallel computation environments. Notable publications include:

  • "A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication," 2020, ACM Transactions on Parallel Computing
  • "Execution-Cache-Memory modeling and performance tuning of sparse matrix-vector multiplication and Lattice quantum chromodynamics on A64FX," 2021, Concurrency and Computation Practice and Experience
  • "Level-Based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication," 2022, IEEE Transactions on Parallel and Distributed Systems
  • "Performance engineering for real and complex tall & skinny matrix multiplication kernels on GPUs," 2020, The International Journal of High Performance Computing Applications
  • "The Role of Idle Waves, Desynchronization, and Bottleneck Evasion in the Performance of Parallel Programs," 2022, IEEE Transactions on Parallel and Distributed Systems

Frequent co-authors in Hager's research include:

  • Gerhard Wellein
  • Ayesha Afzal
  • Jan Laukemann
  • Christie Louis Alappat
  • Jonas Thies

Hager's work is regularly published in a variety of venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • The International Journal of High Performance Computing Applications
  • ACM Transactions on Parallel Computing
  • Concurrency and Computation Practice and Experience

Best Publications

  • LIKWID: A Lightweight Performance-Oriented Tool Suite for x86 Multicore Environments

    Jan Treibig;Georg Hager;Gerhard Wellein

  • Introduction to High Performance Computing for Scientists and Engineers

    Georg Hager;Gerhard Wellein

  • Hybrid MPI/OpenMP Parallel Programming on Clusters of Multi-Core SMP Nodes

    Rolf Rabenseifner;Georg Hager;Gabriele Jost

  • LIKWID: Lightweight Performance Tools

    Jan Treibig;Georg Hager;Gerhard Wellein

  • LIKWID: Lightweight Performance Tools

    Jan Treibig;Georg Hager;Gerhard Wellein

  • A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units

    Moritz Kreutzer;Georg Hager;Gerhard Wellein;Holger Fehske

  • On the single processor performance of simple lattice Boltzmann kernels

    G. Wellein;T. Zeiser;G. Hager;S. Donath

  • Efficient Temporal Blocking for Stencil Computations by Multicore-Aware Wavefront Parallelization

    Gerhard Wellein;Georg Hager;Thomas Zeiser;Markus Wittmann

  • A unified sparse matrix data format for efficient general sparse matrix-vector multiply on modern processors with wide SIMD units

    Moritz Kreutzer;Georg Hager;Gerhard Wellein;Holger Fehske

  • Quantifying Performance Bottlenecks of Stencil Computations Using the Execution-Cache-Memory Model

    Holger Stengel;Jan Treibig;Georg Hager;Gerhard Wellein

  • Exploring performance and power properties of modern multi-core chips via simple machine models

    Georg Hager;Jan Treibig;Johannes Habich;Gerhard Wellein

  • Comparison of different propagation steps for lattice Boltzmann methods

    Markus Wittmann;Thomas Zeiser;Georg Hager;Gerhard Wellein

  • A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication

    Christie L. Alappat;Georg Hager;Olaf Schenk;Jonas Thies

  • MULTICORE-OPTIMIZED WAVEFRONT DIAMOND BLOCKING FOR OPTIMIZING STENCIL UPDATES ∗

    Tareq M. Malas;Georg Hager;Hatem Ltaief;Holger Stengel

  • Exploring performance and power properties of modern multicore chips via simple machine models

    Georg Hager;Jan Treibig;Johannes Habich;Gerhard Wellein

  • Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

    Johannes Habich;Christian Feichtinger;Harald Köstler;Georg Hager

  • Expression Templates Revisited: A Performance Analysis of Current Methodologies

    Klaus Iglberger;Georg Hager;Jan Treibig;Ulrich Rüde

  • A flexible Patch-based lattice Boltzmann parallelization approach for heterogeneous GPU-CPU clusters

    Christian Feichtinger;Johannes Habich;Harald KöStler;Georg Hager

  • Communication Characteristics and Hybrid MPI/OpenMP Parallel Pr ogramming on Clusters of Multi-core SMP Nodes

    Georg Hager;Gabriele Jost;Rolf Rabenseifner

  • Introducing a performance model for bandwidth-limited loop kernels

    Jan Treibig;Georg Hager

  • Efficient multicore-aware parallelization strategies for iterative stencil computations

    Jan Treibig;Gerhard Wellein;Georg Hager

  • Multicore-aware parallel temporal blocking of stencil codes for shared and distributed memory

    Markus Wittmann;Georg Hager;Gerhard Wellein

  • Performance analysis and optimization strategies for a D3Q19 lattice Boltzmann kernel on nVIDIA GPUs using CUDA

    J. Habich;T. Zeiser;G. Hager;G. Wellein

  • Introducing a parallel cache oblivious blocking approach for the lattice Boltzmann method

    T. Zeiser;G. Wellein;A. Nitsure;K. Iglberger

  • Comparing the performance of different x86 SIMD instruction sets for a medical imaging application on modern multi- and manycore chips

    Johannes Hofmann;Jan Treibig;Georg Hager;Gerhard Wellein

  • Multicore-optimized wavefront diamond blocking for optimizing stencil updates

    Tareq Malas;Georg Hager;Hatem Ltaief;Holger Stengel

Frequent Co-Authors

Gerhard Wellein
Gerhard Wellein University of Erlangen-Nuremberg
Ulrich Rüde
Ulrich Rüde University of Erlangen-Nuremberg
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
Olaf Schenk
Olaf Schenk Universita della Svizzera Italiana
Matthias Scheffler
Matthias Scheffler Fritz Haber Institute of the Max Planck Society
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Karsten Reuter
Karsten Reuter Fritz Haber Institute of the Max Planck Society
Michael Breuer
Michael Breuer Helmut Schmidt University
Christian Lengauer
Christian Lengauer University of Passau

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