World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
8740
World Ranking
6850
National Ranking
228

Gerhard Wellein publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Gerhard Wellein sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 232 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Gerhard Wellein D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Gerhard Wellein sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Gerhard Wellein is affiliated with the University of Erlangen-Nuremberg in Germany. Their research primarily spans the field of Computer Science, with a specialized focus on several subfields including Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics, Computational Mechanics, and Molecular Biology.

Their academic output emphasizes topics such as 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, and Low-power High-performance VLSI Design.

Frequent co-authors collaborating with Gerhard Wellein include:

  • Georg Hager
  • Ayesha Afzal
  • Christie Louis Alappat
  • Jan Laukemann
  • Thomas Gruber

Gerhard Wellein has published extensively in various venues. Notable publication venues with multiple contributions include:

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

Selected recent papers by Gerhard Wellein 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
  • Valley filtering in strain-induced α−T3 quantum dots, 2021, Physical Review B
  • 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

Best Publications

  • The kernel polynomial method

    Alexander Weiße;Gerhard Wellein;Andreas Alvermann;Holger Fehske

  • 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

  • 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

  • Polarons and bipolarons in strongly interacting electron-phonon systems

    G. Wellein;H. Röder;H. Fehske

  • Polaron band formation in the Holstein model

    G. Wellein;H. Fehske

  • 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

  • Performance Evaluation of Parallel Large-Scale Lattice Boltzmann Applications on Three Supercomputing Architectures

    Thomas Pohl;Frank Deserno;Nils Thurey;Ulrich Rude

  • 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

  • Self-trapping problem of electrons or excitons in one dimension

    G. Wellein;H. Fehske

  • Lattice polaron formation: Effects of nonscreened electron-phonon interaction

    H. Fehske;J. Loos;G. Wellein

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

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

  • Stripe formation in doped Hubbard ladders

    G. Hager;G. Wellein;E. Jeckelmann;H. Fehske

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

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

  • Spectral properties of the 2D Holstein polaron

    H. Fehske;J. Loos;G. Wellein

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

    Georg Hager;Jan Treibig;Johannes Habich;Gerhard Wellein

  • Optical absorption and single-particle excitations in the two-dimensional Holstein t-J model

    B. Bäuml;G. Wellein;H. Fehske

Frequent Co-Authors

Georg Hager
Georg Hager University of Erlangen-Nuremberg
Ulrich Rüde
Ulrich Rüde University of Erlangen-Nuremberg
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Olaf Schenk
Olaf Schenk Universita della Svizzera Italiana
Michael Breuer
Michael Breuer Helmut Schmidt University
Daniel S. Katz
Daniel S. Katz University of Illinois at Urbana-Champaign
Howard Jay Siegel
Howard Jay Siegel Colorado State University
Ramakrishnan Rajamony
Ramakrishnan Rajamony Goldman Sachs (United States)
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
Britta Nestler
Britta Nestler Karlsruhe Institute of Technology

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