World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5968
World Ranking
11604
National Ranking
575

Gerd Ascheid 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 Gerd Ascheid 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: 503 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Gerd Ascheid 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 Gerd Ascheid 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Gerd Ascheid is affiliated with RWTH Aachen University in Germany. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on Electrical and Electronic Engineering and Artificial Intelligence. Additional subfields of interest include Control and Systems Engineering, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

The scientist's main research topics cover several areas, including:

  • Reinforcement Learning in Robotics
  • Advanced Memory and Neural Computing
  • Smart Grid Security and Resilience
  • Evolutionary Algorithms and Applications
  • Advanced Neural Network Applications
  • Wireless Communication Security Techniques
  • Metaheuristic Optimization Algorithms Research

Gerd Ascheid has contributed to a variety of publication venues, frequently publishing in:

  • arXiv (Cornell University)
  • RWTH Publications (RWTH Aachen)
  • npj Digital Medicine
  • IEEE Wireless Communications
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Recent papers include:

  • "Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care" (2021, npj Digital Medicine)
  • "A Physical Layer Security Framework for Cognitive Cyber-Physical Systems" (2020, IEEE Wireless Communications)
  • "Morphological evolution for pipe inspection using Robot Operating System (ROS)" (2020, Materials and Manufacturing Processes)
  • "Evo-RL" (2021, Proceedings of the Genetic and Evolutionary Computation Conference Companion)
  • "ConvAix: An Application-Specific Instruction-Set Processor for the Efficient Acceleration of CNNs" (2020, IEEE Open Journal of Circuits and Systems)

Frequent collaborators with Gerd Ascheid include:

  • Guido Dartmann
  • Ahmed Hallawa
  • Anke Schmeink
  • Alí Emre Pusane
  • Lukas Märtin

Best Publications

  • MAPS: an integrated framework for MPSoC application parallelization

    J. Ceng;J. Castrillon;W. Sheng;H. Scharwachter

  • MAPS: Mapping Concurrent Dataflow Applications to Heterogeneous MPSoCs

    J. Castrillon;R. Leupers;G. Ascheid

  • Cycle Slips in Phase-Locked Loops: A Tutorial Survey

    G. Ascheid;H. Meyr

  • Adaptive synchronization and channel parameter estimation using an extended Kalman filter

    A. Aghamohammadi;H. Meyr;G. Ascheid

  • A new method for phase synchronization and automatic gain control of linearly modulated signals on frequency-flat fading channels

    A. Aghamohammadi;H. Meyr;G. Ascheid

  • A Modular Simulation Framework for Spatial and Temporal Task Mapping onto Multi-Processor SoC Platforms

    Torsten Kempf;Malte Doerper;R. Leupers;G. Ascheid

  • Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.

    Arne Peine;Ahmed Hallawa;Johannes Bickenbach;Guido Dartmann

  • An all digital receiver architecture for bandwidth efficient transmission at high data rates

    G. Ascheid;M. Oerder;J. Stahl;H. Meyr

  • A SW performance estimation framework for early system-level-design using fine-grained instrumentation

    T. Kempf;K. Karuri;S. Wallentowitz;G. Ascheid

  • System level processor/communication co-exploration methodology for multiprocessor system-on-chip platforms

    A. Wieferink;M. Doerper;R. Leupers;G. Ascheid

  • Uplink power control with MMSE receiver in multi-cell MU-massive-MIMO systems

    Kaifeng Guo;Yan Guo;Gaabor Fodor;Gerd Ascheid

  • A system level processor/communication co-exploration methodology for multi-processor system-on-chip platforms

    Andreas Wieferink;Tim Kogel;Rainer Leupers;Gerd Ascheid

  • Fine-grained application source code profiling for ASIP design

    K. Karuri;M.A. Al Faruque;S. Kraemer;R. Leupers

  • Designing an ASIP for Cryptographic Pairings over Barreto-Naehrig Curves

    David Kammler;Diandian Zhang;Peter Schwabe;Hanno Scharwaechter

  • Quasi-Static and Time-Selective Channel Estimation for Block-Sparse Millimeter Wave Hybrid MIMO Systems: Sparse Bayesian Learning (SBL) Based Approaches

    Suraj Srivastava;Amrita Mishra;Anupama Rajoriya;Aditya K. Jagannatham

  • A modular simulation framework for architectural exploration of on-chip interconnection networks

    Tim Kogel;Malte Doerper;Andreas Wieferink;Rainer Leupers

  • A Scalable VLSI Architecture for Soft-Input Soft-Output Single Tree-Search Sphere Decoding

    Ernst Martin Witte;Filippo Borlenghi;Gerd Ascheid;Rainer Leupers

  • Communication-aware mapping of KPN applications onto heterogeneous MPSoCs

    Jeronimo Castrillon;Andreas Tretter;Rainer Leupers;Gerd Ascheid

  • Security-Constrained Power Allocation in MU-Massive-MIMO With Distributed Antennas

    Kaifeng Guo;Yan Guo;Gerd Ascheid

  • How the Framework of Expectation Propagation Yields an Iterative IC-LMMSE MIMO Receiver

    Martin Senst;Gerd Ascheid

  • A methodology and tool suite for C compiler generation from ADL processor models

    Manuel Hohenauer;Hanno Scharwaechter;Kingshuk Karuri;Oliver Wahlen

  • Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators

    Christoph Schorn;Andre Guntoro;Gerd Ascheid

  • Phase-, frequency-locked loops, and amplitude control

    Heinrich Meyr;Gerd Ascheid

Frequent Co-Authors

Rainer Leupers
Rainer Leupers RWTH Aachen University
Heinrich Meyr
Heinrich Meyr RWTH Aachen University
Gunes Karabulut Kurt
Gunes Karabulut Kurt Polytechnique Montréal
Anke Schmeink
Anke Schmeink RWTH Aachen University
Rudolf Mathar
Rudolf Mathar RWTH Aachen University
Petri Mahonen
Petri Mahonen Aalto University
Cristina Silvano
Cristina Silvano Polytechnic University of Milan
Anass Benjebbour
Anass Benjebbour NTT (Japan)
Dimitrios Soudris
Dimitrios Soudris National Technical University of Athens

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