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Computer Science

D-Index
57
Citations
13567
World Ranking
3821
National Ranking
171

Markus Diesmann 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 Markus Diesmann 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: 281 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Markus Diesmann 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 Markus Diesmann 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Markus Diesmann is affiliated with RWTH Aachen University in Germany, where their research primarily focuses on various aspects of neuroscience. Their body of work spans multiple subfields, including Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, and General Health Professions.

The main topics covered by Diesmann's research include:

  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural Networks and Applications
  • Photoreceptor and optogenetics research

Diesmann has frequently published in notable research venues, with several contributions to:

  • arXiv (Cornell University)
  • Frontiers in Neuroinformatics
  • PLoS Computational Biology
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)

Among recent papers authored under their collaboration, notable works include:

  • Connectivity concepts in neuronal network modeling, 2022, PLoS Computational Biology
  • Bringing Anatomical Information into Neuronal Network Models, 2021, Advances in Experimental Medicine and Biology
  • The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing, 2024, Imaging Neuroscience
  • Global organization of neuronal activity only requires unstructured local connectivity, 2021, eLife
  • Conditions for wave trains in spiking neural networks, 2020, Physical Review Research

Frequent co-authors who have collaborated with Diesmann include:

  • Sacha J. van Albada
  • Johanna Senk
  • Tom Tetzlaff
  • Claus C. Hilgetag
  • Hans Ekkehard Pleßer

Best Publications

  • NEST (NEural Simulation Tool)

    Marc-Oliver Gewaltig;Markus Diesmann

  • Stable propagation of synchronous spiking in cortical neural networks

    Markus Diesmann;Marc-Oliver Gewaltig;Marc-Oliver Gewaltig;Ad Aertsen

  • Simulation of networks of spiking neurons: A review of tools and strategies

    Romain Brette;Michelle Rudolph;Ted Carnevale;Michael L. Hines

  • Phenomenological models of synaptic plasticity based on spike timing

    Abigail Morrison;Markus Diesmann;Wulfram Gerstner

  • The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model

    Tobias C. Potjans;Markus Diesmann

  • Spike-Timing-Dependent Plasticity in Balanced Random Networks

    Abigail Morrison;Ad Aertsen;Markus Diesmann

  • Unitary events in multiple single-neuron spiking activity: I. detection and significance

    Sonja Grün;Markus Diesmann;Ad Aertsen

  • PyNEST: A Convenient Interface to the NEST Simulator.

    Jochen Martin Eppler;Moritz Helias;Eilif Muller;Markus Diesmann

  • Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing

    Abigail Morrison;Carsten Mehring;Theo Geisel;Theo Geisel Ad Aertsen

  • Decorrelation of neural-network activity by inhibitory feedback.

    Tom Tetzlaff;Moritz Helias;Gaute T. Einevoll;Markus Diesmann;Markus Diesmann

  • Exact digital simulation of time-invariant linear systems with applications to neuronal modeling.

    Stefan Rotter;Markus Diesmann

  • Unitary events in multiple single-neuron spiking activity: II. nonstationary data

    Sonja Grün;Markus Diesmann;Ad Aertsen

  • Activity dynamics and propagation of synchronous spiking in locally connected random networks.

    Carsten Mehring;Ulrich Hehl;Masayoshi Kubo;Markus Diesmann

  • The Scientific Case for Brain Simulations

    Gaute T. Einevoll;Gaute T. Einevoll;Alain Destexhe;Alain Destexhe;Markus Diesmann;Sonja Grün

  • CoCoMac 2.0 and the future of tract-tracing databases.

    Rembrandt Bakker;Rembrandt Bakker;Thomas Wachtler;Markus Diesmann;Markus Diesmann

  • A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems

    Daniel Brüderle;Mihai A. Petrovici;Bernhard Vogginger;Matthias Ehrlich

  • Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model

    Sacha J. van Albada;Andrew G. Rowley;Johanna Senk;Michael Hopkins

  • MEA-Tools: an open source toolbox for the analysis of multi-electrode data with MATLAB.

    U. Egert;Th. Knott;C. Schwarz;M. Nawrot

  • Propagation of synchronous spiking activity in feedforward neural networks

    A Aertsen;M Diesmann;MO Gewaltig

  • Reconstructing neuronal circuitry from parallel spike trains.

    Ryota Kobayashi;Ryota Kobayashi;Shuhei Kurita;Anno Kurth;Katsunori Kitano

  • A general and efficient method for incorporating precise spike times in globally time-driven simulations.

    Alexander Hanuschkin;Susanne Kunkel;Moritz Helias;Abigail Morrison

Frequent Co-Authors

Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Alexa Riehle
Alexa Riehle Aix-Marseille University
Ad Aertsen
Ad Aertsen University of Freiburg
Tomoki Fukai
Tomoki Fukai Okinawa Institute of Science and Technology
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
John Rinzel
John Rinzel New York University
Theo Geisel
Theo Geisel Max Planck Institute for Dynamics and Self-Organization
Henry Markram
Henry Markram École Polytechnique Fédérale de Lausanne
Peter De Weerd
Peter De Weerd Maastricht University
Michael L. Hines
Michael L. Hines Yale University

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