World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6317
World Ranking
10688
National Ranking
536

Ralf Mikut 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 Ralf Mikut 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: 352 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Ralf Mikut 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 Ralf Mikut 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Ralf Mikut is affiliated with the Karlsruhe Institute of Technology in Germany, focusing research primarily within the field of engineering.

Their work encompasses various subfields including:

  • Electrical and Electronic Engineering
  • Molecular Biology
  • Biophysics
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Research topics covered include:

  • Energy Load and Power Forecasting
  • Cell Image Analysis Techniques
  • Smart Grid Energy Management
  • Image Processing Techniques and Applications
  • Single-cell and Spatial Transcriptomics
  • Time Series Analysis and Forecasting
  • Stock Market Forecasting Methods

Frequent publication venues where Ralf Mikut's work appears are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • at - Automatisierungstechnik
  • Repository KITopen (Karlsruhe Institute of Technology)

Some recent papers include:

  • The Cell Tracking Challenge: 10 years of objective benchmarking, 2023, Nature Methods
  • The effect of lipidation and glycosylation on short cationic antimicrobial peptides, 2020, Biochimica et Biophysica Acta (BBA) - Biomembranes
  • Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding, 2022, Journal of Intelligent Manufacturing
  • Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy, 2020, PLoS ONE
  • Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night, 2020, IEEE Transactions on Intelligent Vehicles

Notable frequent co-authors associated with Ralf Mikut include:

  • Veit Hagenmeyer
  • Tim Scherr
  • Markus Reischl
  • Kaleb Phipps
  • Benedikt Heidrich

Best Publications

  • Fuzzy Control

    Unknown

  • An objective comparison of cell-tracking algorithms

    Vladimír Ulman;Martin Maška;Klas E G Magnusson;Olaf Ronneberger

  • Zebrafish embryos as models for embryotoxic and teratological effects of chemicals

    Lixin Yang;Nga Yu Ho;Rüdiger Alshut;Jessica Legradi

  • Data mining tools

    Ralf Mikut;Markus Reischl

  • Real-Time Three-Dimensional Cell Segmentation in Large-Scale Microscopy Data of Developing Embryos.

    Johannes Stegmaier;Johannes Stegmaier;Fernando Amat;William C. Lemon;Katie McDole

  • Interpretability issues in data-based learning of fuzzy systems

    Ralf Mikut;Jens Jäkel;Lutz Gröll

  • Identification of Nonvisual Photomotor Response Cells in the Vertebrate Hindbrain

    David Kokel;David Kokel;Timothy W. Dunn;Misha B. Ahrens;Rüdiger Alshut

  • On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages

    Riccardo Remo Appino;Jorge Ángel González Ordiano;Ralf Mikut;Timm Faulwasser

  • Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks.

    Johannes Stegmaier;Jens C. Otte;Andrei Kobitski;Andreas Bartschat

  • A cognitive architecture for a humanoid robot: a first approach

    C. Burghart;R. Mikut;R. Stiefelhagen;T. Asfour

  • Automated processing of zebrafish imaging data - a survey

    Ralf Mikut;Thomas Dickmeis;Wolfgang Driever;Pierre Geurts

  • Automated feature assessment in instrumented gait analysis

    Sebastian Wolf;Tobias Loose;Matthias Schablowski;Leonhard Döderlein

  • Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy

    Tim Scherr;Katharina Löffler;Moritz Böhland;Ralf Mikut

  • Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night

    Mark Schutera;Mostafa Hussein;Jochen Abhau;Ralf Mikut

  • A hydraulically driven multifunctional prosthetic hand

    Stefan Schulz;Christian Pylatiuk;Markus Reischl;Jan Martin

  • Automatic Zebrafish Heartbeat Detection and Analysis for Zebrafish Embryos

    Christian Pylatiuk;Daniela Sanchez;Ralf Mikut;Ruediger Alshut

  • Data-Driven Copy-Paste Imputation for Energy Time Series

    Moritz Weber;Marian Turowski;Huseyin K. Cakmak;Ralf Mikut

  • Information and communication technology in energy lab 2.0: Smart energies system simulation and control center with an open-street-map-based power flow simulation example

    Veit Hagenmeyer;Hüseyin Kemal Çakmak;Clemens Düpmeier;Timm Faulwasser

  • An ensemble-averaged, cell density-based digital model of zebrafish embryo development derived from light-sheet microscopy data with single-cell resolution

    Andrei Y. Kobitski;Jens C. Otte;Masanari Takamiya;Benjamin Schäfer

  • Improving short antimicrobial peptides despite elusive rules for activity.

    Ralf Mikut;Serge Ruden;Markus Reischl;Frank Breitling

  • Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles

    Karl Schwenk;Stefan Meisenbacher;Benjamin Briegel;Tim Harr

  • Energy forecasting tools and services

    Jorge Ángel González Ordiano;Simon Waczowicz;Veit Hagenmeyer;Ralf Mikut

Frequent Co-Authors

Uwe Strähle
Uwe Strähle Karlsruhe Institute of Technology
Timm Faulwasser
Timm Faulwasser Hamburg University of Technology
Frank Hoffmann
Frank Hoffmann TU Dortmund University
Peter N. Golyshin
Peter N. Golyshin Bangor University
G. Ulrich Nienhaus
G. Ulrich Nienhaus Karlsruhe Institute of Technology
David Liebetanz
David Liebetanz University of Göttingen
Tanja Schultz
Tanja Schultz University of Bremen
Stefan Schulz
Stefan Schulz Technische Universität Braunschweig
Peter Sanders
Peter Sanders Karlsruhe Institute of Technology
Nicholas S. Foulkes
Nicholas S. Foulkes Karlsruhe Institute of Technology

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