World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9676
World Ranking
7129
National Ranking
345

Jürgen Becker 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 Jürgen Becker 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: 705 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Jürgen Becker 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 Jürgen Becker 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Jürgen Becker is affiliated with the Karlsruhe Institute of Technology in Germany and conducts research primarily in Physics and Astronomy, as well as Computer Science. Their work spans a broad range of topics with a focus on Nuclear and High Energy Physics, Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, and Computer Networks and Communications.

The scientist's core research interests include particle physics theoretical and experimental studies, quantum chromodynamics and particle interactions, high-energy particle collisions research, particle detector development and performance, neutrino physics research, computational physics and Python applications, and dark matter and cosmic phenomena.

Recent publications by Jürgen Becker cover various aspects of particle physics and experimental studies. Notable papers include:

  • Search for Axionlike Particles Produced in e+e Collisions at Belle II, 2020, Physical Review Letters
  • Applications and Techniques for Fast Machine Learning in Science, 2022, Frontiers in Big Data
  • Evidence for B+ → K+νν̄ decays, 2024, Physical Review D
  • Search for B+ → K+νν̄ Decays Using an Inclusive Tagging Method at Belle II, 2021, Physical Review Letters
  • Search for an Invisibly Decaying Z' Boson at Belle II in e+e → μ+μ (e±μ) Plus Missing Energy Final States, 2020, Physical Review Letters

The scientist collaborates frequently with several coauthors, including:

  • J. Baudot
  • T. E. Browder
  • M. Campajola
  • P. Branchini
  • E. De La Cruz-Burelo

Jürgen Becker's research has been published in a variety of scientific venues, with repeated contributions to:

  • arXiv (Cornell University)
  • Physical Review D
  • Physical Review Letters
  • Journal of High Energy Physics
  • Journal of Instrumentation

Best Publications

  • Error Vector Magnitude as a Performance Measure for Advanced Modulation Formats

    R. Schmogrow;B. Nebendahl;M. Winter;A. Josten

  • 26 Tbit s-1 line-rate super-channel transmission utilizing all-optical fast Fourier transform processing

    D. Hillerkuss;R. Schmogrow;T. Schellinger;M. Jordan

  • Real-time Nyquist pulse generation beyond 100 Gbit/s and its relation to OFDM

    R. Schmogrow;M. Winter;M. Meyer;D. Hillerkuss

  • An FPGA run-time system for dynamical on-demand reconfiguration

    M. Ullmann;M. Huebner;B. Grimm;J. Becker

  • Dynamic and Partial FPGA Exploitation

    J. Becker;M. Hubner;G. Hettich;R. Constapel

  • Integrated data processing core and array data processor and method for processing algorithms

    Martin Vorbach;Jürgen Becker;Markus Weinhardt;Volker Baumgarte

  • Real-Time Software-Defined Multiformat Transmitter Generating 64QAM at 28 GBd

    R Schmogrow;D Hillerkuss;M Dreschmann;M Huebner

  • Architecture, memory and interface technology integration of an industrial/ academic configurable system-on-chip (CSoC)

    J. Becker;M. Vorbach

  • A multi-platform controller allowing for maximum Dynamic Partial Reconfiguration throughput

    C. Claus;B. Zhang;W. Stechele;L. Braun

  • Architecture and application of a dynamically reconfigurable hardware array for future mobile communication systems

    A. Alsolaim;J. Becker;M. Glesner;J. Starzyk

  • Real-time LUT-based network topologies for dynamic and partial FPGA self-reconfiguration

    Unknown

  • Parallelization in co-compilation for configurable accelerators-a host/accelerator partitioning compilation method

    J. Becker;R. Hartenstein;M. Herz;U. Nageldinger

  • New 2-dimensional partial dynamic reconfiguration techniques for real-time adaptive microelectronic circuits

    M. Hiibner;C. Schuck;M. Kiihnle;J. Becker

  • Configware and morphware going mainstream

    Jürgen Becker;Reiner Hartenstein

  • Energy Model of Networks-on-Chip and a Bus

    P.T. Wolkotte;G.J.M. Smit;N. Kavaldjiev;J.E. Becker

  • Technical Design Report for the: PANDA Straw Tube Tracker

    W. Erni;I. Keshelashvili;B. Krusche

  • Power estimation and power measurement of Xilinx Virtex FPGAs: trade-offs and limitations

    Unknown

  • MORPHEUS: Heterogeneous Reconfigurable Computing

    F. Thoma;M. Kuhnle;P. Bonnot;E.M. Panainte

  • KAHRISMA: a novel hypermorphic reconfigurable-instruction-set multi-grained-array architecture

    Ralf Koenig;Lars Bauer;Timo Stripf;Muhammad Shafique

  • Technical design report for the PANDA (AntiProton Annihilations at Darmstadt) Straw Tube Tracker

    W. Erni;I. Keshelashvili;B. Krusche;M. Steinacher

  • Technical Design Report for PANDA Electromagnetic Calorimeter (EMC)

    W. Erni;I. Keshelashvili;B. Krusche;M. Steinacher

  • Fast dynamic and partial reconfiguration data path with low hardware overhead on Xilinx FPGAs

    Michael Hubner;Diana Gohringer;Juanjo Noguera;Jurgen Becker

  • Real-time configuration code decompression for dynamic FPGA self-reconfiguration

    M. Huebner;M. Ullmann;F. Weissel;J. Becker

  • An Optically Powered Video Camera Link

    G. Bottger;M. Dreschmann;C. Klamouris;M. Hubner

  • Multiprocessor system-on-chip : hardware design and tool integration

    Michael Hübner;Jürgen Becker

  • Field Programmable Logic and Application

    Jürgen Becker;Marco Platzner;Serge Vernalde

Frequent Co-Authors

Daniel P Cronin-Hennessy
Daniel P Cronin-Hennessy University of Minnesota
R. A. Briere
R. A. Briere Carnegie Mellon University

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