World's Best Scientists 2026 revealed!
Rudy Lauwereins

Rudy Lauwereins

D-Index & Metrics

Computer Science

D-Index
38
Citations
6668
World Ranking
10178
National Ranking
97

Rudy Lauwereins 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 Rudy Lauwereins 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: 318 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Rudy Lauwereins 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 Rudy Lauwereins 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to data flow models in real-time prototyping

Overview

Rudy Lauwereins is affiliated with KU Leuven in Belgium and has contributed extensively to the field of engineering, with a specialized focus on electrical and electronic engineering. Their research spans areas including ferroelectric and negative capacitance devices, semiconductor materials and devices, advancements in semiconductor devices and circuit design, advanced memory and neural computing, radio frequency integrated circuit design, advanced neural network applications, and machine learning and extreme learning machines.

The scientist's recent published papers illustrate a strong involvement in integrated circuit design and neural network acceleration technologies. Notable publications include:

  • "84%-Efficiency Fully Integrated Voltage Regulator for Computing Systems Enabled by 2.5-D High-Density MIM Capacitor" (2022), IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • "OxRRAM-Based Analog in-Memory Computing for Deep Neural Network Inference: A Conductance Variability Study" (2021), IEEE Transactions on Electron Devices
  • "Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration" (2022), ACM Transactions on Design Automation of Electronic Systems
  • "System Optimization: High-Frequency Buck Converter With 3-D In-Package Air-Core Inductor" (2021), IEEE Transactions on Components Packaging and Manufacturing Technology
  • "Efficient Backside Power Delivery for High-Performance Computing Systems" (2022), IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Lauwereins has frequently published in several well-regarded venues, including:

  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • ACM Transactions on Design Automation of Electronic Systems
  • IEEE Transactions on Electron Devices
  • IEEE Transactions on Components Packaging and Manufacturing Technology

Collaboration is evident in their repeated work with several co-authors, such as Hesheng Lin, Dimitrios Velenis, Xiao Sun, Francky Catthoor, and Geert Van der Plas.

Recognized by the IEEE as a Fellow in 2012, the award cited their contributions to data flow models in real-time prototyping. This distinction reflects engagement in both theoretical and applied aspects of electronic engineering research.

Best Publications

  • Cycle-static dataflow

    G. Bilsen;M. Engels;R. Lauwereins;J. Peperstraete

  • DRESC: a retargetable compiler for coarse-grained reconfigurable architectures

    Bingfeng Mei;S. Vernalde;D. Verkest;H. De Man

  • Cyclo-static data flow

    G. Bilsen;M. Engels;R. Lauwereins;J.A. Peperstraete

  • Exploiting Loop-Level Parallelism on Coarse-Grained Reconfigurable Architectures Using Modulo Scheduling

    Bingfeng Mei;S. Vernalde;D. Verkest;H. De Man

  • Infrastructure for Design and Management of Relocatable Tasks in a Heterogeneous Reconfigurable System-on-Chip

    J.-Y. Mignolet;V. Nollet;P. Coene;D. Verkest

  • Architecture exploration for a reconfigurable architecture template

    Unknown

  • Grape-II: a system-level prototyping environment for DSP applications

    R. Lauwereins;M. Engels;M. Ade;J.A. Peperstraete

  • Design methodology for a tightly coupled VLIW/reconfigurable matrix architecture: a case study

    Bingfeng Mei;Serge Vernalde;Diederik Verkest;Rudy Lauwereins

  • Designing an operating system for a heterogeneous reconfigurable SoC

    V. Nollet;P. Coene;D. Verkest;S. Vernalde

  • Energy-Aware Runtime Scheduling for Embedded-Multiprocessor SOCs

    Unknown

  • Reconfigurable instruction set processors from a hardware/software perspective

    F. Barat;R. Lauwereins;G. Deconinck

  • Topology adaptive network-on-chip design and implementation

    T.A. Bartic;J.-Y. Mignolet;V. Nollet;T. Marescaux

  • Managing dynamic concurrent tasks in embedded real-time multimedia systems

    Peng Yang;Paul Marchal;Chun Wong;Stefaan Himpe

  • GRAPE: a CASE tool for digital signal parallel processing

    R. Lauwereins;M. Engels;J. Peperstraete;E. Steegmans

  • A scalable 8.7nJ/bit 75.6Mb/s parallel concatenated convolutional (turbo-) CODEC

    B. Bougard;A. Giulietti;V. Derudder;J.-W. Weijers

  • Highly scalable network on chip for reconfigurable systems

    T.A. Bartic;J.-Y. Mignolet;V. Nollet;T. Marescaux

  • Run-time support for heterogeneous multitasking on reconfigurable SoCs

    T. Marescaux;V. Nollet;J.-Y. Mignolet;A. Bartic

  • SIFER: Scale-Invariant Feature Detector with Error Resilience

    Pradip Mainali;Gauthier Lafruit;Qiong Yang;Bert Geelen

  • Comparison of Reaction-Diffusion and Atomistic Trap-Based BTI Models for Logic Gates

    Halil Kukner;Seyab Khan;Pieter Weckx;Praveen Raghavan

  • Hardware-software codesign with GRAPE

    M. Ade;R. Lauwereins;J.A. Peperstraete

  • A Coarse-Grained Array Accelerator for Software-Defined Radio Baseband Processing

    B. Bougard;B. De Sutter;D. Verkest;L. Van der Perre

  • Enabling hardware-software multitasking on a reconfigurable computing platform for networked portable multimedia appliances

    Jean-Yves Mignolet;Serge Vernalde;Diederik Verkest;Rudy Lauwereins

  • Design, Automation, and Test in Europe

    Rudy Lauwereins;Jan Madsen

  • Proceedings of the conference on Design, automation and test in Europe

    Rudy Lauwereins;Jan Madsen

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