World's Best Scientists 2026 revealed!
Diederik Verkest

Diederik Verkest

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
9203
World Ranking
2697
National Ranking
62

Computer Science

D-Index
51
Citations
9163
World Ranking
5394
National Ranking
61

Diederik Verkest publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Diederik Verkest sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 264 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Diederik Verkest D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Diederik Verkest sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Diederik Verkest is affiliated with Imec in Belgium and works primarily in the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Artificial Intelligence, and Computer Vision and Pattern Recognition. Their research contributions span several interconnected domains including advanced memory and neural computing, ferroelectric and negative capacitance devices, and advanced neural network applications.

The scientist's publication record includes a series of recent papers that emphasize energy-efficient and hybrid neural network systems, analog in-memory computing, and semiconductor technologies. Notable papers include:

  • DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC, 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge, 2022, IEEE Journal of Solid-State Circuits
  • IGZO-Based Compute Cell for Analog In-Memory Computing-DTCO Analysis to Enable Ultralow-Power AI at Edge, 2020, IEEE Transactions on Electron Devices
  • A Holistic Evaluation of Buried Power Rails and Back-Side Power for Sub-5 nm Technology Nodes, 2022, IEEE Transactions on Electron Devices
  • OxRRAM-Based Analog in-Memory Computing for Deep Neural Network Inference: A Conductance Variability Study, 2021, IEEE Transactions on Electron Devices

Their frequent coauthors include Peter Debacker (9 collaborations), Arindam Mallik (6), Debjyoti Bhattacharjee (5), Ioannis A. Papistas (4), and Jonas Doevenspeck (4).

Diederik Verkest has contributed multiple times to prominent publication venues. Among these:

  • IEEE Transactions on Electron Devices (3 publications)
  • 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2 publications)
  • 2022 IEEE International Solid-State Circuits Conference (ISSCC) (1 publication)
  • IEEE Journal of Solid-State Circuits (1 publication)
  • ACM Transactions on Design Automation of Electronic Systems (1 publication)

Their main research topics include:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Neural Network Applications
  • Semiconductor materials and devices
  • Machine Learning and Extreme Learning Machines (ELM)
  • Neural Networks and Applications
  • CCD and CMOS Imaging Sensors

This collective body of work reflects a technical focus on energy-efficient computing architectures, neural network integration at the hardware level, and semiconductor device innovation directed towards enabling ultralow-power artificial intelligence systems, particularly for edge computing applications.

Best Publications

  • ADRES: an architecture with tightly coupled VLIW processor and coarse-grained reconfigurable Matrix

    Bingfeng Mei;Serge Vernalde;Diederik Verkest;Hugo De Man

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

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

  • Device Exploration of NanoSheet Transistors for Sub-7-nm Technology Node

    Doyoung Jang;Dmitry Yakimets;Geert Eneman;Pieter Schuddinck

  • Interconnection Networks Enable Fine-Grain Dynamic Multi-tasking on FPGAs

    Théodore Marescaux;Andrei Bartic;Diederik Verkest;Diederik Verkest;Serge Vernalde

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

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

  • Vertical GAAFETs for the Ultimate CMOS Scaling

    Dmitry Yakimets;Geert Eneman;Pieter Schuddinck;Trong Huynh Bao

  • 3-D Technology Assessment: Path-Finding the Technology/Design Sweet-Spot

    P. Marchal;B. Bougard;G. Katti;M. Stucchi

  • 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

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

    Bingfeng Mei;Serge Vernalde;Diederik Verkest;Rudy Lauwereins

  • CoWare-a design environment for heterogeneous hardware/software systems

    K. Van Rompaey;D. Verkest;I. Bolsens;H. De Man

  • CoWare—A design environment for heterogeneous hardware/software systems

    Unknown

  • Hardware/software co-design of digital telecommunication systems

    I. Bolsens;H.J. De Man;B. Lin;K. Van Rompaey

  • Centralized Run-Time Resource Management in a Network-on-Chip Containing Reconfigurable Hardware Tiles

    V. Nollet;T. Marescaux;P. Avasare;D. Verkest

  • 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

  • Networks on chip as hardware components of an OS for reconfigurable systems

    Théodore Marescaux;Jean-Yves Mignolet;T. Andrei Bartic;W. Moffat

  • Impact of Wire Geometry on Interconnect RC and Circuit Delay

    Ivan Ciofi;Antonino Contino;Philippe J. Roussel;Rogier Baert

  • Operating-system controlled network on chip

    Vincent Nollet;Théodore Marescaux;Diederik Verkest;Jean-Yves Mignolet

  • Concurrent timed digital system design method and environment

    Johan Cockx;Diederik Verkest

  • Operating system based software generation for systems-on-chip

    D. Desmet;D. Verkest;H. De Man

  • Topology adaptive network-on-chip design and implementation

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

  • Real-time high-definition stereo matching on FPGA

    Lu Zhang;Ke Zhang;Tian Sheuan Chang;Gauthier Lafruit

Frequent Co-Authors

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