World's Best Scientists 2026 revealed!
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Computer Science
Germany
2023

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
65
Citations
17864
World Ranking
1201
National Ranking
33

Computer Science

D-Index
65
Citations
17927
World Ranking
2451
National Ranking
104

Jorg Henkel 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 Jorg Henkel 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: 652 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Jorg Henkel 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 Jorg Henkel 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Computer Science in Germany Leader Award

Overview

Jorg Henkel is affiliated with the Karlsruhe Institute of Technology in Germany. Their research spans multiple areas within engineering and computer science, focusing significantly on electrical and electronic engineering, hardware and architecture, and artificial intelligence. Henkel's work also covers computer networks and communications along with computer vision and pattern recognition.

The scientist has contributed extensively to topics such as advanced memory and neural computing, ferroelectric and negative capacitance devices, parallel computing and optimization techniques, semiconductor materials and devices, physical unclonable functions and hardware security, low-power high-performance VLSI design, and radiation effects in electronics.

Recent publications by Henkel include:

  • Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey, 2022, ACM Computing Surveys
  • A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends, 2024, IEEE Access
  • Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators, 2020, IEEE Transactions on Circuits and Systems I Regular Papers
  • MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper, 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey, 2023, ACM Computing Surveys

Henkel often collaborates with several frequent coauthors, including:

  • Hussam Amrouch
  • Georgios Zervakis
  • Martin Rapp
  • Lars Bauer
  • Heba Khdr

The scientist publishes regularly in key venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Design and Test
  • IEEE Access
  • IEEE Transactions on Computers

Henkel has authored books as well, including the work Dependable Embedded Systems, published in 2020 by Springer Nature.

Best Publications

  • Hardware-software cosynthesis for microcontrollers

    R. Ernst;J. Henkel;T. Benner

  • Mapping on multi/many-core systems: survey of current and emerging trends

    Amit Kumar Singh;Muhammad Shafique;Akash Kumar;Jorg Henkel

  • A low latency generic accuracy configurable adder

    Muhammad Shafique;Waqas Ahmad;Rehan Hafiz;Jorg Henkel

  • On-chip networks: a scalable, communication-centric embedded system design paradigm

    J. Henkel;W. Wolf;S. Chakradhar

  • IoT technologies for embedded computing: a survey

    Farzad Samie;Lars Bauer;Jorg Henkel

  • A framework for estimating and minimizing energy dissipation of embedded HW/SW systems

    Yanbing Li;Jörg Henkel

  • System-level exploration for pareto-optimal configurations in parameterized systems-on-a-chip

    Tony Givargis;Frank Vahid;Jörg Henkel

  • ADAM: run-time agent-based distributed application mapping for on-chip communication

    M.A. Al Faruque;R. Krist;J. Henkel

  • From Cloud Down to Things: An Overview of Machine Learning in Internet of Things

    Farzad Samie;Lars Bauer;Jorg Henkel

  • Reliable on-chip systems in the nano-era: lessons learnt and future trends

    Jorg Henkel;Lars Bauer;Nikil Dutt;Puneet Gupta

  • The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives

    Muhammad Shafique;Siddharth Garg;Jörg Henkel;Diana Marculescu

  • Code compression for low power embedded system design

    Haris Lekatsas;Jörg Henkel;Wayne Wolf

  • Power- and area-efficient Approximate Wallace Tree Multiplier for error-resilient systems

    Kartikeya Bhardwaj;Pravin S. Mane;Jorg Henkel

  • An approach to automated hardware/software partitioning using a flexible granularity that is driven by high-level estimation techniques

    J. Henkel;R. Ernst

  • Invasive Computing: An Overview

    Jürgen Teich;Jörg Henkel;Andreas Herkersdorf;Doris Schmitt-Landsiedel

  • A low power hardware/software partitioning approach for core-based embedded systems

    Jörg Henkel

  • Computation offloading and resource allocation for low-power IoT edge devices

    Farzad Samie;Vasileios Tsoutsouras;Lars Bauer;Sotirios Xydis

  • Architectural-space exploration of approximate multipliers

    Semeen Rehman;Walaa El-Harouni;Muhammad Shafique;Akash Kumar

  • TAPE: thermal-aware agent-based power economy for multi/many-core architectures

    Thomas Ebi;Mohammad Abdullah Al Faruque;Jorg Henkel

  • DistRM: distributed resource management for on-chip many-core systems

    Sebastian Kobbe;Lars Bauer;Daniel Lohmann;Wolfgang Schroder-Preikschat

  • Invited - Cross-layer approximate computing: from logic to architectures

    Muhammad Shafique;Rehan Hafiz;Semeen Rehman;Walaa El-Harouni

Frequent Co-Authors

Muhammad Shafique
Muhammad Shafique New York University Abu Dhabi
Sri Parameswaran
Sri Parameswaran University of Sydney
Jian-Jia Chen
Jian-Jia Chen TU Dortmund University
Wayne Wolf
Wayne Wolf University of Nebraska–Lincoln
Osman Hasan
Osman Hasan National University of Sciences and Technology
Hans-Joachim Wunderlich
Hans-Joachim Wunderlich University of Stuttgart
Tulika Mitra
Tulika Mitra National University of Singapore
Jürgen Teich
Jürgen Teich University of Erlangen-Nuremberg
Frank Vahid
Frank Vahid University of California, Riverside
Yogesh Singh Chauhan
Yogesh Singh Chauhan Indian Institute of Technology Kanpur

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