World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
16791
World Ranking
1822
National Ranking
723

Boris Murmann 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 Boris Murmann 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: 260 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Boris Murmann 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 Boris Murmann 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: 58 D-Index — 74th percentile

74% 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

  • 2015 - IEEE Fellow For contributions to the design of digitally-assisted analog integrated circuits

Overview

Boris Murmann is affiliated with the University of Hawaii at Manoa in the United States. Their research primarily spans the field of Engineering, with a particular focus on Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence, Molecular Biology, and Computer Vision and Pattern Recognition.

Their work covers a variety of specialized topics, including:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Analog and Mixed-Signal Circuit Design
  • CCD and CMOS Imaging Sensors
  • Advanced biosensing and bioanalysis techniques
  • Neuroscience and Neural Engineering
  • Advanced Neural Network Applications

Some of the recent papers authored or co-authored by Boris Murmann are:

  • Mixed-Signal Computing for Deep Neural Network Inference, 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Power-saving design opportunities for wireless intracortical brain-computer interfaces, 2020, Nature Biomedical Engineering
  • Accelerated Electron Transfer in Nanostructured Electrodes Improves the Sensitivity of Electrochemical Biosensors, 2021, Advanced Science
  • CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference, 2022, IEEE Journal of Solid-State Circuits
  • Analog IC Design Using Precomputed Lookup Tables: Challenges and Solutions, 2020, IEEE Access

Boris Murmann's frequent co-authors include:

  • Dante G. Muratore
  • Vladimir Kesler
  • Pumiao Yan
  • E. J. Chichilnisky
  • Kaiyu Fu

Their publications are often featured in the following venues:

  • IEEE Journal of Solid-State Circuits
  • IEEE Solid-State Circuits Magazine
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Boris Murmann has also contributed to published books, including a book titled NANO-CHIPS 2030 released by Springer Nature in 2020.

Recognition for their work includes being named an IEEE Fellow in 2015 for contributions to the design of digitally-assisted analog integrated circuits.

Best Publications

  • Skin electronics from scalable fabrication of an intrinsically stretchable transistor array.

    Sihong Wang;Jie Xu;Weichen Wang;Ging-Ji Nathan Wang

  • Highly stretchable, transparent, and conductive polymer

    Yue Wang;Zhenan Bao

  • Highly stretchable polymer semiconductor films through the nanoconfinement effect

    Jie Xu;Sihong Wang;Ging Ji Nathan Wang;Chenxin Zhu

  • A 12-GS/s 81-mW 5-bit Time-Interleaved Flash ADC With Background Timing Skew Calibration

    M El-Chammas;B Murmann

  • A 12-bit 75-MS/s pipelined ADC using open-loop residue amplification

    B. Murmann;B.E. Boser

  • Convolutional Neural Networks using Logarithmic Data Representation

    Daisuke Miyashita;Edward H. Lee;Boris Murmann

  • Matrix-insensitive protein assays push the limits of biosensors in medicine

    Richard S Gaster;Drew A Hall;Carsten H Nielsen;Carsten H Nielsen;Carsten H Nielsen;Sebastian J Osterfeld

  • Multi-scale ordering in highly stretchable polymer semiconducting films.

    Jie Xu;Jie Xu;Hung-Chin Wu;Chenxin Zhu;Anatol Ehrlich

  • Stretchable temperature-sensing circuits with strain suppression based on carbon nanotube transistors

    Chenxin Zhu;Alex Chortos;Yue Wang;Raphael Pfattner

  • A/D converter trends: Power dissipation, scaling and digitally assisted architectures

    B. Murmann

  • HermesE: A 96-Channel Full Data Rate Direct Neural Interface in 0.13 $\mu$ m CMOS

    Hua Gao;R. M. Walker;P. Nuyujukian;K. A. A. Makinwa

  • An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS

    Daniel Bankman;Lita Yang;Bert Moons;Marian Verhelst

  • An Analysis of Latch Comparator Offset Due to Load Capacitor Mismatch

    A. Nikoozadeh;B. Murmann

  • GMR biosensor arrays: A system perspective

    D.A. Hall;R.S. Gaster;T. Lin;S.J. Osterfeld

  • Digitally Assisted Analog Circuits

    B. Murmann

  • A 12-Bit 75-MS/s Pipelined ADC Using Incomplete Settling

    E. Iroaga;B. Murmann

  • Power Dissipation Bounds for High-Speed Nyquist Analog-to-Digital Converters

    T. Sundstrom;B. Murmann;C. Svensson

  • Systematic Design of Analog CMOS Circuits: Using Pre-Computed Lookup Tables

    Unknown

  • LogNet: Energy-efficient neural networks using logarithmic computation

    Edward H. Lee;Daisuke Miyashita;Elaina Chai;Boris Murmann

  • Impact of Scaling on Analog Performance and Associated Modeling Needs

    B. Murmann;P. Nikaeen;D.J. Connelly;R.W. Dutton

  • General Analysis on the Impact of Phase-Skew in Time-Interleaved ADCs

    M. El-Chammas;B. Murmann

  • A 9.4-bit, 50-MS/s, 1.44-mW Pipelined ADC Using Dynamic Source Follower Residue Amplification

    J. Hu;N. Dolev;B. Murmann

  • An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS

    Daniel Bankman;Lita Yang;Bert Moons;Marian Verhelst

Frequent Co-Authors

Zhenan Bao
Zhenan Bao Stanford University
Thomas W. Kenny
Thomas W. Kenny Stanford University
Matthew A. Hopcroft
Matthew A. Hopcroft University of California, Berkeley
Rob N. Candler
Rob N. Candler University of California, Los Angeles
Hagen Klauk
Hagen Klauk Max Planck Institute for Solid State Research
Shan X. Wang
Shan X. Wang Stanford University
Ute Zschieschang
Ute Zschieschang Max Planck Institute for Solid State Research
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Xiaodan Gu
Xiaodan Gu University of Southern Mississippi

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