World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
9334
World Ranking
4409
National Ranking
1573

Duygu Kuzum 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 Duygu Kuzum 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: 91 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Duygu Kuzum 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 Duygu Kuzum 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: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Duygu Kuzum is affiliated with the University of California, San Diego in the United States. Their research spans multiple disciplines, primarily focusing on Neuroscience and Engineering.

The scientist's work covers several main fields of study:

  • Neuroscience
  • Engineering

Within these broader fields, Kuzum has engaged in several subfields including:

  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience
  • Cognitive Neuroscience
  • Artificial Intelligence
  • Biomedical Engineering

The main research topics include:

  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Photoreceptor and optogenetics research
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Machine Learning and ELM

Kuzum has contributed to several frequent publication venues, such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Nanotechnology
  • Nature Communications
  • IEEE Transactions on Electron Devices
  • arXiv (Cornell University)

Recent papers authored or co-authored by Duygu Kuzum include:

  • Energy-efficient Mott activation neuron for full-hardware implementation of neural networks, 2021, Nature Nanotechnology
  • Multimodal monitoring of human cortical organoids implanted in mice reveal functional connection with visual cortex, 2022, Nature Communications
  • Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge, 2024, Nature Communications
  • Multimodal neural recordings with Neuro-FITM uncover diverse patterns of cortical-hippocampal interactions, 2021, Nature Neuroscience
  • High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings, 2024, Nature Nanotechnology

Frequent co-authors who have collaborated with Kuzum over multiple publications include:

  • Xin Liu
  • Mehrdad Ramezani
  • Madison N. Wilson
  • Yichen Lu
  • Sangheon Oh

Best Publications

  • Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing.

    Duygu Kuzum;Rakesh G. D. Jeyasingh;Byoungil Lee;H.-S. Philip Wong

  • Synaptic electronics: materials, devices and applications

    Duygu Kuzum;Duygu Kuzum;Shimeng Yu;Shimeng Yu;H-S Philip Wong

  • An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation

    Shimeng Yu;Yi Wu;R. Jeyasingh;D. Kuzum

  • Artificial optic-neural synapse for colored and color-mixed pattern recognition

    Seunghwan Seo;Seo Hyeon Jo;Sungho Kim;Jaewoo Shim

  • Transparent, flexible, low-noise graphene electrodes for simultaneous electrophysiology and neuro-imaging

    Duygu Kuzum;Ertugrul Cubukcu;Brian Litt

  • Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex

    Ki Jun Yu;Duygu Kuzum;Duygu Kuzum;Suk Won Hwang;Bong Hoon Kim

  • On the Correct Extraction of Interface Trap Density of MOS Devices With High-Mobility Semiconductor Substrates

    K. Martens;Chi On Chui;G. Brammertz;B. De Jaeger

  • Ge-Interface Engineering With Ozone Oxidation for Low Interface-State Density

    D. Kuzum;T. Krishnamohan;A.J. Pethe;A.K. Okyay

  • Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

    Sukru Burc Eryilmaz;Duygu Kuzum;Rakesh Gnana David Jeyasingh;SangBum Kim

  • Flexible Neural Electrode Array Based-on Porous Graphene for Cortical Microstimulation and Sensing.

    Yichen Lu;Hongming Lyu;Andrew G. Richardson;Timothy H. Lucas

  • Deep 2-photon imaging and artifact-free optogenetics through transparent graphene microelectrode arrays.

    Martin Thunemann;Yichen Lu;Xin Liu;Kıvılcım Kılıç

  • N-Channel Germanium MOSFET Fabricated Below 360 $^{ \circ}\hbox{C}$ by Cobalt-Induced Dopant Activation for Monolithic Three-Dimensional-ICs

    Jin-Hong Park;D Kuzum;Woo-Shik Jung;K C Saraswat

  • Energy-efficient Mott activation neuron for full-hardware implementation of neural networks.

    Sangheon Oh;Yuhan Shi;Javier del Valle;Pavel Salev

  • Ge (100) and (111) N- and P-FETs With High Mobility and Low- $T$ Mobility Characterization

    D. Kuzum;A.J. Pethe;T. Krishnamohan;K.C. Saraswat

  • High-Mobility Ge N-MOSFETs and Mobility Degradation Mechanisms

    Duygu Kuzum;Tejas Krishnamohan;Aneesh Nainani;Yun Sun

  • Low-Energy Robust Neuromorphic Computation Using Synaptic Devices

    D. Kuzum;R. G. D. Jeyasingh;Shimeng Yu;H.-S P. Wong

  • Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

    Yuhan Shi;Leon Nguyen;Sangheon Oh;Xin Liu

  • Device and system level design considerations for analog-non-volatile-memory based neuromorphic architectures

    S. Burc Eryilmaz;Duygu Kuzum;Shimeng Yu;H.-S. Philip Wong

  • Interface-Engineered Ge (100) and (111), N- and P-FETs with High Mobility

    D. Kuzum;A.J. Pethe;T. Krishnamohan;Y. Oshima

  • Ultralow Impedance Graphene Microelectrodes with High Optical Transparency for Simultaneous Deep Two‐Photon Imaging in Transgenic Mice

    Yichen Lu;Xin Liu;Ryoma Hattori;Chi Ren

Frequent Co-Authors

Krishna C. Saraswat
Krishna C. Saraswat Stanford University
H.-S. Philip Wong
H.-S. Philip Wong Stanford University
Takaki Komiyama
Takaki Komiyama University of California, San Diego
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Brian Litt
Brian Litt University of Pennsylvania
Ali Kemal Okyay
Ali Kemal Okyay Stanford University
Anna Devor
Anna Devor Boston University
Chung H. Lam
Chung H. Lam IBM (United States)
Paul C. McIntyre
Paul C. McIntyre Stanford University
Sang-Bum Kim
Sang-Bum Kim Seoul National University

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Related Online Degrees & Career Pathways

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When considering career options, it’s important to recognize that certain tech-related positions align well with personal work styles. For example, many jobs for introverts that pay well exist within engineering and project management, offering a balance of technical challenge and focused work environments.

By combining technical engineering skills with project management expertise through flexible online programs, graduates can position themselves for a wide range of rewarding career pathways in the USA.

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