World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
6142
World Ranking
5101
National Ranking
1774

Michael Niemier 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 Michael Niemier 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: 218 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Michael Niemier 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 Michael Niemier 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Michael Niemier is affiliated with the University of Notre Dame in the United States, working primarily in the fields of Engineering and Computer Science. Their research spans multiple subfields, including Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, and Computer Vision and Pattern Recognition.

The scientist's main research topics cover a range of areas related to memory and computing technologies. Key topics include Ferroelectric and Negative Capacitance Devices, Advanced Memory and Neural Computing, Semiconductor Materials and Devices, Advanced Data Storage Technologies, Network Packet Processing and Optimization, Machine Learning and Extreme Learning Machines, and Cryptography and Data Security.

Some of their recent publications are:

  • Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search, 2022, Nature Communications
  • In-Memory Computing with Associative Memories: A Cross-Layer Perspective, 2021, 2021 IEEE International Electron Devices Meeting (IEDM)
  • Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption, 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search, 2021, IEEE Transactions on Computers
  • Achieving software-equivalent accuracy for hyperdimensional computing with ferroelectric-based in-memory computing, 2022, Scientific Reports

Frequent co-authors in the scientist's work include Xiaobo Sharon Hu, Ann Franchesca Laguna, Xunzhao Yin, Dayane Reis, and Arman Kazemi.

Publication venues where Michael Niemier has contributed multiple works include arXiv (Cornell University), IEEE Transactions on Electron Devices, IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, and IEEE Design and Test.

Best Publications

  • Scaling for edge inference of deep neural networks

    Xiaowei Xu;Yukun Ding;Sharon Xiaobo Hu;Michael Niemier

  • Ferroelectric ternary content-addressable memory for one-shot learning

    Kai Ni;Xunzhao Yin;Ann Franchesca Laguna;Siddharth Joshi

  • Problems in designing with QCAs: Layout = Timing

    Michael T. Niemier;Peter M. Kogge

  • Nanomagnet logic: progress toward system-level integration.

    M T Niemier;G H Bernstein;G Csaba;A Dingler

  • FeCAM: A Universal Compact Digital and Analog Content Addressable Memory Using Ferroelectric

    Xunzhao Yin;Chao Li;Qingrong Huang;Li Zhang

  • On-Chip Clocking for Nanomagnet Logic Devices

    Mohmmad Tanvir Alam;Mohammad Jafar Siddiq;Gary H Bernstein;Michael Niemier

  • Logic in wire: using quantum dots to implement a microprocessor

    M.T. Niemier;P.M. Kogge

  • Clocking structures and power analysis for nanomagnet-based logic devices

    M. Niemier;M. Alam;X. S. Hu;G. Bernstein

  • A ferroelectric field effect transistor based synaptic weight cell

    Matthew Jerry;Sourav Dutta;Arman Kazemi;Kai Ni

  • Analog Circuit Design Using Tunnel-FETs

    Behnam Sedighi;Xiaobo Sharon Hu;Huichu Liu;Joseph J. Nahas

  • An Ultra-Dense 2FeFET TCAM Design Based on a Multi-Domain FeFET Model

    Xunzhao Yin;Kai Ni;Dayane Reis;Suman Datta

  • Shape Engineering for Controlled Switching With Nanomagnet Logic

    M. T. Niemier;E. Varga;G. H. Bernstein;W. Porod

  • Ferroelectric FETs-Based Nonvolatile Logic-in-Memory Circuits

    Xunzhao Yin;Xiaoming Chen;Michael Niemier;Xiaobo Sharon Hu

  • A design of and design tools for a novel quantum dot based microprocessor

    Michael T. Niemier;Michael J. Kontz;Peter M. Kogge

  • Logic in wire: using quantum dots to implement a microprocessor

    M.T. Niemier;P.M. Kogge

  • Emerging Technology-Based Design of Primitives for Hardware Security

    Yu Bi;Kaveh Shamsi;Jiann-Shiun Yuan;Pierre-Emmanuel Gaillardon

  • Quantum-dot cellular automata (QCA) circuit partitioning: problem modeling and solutions

    D.A. Antonelli;D.Z. Chen;T.J. Dysart;X.S. Hu

  • Computing in memory with FeFETs

    Dayane Reis;Michael Niemier;X. Sharon Hu

  • Experimental Demonstration of Fanout for Nanomagnetic Logic

    E Varga;A Orlov;M T Niemier;X S Hu

  • Exploring and exploiting wire-level pipelining in emerging technologies

    Michael Thaddeus Niemier;Peter M. Kogge

  • Design and benchmarking of ferroelectric FET based TCAM

    Xunzhao Yin;Michael Niemier;X. Sharon Hu

  • Author Correction: Ferroelectric ternary content-addressable memory for one-shot learning

    Kai Ni;Xunzhao Yin;Ann Franchesca Laguna;Siddharth Joshi

Frequent Co-Authors

Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Wolfgang Porod
Wolfgang Porod University of Notre Dame
Gary H. Bernstein
Gary H. Bernstein University of Notre Dame
Suman Datta
Suman Datta Georgia Institute of Technology
Alexei O. Orlov
Alexei O. Orlov University of Notre Dame
Peng Li
Peng Li University of California, Santa Barbara
Yier Jin
Yier Jin University of Florida
Peter M. Kogge
Peter M. Kogge University of Notre Dame
Paolo Lugli
Paolo Lugli Free University of Bozen-Bolzano
Pierre-Emmanuel Gaillardon
Pierre-Emmanuel Gaillardon University of Utah

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in studying Electronics and Electrical Engineering, exploring related online degrees and career pathways can provide flexible and efficient options to boost your qualifications. Many students seek programs from online colleges with frequent start dates, allowing them to begin their studies quickly without waiting for traditional semester schedules.

If you want to fast-track your entry into the workforce, consider pursuing quick certifications that pay well. These programs can enhance specific technical skills or knowledge areas that complement your engineering background.

Electrical engineering careers often require focused work environments, which can be especially appealing for jobs for introverts. Roles such as design engineering, system testing, and research provide opportunities for deep concentration and independent problem-solving.

Additionally, combining technical expertise with leadership skills is valuable. Enrolling in an online project management degree accelerated program can prepare you for managing complex engineering projects efficiently, increasing your career versatility.

Best Scientists Citing Michael Niemier

Trending Scientists

Recently Published Articles