World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
3343
World Ranking
6427
National Ranking
2108

Shaahin Angizi 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 Shaahin Angizi 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: 138 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Shaahin Angizi 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 Shaahin Angizi 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Shaahin Angizi is affiliated with the New Jersey Institute of Technology in the United States. Their research primarily spans the fields of Engineering and Computer Science, with significant contributions in Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, and Computer Networks and Communications.

The scientist's work focuses on several key areas:

  • Advanced Memory and Neural Computing
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices
  • CCD and CMOS Imaging Sensors
  • Semiconductor Materials and Devices
  • Parallel Computing and Optimization Techniques
  • Advancements in Semiconductor Devices and Circuit Design

Shaahin Angizi has published extensively, with notable recent papers including:

  • "AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration," 2023, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "Hybrid Spin-CMOS Polymorphic Logic Gate With Application in In-Memory Computing," 2020, IEEE Transactions on Magnetics
  • "Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates," 2021, IEEE Transactions on Circuits and Systems I Regular Papers
  • "LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking," 2022, IEEE Computer Architecture Letters
  • "RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems," 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)

Frequent co-authors with Shaahin Angizi include:

  • Arman Roohi
  • Sepehr Tabrizchi
  • Mehrdad Morsali
  • Ranyang Zhou
  • Deliang Fan

The venues where Shaahin has published most frequently include:

  • arXiv (Cornell University)
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • IEEE Computer Architecture Letters
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Best Publications

  • Novel Robust Single Layer Wire Crossing Approach for Exclusive OR Sum of Products Logic Design with Quantum-Dot Cellular Automata

    Shaahin Angizi;Esam Alkaldy;Nader Bagherzadeh;Keivan Navi

  • Designing efficient QCA logical circuits with power dissipation analysis

    Shadi Sheikhfaal;Shaahin Angizi;Soheil Sarmadi;Mohammad Hossein Moaiyeri

  • Design and evaluation of new majority gate-based RAM cell in quantum-dot cellular automata

    Shaahin Angizi;Soheil Sarmadi;Samira Sayedsalehi;Keivan Navi

  • Towards single layer quantum-dot cellular automata adders based on explicit interaction of cells

    Firdous Ahmad;Ghulam Mohiuddin Bhat;Hossein Khademolhosseini;Saeid Azimi

  • Towards ultra-efficient QCA reversible circuits

    Amir Mokhtar Chabi;Arman Roohi;Hossein Khademolhosseini;Shadi Sheikhfaal

  • Efficient QCA Exclusive-or and Multiplexer Circuits Based on a Nanoelectronic-Compatible Designing Approach

    Amir Mokhtar Chabi;Samira Sayedsalehi;Shaahin Angizi;Keivan Navi

  • MRIMA: An MRAM-Based In-Memory Accelerator

    Shaahin Angizi;Zhezhi He;Amro Awad;Deliang Fan

  • CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator

    Shaahin Angizi;Zhezhi He;Adnan Siraj Rakin;Deliang Fan

  • Designing quantum-dot cellular automata counters with energy consumption analysis

    Shaahin Angizi;Mohammad Hossein Moaiyeri;Shohreh Farrokhi;Keivan Navi

  • Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata

    Samira Sayedsalehi;Mostafa Rahimi Azghadi;Shaahin Angizi;Keivan Navi

  • A Parity-Preserving Reversible QCA Gate with Self-Checking Cascadable Resiliency

    Arman Roohi;Ramtin Zand;Shaahin Angizi;Ronald F. DeMara

  • An efficient majority-based compressor for approximate computing in the nano era

    Mohammad Hossein Moaiyeri;Farnaz Sabetzadeh;Shaahin Angizi

  • AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM

    Shaahin Angizi;Jiao Sun;Wei Zhang;Deliang Fan

  • Design of an ultra-efficient reversible full adder-subtractor in quantum-dot cellular automata

    Elham Taherkhani;Mohammad Hossein Moaiyeri;Shaahin Angizi

  • Energy Efficient In-Memory Binary Deep Neural Network Accelerator with Dual-Mode SOT-MRAM

    Deliang Fan;Shaahin Angizi

  • GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM

    Shaahin Angizi;Jiao Sun;Wei Zhang;Deliang Fan

  • Quantum-dot cellular automata circuits with reduced external fixed inputs

    Milad Bagherian Khosroshahy;Mohammad Hossein Moaiyeri;Shaahin Angizi;Nader Bagherzadeh

  • Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption

    Shaahin Angizi;Zhezhi He;Nader Bagherzadeh;Deliang Fan

  • IMCE: energy-efficient bit-wise in-memory convolution engine for deep neural network

    Shaahin Angizi;Zhezhi He;Farhana Parveen;Deliang Fan

  • Majority-Based Spin-CMOS Primitives for Approximate Computing

    Shaahin Angizi;Honglan Jiang;Ronald F. DeMara;Jie Han

  • Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach?

    Shaahin Angizi;Zhezhi He;Dayane Reis;Xiaobo Sharon Hu

  • ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations

    Shaahin Angizi;Deliang Fan

  • PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation

    Shaahin Angizi;Zhezhi He;Deliang Fan

Frequent Co-Authors

Deliang Fan
Deliang Fan Johns Hopkins University
Keivan Navi
Keivan Navi Shahid Beheshti University
Ronald F. DeMara
Ronald F. DeMara University of Central Florida
Nader Bagherzadeh
Nader Bagherzadeh University of California, Irvine
Mohammad Hossein Moaiyeri
Mohammad Hossein Moaiyeri Shahid Beheshti University
Jie Han
Jie Han University of Alberta
Michael Niemier
Michael Niemier University of Notre Dame
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Boqing Gong
Boqing Gong Google (United States)
Peter A. Dowben
Peter A. Dowben University of Nebraska–Lincoln

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