World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
6523
World Ranking
8617
National Ranking
2390

Michael Orshansky publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Michael Orshansky sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Michael Orshansky D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Orshansky sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Michael Orshansky is affiliated with The University of Texas at Austin in the United States. Their research spans multiple areas within computer science and engineering, with a strong focus on topics related to advanced memory technologies, cryptographic implementations, hardware security, and neural computing.

Their main fields of study include:

  • Computer Science
  • Engineering

Subfields of study represented in their work cover:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Computational Theory and Mathematics

Michael Orshansky's research topics encompass:

  • Advanced Memory and Neural Computing
  • Cryptographic Implementations and Security
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices
  • Quantum-Dot Cellular Automata
  • Cryptography and Data Security

Their recent publications include:

  • "Horizontal Side-Channel Vulnerabilities of Post-Quantum Key Exchange and Encapsulation Protocols," 2021, ACM Transactions on Embedded Computing Systems
  • "A Provably Secure Strong PUF Based on LWE: Construction and Implementation," 2022, IEEE Transactions on Computers
  • "Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for Analog PIM," 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • "Power-based Attacks on Spatial DNN Accelerators," 2022, ACM Journal on Emerging Technologies in Computing Systems
  • "A Hierarchical Classification Method for High-accuracy Instruction Disassembly with Near-field EM Measurements," 2023, ACM Transactions on Embedded Computing Systems

The frequent publication venues for Michael Orshansky's work include:

  • arXiv (Cornell University)
  • ACM Transactions on Embedded Computing Systems
  • IEEE Transactions on Computers
  • 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • ACM Journal on Emerging Technologies in Computing Systems

Collaborations have been noted with several co-authors, including:

  • Zihao Deng
  • Mohit Tiwari
  • Andreas Gerstlauer
  • Mattan Erez
  • Ge Li

Best Publications

  • Approximate computing: An emerging paradigm for energy-efficient design

    Jie Han;Michael Orshansky

  • New paradigm of predictive MOSFET and interconnect modeling for early circuit simulation

    Y. Cao;T. Sato;M. Orshansky;D. Sylvester

  • Design for Manufacturability and Statistical Design: A Constructive Approach

    Michael Orshansky;Sani Nassif;Duane Boning

  • A general probabilistic framework for worst case timing analysis

    Michael Orshansky;Kurt Keutzer

  • BulletProof: a defect-tolerant CMP switch architecture

    K. Constantinides;S. Plaza;J. Blome;B. Zhang

  • FASER: Fast Analysis of Soft Error Susceptibility for Cell-Based Designs

    Bin Zhang;Wei-Shen Wang;Michael Orshansky

  • Impact of spatial intrachip gate length variability on the performance of high-speed digital circuits

    M. Orshansky;L. Milor;Pinhong Chen;K. Keutzer

  • Minimization of dynamic and static power through joint assignment of threshold voltages and sizing optimization

    David Nguyen;Abhijit Davare;Michael Orshansky;David Chinnery

  • An efficient algorithm for statistical minimization of total power under timing yield constraints

    Murari Mani;Anirudh Devgan;Michael Orshansky

  • Modeling and synthesis of quality-energy optimal approximate adders

    Jin Miao;Ku He;Andreas Gerstlauer;Michael Orshansky

  • Characterization of spatial intrafield gate CD variability, its impact on circuit performance, and spatial mask-level correction

    M. Orshansky;L. Milor;Chenming Hu

  • Fast statistical timing analysis handling arbitrary delay correlations

    Michael Orshansky;Arnab Bandyopadhyay

  • NBTI-aware DVFS: a new approach to saving energy and increasing processor lifetime

    Mehmet Basoglu;Michael Orshansky;Mattan Erez

  • Impact of systematic spatial intra-chip gate length variability on performance of high-speed digital circuits

    Michael Orshansky;Linda Milor;Pinhong Chen;Kurt Keutzer

  • Analytical modeling of SRAM dynamic stability

    Bin Zhang;Ari Arapostathis;Sani Nassif;Michael Orshansky

  • A new statistical optimization algorithm for gate sizing

    M. Mani;M. Orshansky

  • Joint design-time and post-silicon minimization of parametric yield loss using adjustable robust optimization

    M. Mani;A.K. Singh;M. Orshansky

  • Compensating non-optical effects using electrically driven optical proximity correction

    Shayak Banerjee;Kanak B. Agarwal;James A. Culp;Praveen Elakkumanan

  • Approximate logic synthesis under general error magnitude and frequency constraints

    Jin Miao;Andreas Gerstlauer;Michael Orshansky

  • Minimization of dynamic and static power through joint assignment of threshold voltages and sizing optimization [logic IC design]

    D. Nguyen;A. Davare;M. Orshansky;D. Chinnery

Frequent Co-Authors

Chenming Hu
Chenming Hu University of California, Berkeley
Constantine Caramanis
Constantine Caramanis The University of Texas at Austin
Andreas Gerstlauer
Andreas Gerstlauer The University of Texas at Austin
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
David Z. Pan
David Z. Pan The University of Texas at Austin
Mattan Erez
Mattan Erez The University of Texas at Austin
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
Jeffrey Bokor
Jeffrey Bokor University of California, Berkeley
Valeria Bertacco
Valeria Bertacco University of Michigan–Ann Arbor

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:

Best Scientists Citing Michael Orshansky

Trending Scientists

Recently Published Articles