World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
8619
World Ranking
6854
National Ranking
1867

Alexander N. Tait 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 Alexander N. Tait 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: 164 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Alexander N. Tait 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 Alexander N. Tait 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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Alexander N. Tait is affiliated with Princeton University in the United States. Their research spans multiple disciplines, including engineering, materials science, and computer science, with a significant focus on electrical and electronic engineering, materials chemistry, and artificial intelligence.

Their scholarly work has been published extensively in several venues. Frequent publication venues include The Cambridge Structural Database, arXiv (Cornell University), IEEE Journal of Selected Topics in Quantum Electronics, Nanophotonics, and Nature Communications.

Alexander N. Tait's main research topics encompass neural networks and reservoir computing, photonic and optical devices, optical network technologies, crystallization and solubility studies, X-ray diffraction in crystallography, advanced memory and neural computing, and advanced photonic communication systems.

Among the recent papers authored or coauthored by Alexander N. Tait are:

  • Silicon photonic-electronic neural network for fibre nonlinearity compensation, 2021, arXiv (Cornell University)
  • Roadmap on emerging hardware and technology for machine learning, 2020, Nanotechnology
  • Demonstration of scalable microring weight bank control for large-scale photonic integrated circuits, 2020, APL Photonics
  • Gene editing and elimination of latent herpes simplex virus in vivo, 2020, Nature Communications
  • Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation, 2023, Nature Communications

Frequent coauthors collaborating with Alexander N. Tait include Bhavin J. Shastri, Paul R. Prucnal, Thomas Ferreira de Lima, S. A. Cotton, and Andrew W.G. Platt. These partnerships indicate collaboration across multiple research areas related to photonics, neural computing, and electronic engineering.

Best Publications

  • Photonics for artificial intelligence and neuromorphic computing

    Bhavin J. Shastri;Alexander N. Tait;Thomas Ferreira de Lima;Wolfram H. P. Pernice

  • Photonics for artificial intelligence and neuromorphic computing

    Bhavin J. Shastri;Bhavin J. Shastri;Alexander N. Tait;Alexander N. Tait;T. Ferreira de Lima;Wolfram H. P. Pernice

  • Neuromorphic photonic networks using silicon photonic weight banks.

    Alexander N. Tait;Thomas Ferreira de Lima;Ellen Zhou;Allie X. Wu

  • Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing

    Alexander N. Tait;Mitchell A. Nahmias;Bhavin J. Shastri;Paul Richard Prucnal

  • A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing

    M. A. Nahmias;B. J. Shastri;A. N. Tait;P. R. Prucnal

  • A silicon photonic modulator neuron

    Alexander N. Tait;Thomas Ferreira de Lima;Mitchell A. Nahmias;Heidi B. Miller

  • Photonic Multiply-Accumulate Operations for Neural Networks

    Mitchell A. Nahmias;Thomas Ferreira de Lima;Alexander N. Tait;Hsuan-Tung Peng

  • A silicon photonic–electronic neural network for fibre nonlinearity compensation

    Chaoran Huang;Chaoran Huang;Shinsuke Fujisawa;Shinsuke Fujisawa;Thomas Ferreira de Lima;Alexander N. Tait

  • Recent progress in semiconductor excitable lasers for photonic spike processing

    Paul Richard Prucnal;Bhavin J. Shastri;Thomas Ferreira de Lima;Mitchell A. Nahmias

  • Neuromorphic Photonic Integrated Circuits

    Hsuan-Tung Peng;Mitchell A. Nahmias;Thomas Ferreira de Lima;Alexander N. Tait

  • Microring Weight Banks

    Alexander N. Tait;Allie X. Wu;Thomas Ferreira de Lima;Ellen Zhou

  • Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

    Viraj Bangari;Bicky A. Marquez;Heidi Miller;Alexander N. Tait

  • Neuromorphic Silicon Photonic Networks

    Alexander N. Tait;Thomas Ferreira de Lima;Ellen Zhou;Allie X. Wu

  • Progress in neuromorphic photonics

    Thomas Ferreira De Lima;Bhavin J. Shastri;Alexander N. Tait;Mitchell A. Nahmias

  • Machine Learning With Neuromorphic Photonics

    Thomas Ferreira de Lima;Hsuan-Tung Peng;Alexander N. Tait;Mitchell A. Nahmias

  • Spike processing with a graphene excitable laser.

    Bhavin J. Shastri;Mitchell A. Nahmias;Alexander N. Tait;Alejandro W. Rodriguez

  • Roadmap on emerging hardware and technology for machine learning.

    Karl Berggren;Qiangfei Xia;Konstantin K. Likharev;Dmitri B. Strukov

  • Feedback control for microring weight banks

    Alexander N. Tait;Hasitha Jayatilleka;Thomas Ferreira De Lima;Philip Y. Ma

  • ITO-based Electro-absorption Modulator for Photonic Neural Activation Function

    R. Amin;J. K. George;S. Sun;T. Ferreira de Lima

  • Prospects and applications of photonic neural networks

    Chaoran Huang;Chaoran Huang;Volker J. Sorger;Mario Miscuglio;Mohammed Al-Qadasi

  • Demonstration of WDM weighted addition for principal component analysis

    Alexander N. Tait;John Chang;Bhavin J. Shastri;Mitchell A. Nahmias

  • Demonstration of scalable microring weight bank control for large-scale photonic integrated circuits

    Chaoran Huang;Simon Bilodeau;Thomas Ferreira De Lima;Alexander N. Tait

  • Silicon Photonic Modulator Neuron

    Alexander N. Tait;Thomas Ferreira De Lima;Mitchell A. Nahmias;Heidi B. Miller

  • A superconducting thermal switch with ultrahigh impedance for interfacing superconductors to semiconductors.

    Adam McCaughan;V. B. Verma;S. M. Buckley;J. P. Allmaras

  • Neuromorphic photonics with electro-absorption modulators

    Jonathan George;Armin Mehrabian;Rubab Amin;Jiawei Meng

  • ITO-based Electro-absorption Modulator for Photonic Neural Activation Function

    Rubab Amin;Jonathan George;Shuai Sun;Thomas Ferreira de Lima

Frequent Co-Authors

Bhavin J. Shastri
Bhavin J. Shastri Queen's University
Paul R. Prucnal
Paul R. Prucnal Princeton University
Thomas Ferreira de Lima
Thomas Ferreira de Lima Princeton University
Sae Woo Nam
Sae Woo Nam National Institute of Standards and Technology
Richard P. Mirin
Richard P. Mirin National Institute of Standards and Technology
Mable P. Fok
Mable P. Fok University of Georgia
Volker J. Sorger
Volker J. Sorger George Washington University
Sudip Shekhar
Sudip Shekhar University of British Columbia
Lukas Chrostowski
Lukas Chrostowski University of British Columbia
Tarek El-Ghazawi
Tarek El-Ghazawi George Washington University

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Combining engineering with these related online degrees can help you carve out specialized and high-impact career pathways in today’s technology-focused industries.

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