World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
30
Citations
7347
World Ranking
9747
National Ranking
2780

Daniel A. Nolan 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 Daniel A. Nolan 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.

Daniel A. Nolan 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 Daniel A. Nolan 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: 30 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Overview

Daniel A. Nolan is a researcher affiliated with Corning in the United States. Their work spans multiple fields including engineering and computer science, with a primary focus on electrical and electronic engineering and artificial intelligence. Their subfields extend to atomic and molecular physics, optics, ceramics and composites, and materials chemistry.

The scientist's research topics cover a range of areas centered on optical and quantum technologies. These include optical network technologies, quantum information and cryptography, photonic and optical devices, quantum computing algorithms and architecture, neural networks and reservoir computing, quantum optics and atomic interactions, as well as glass properties and applications.

They collaborate frequently with several co-authors, including Dan T. Nguyen, Nicholas F. Borrelli, Wei C. Jiang, Kangmei Li, and Xin Gai, each contributing to multiple joint publications.

Their research has appeared repeatedly in notable venues such as:

  • Optics Express
  • Frontiers in Physics
  • Optics
  • Conference on Lasers and Electro-Optics
  • OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF)

Selected recent papers authored by Daniel A. Nolan include:

  • Continuous-variable quantum key distribution over a 15 km multi-core fiber, 2022, New Journal of Physics
  • Adaptable transmitter for discrete and continuous variable quantum key distribution, 2021, Optics Express
  • Evolution of glass structure during femtosecond laser assisted crystallization of LaBGeO5 in glass, 2020, Journal of Non-Crystalline Solids
  • Special classes of optical vector vortex beams are Majorana-like photons, 2020, Optics Communications
  • Ultra-low-power four-wave mixing wavelength conversion in high-Q chalcogenide microring resonators, 2021, Optics Letters

Best Publications

  • Higher-order Poincaré sphere, stokes parameters, and the angular momentum of light

    Giovanni Milione;H. I. Sztul;D. A. Nolan;R. R. Alfano

  • Measurement-Device-Independent Quantum Key Distribution Over a 404 km Optical Fiber.

    Hua-Lei Yin;Teng-Yun Chen;Zong-Wen Yu;Hui Liu

  • Secure Quantum Key Distribution over 421 km of Optical Fiber.

    Alberto Boaron;Gianluca Boso;Davide Rusca;Cédric Vulliez

  • Provably secure and practical quantum key distribution over 307 km of optical fibre

    Boris Korzh;Charles Ci Wen Lim;Raphael Houlmann;Nicolas Gisin

  • 4 × 20 Gbit/s mode division multiplexing over free space using vector modes and a q-plate mode (de)multiplexer

    Giovanni Milione;Martin P. J. Lavery;Hao Huang;Yongxiong Ren

  • Using the nonseparability of vector beams to encode information for optical communication

    Giovanni Milione;Thien An Nguyen;Jonathan Leach;Daniel A. Nolan

  • 4 X 20 Gbit/s mode division multiplexing over free space using vector modes and a q-plate mode (de)multiplexer

    Giovanni Milione;Martin P. J. Lavery;Hao Huang;Yongxiong Ren

  • Mode division multiplexing using an orbital angular momentum mode sorter and MIMO-DSP over a graded-index few-mode optical fibre

    Hao Huang;Giovanni Milione;Martin P. J. Lavery;Guodong Xie

  • Bend resistant multimode optical fiber

    Dana Craig Bookbinder;Ming-Jun Li;Daniel Aloysius Nolan

  • Higher Order Pancharatnam-Berry Phase and the Angular Momentum of Light

    Giovanni Milione;S. Evans;D. A. Nolan;R. R. Alfano

  • Large effective area fiber

    Scott Robertson Bickham;Dana Craig Bookbinder;Xin Chen;Ming-Jun Li

  • Self-organized instability in graded-index multimode fibres

    Logan G. Wright;Zhanwei Liu;Daniel A. Nolan;Ming-Jun Li

  • Ultra-Low Bending Loss Single-Mode Fiber for FTTH

    M.-J. Li;P. Tandon;D.C. Bookbinder;S.R. Bickham

  • Fiber spin-profile designs for producing fibers with low polarization mode dispersion.

    M. J. Li;D. A. Nolan

  • Observation of temporal vector soliton propagation and collision in birefringent fiber

    Darren Rand;Ivan Glesk;Camille Sophie Brès;Daniel A. Nolan

  • Tunable supercontinuum light vector vortex beam generator using a q-plate.

    Yisa S. Rumala;Giovanni Milione;Thien An Nguyen;Sebastião Pratavieira

  • Single-polarization fiber with a high extinction ratio

    Daniel A. Nolan;George E. Berkey;Ming-Jun Li;Xin Chen

  • Low-power high-efficiency wavelength conversion based on modulational instability in high-nonlinearity fiber.

    G. A. Nowak;Y.-H. Kao;T. J. Xia;M. N. Islam

  • Fibers with low polarization-mode dispersion

    D.A. Nolan;Xin Chen;Ming-Jun Li

  • Optical Transmission Fiber Design Evolution

    Ming-Jun Li;D.A. Nolan

  • Simple 2.5 GHz time-bin quantum key distribution

    Alberto Boaron;Boris Korzh;Raphael Houlmann;Gianluca Boso

  • Supercontinuum Generation in Silica Fibers by Amplified Nanosecond Laser Diode Pulses

    Chenan Xia;M. Kumar;Ming-Yuan Cheng;O.P. Kulkarni

  • Third order cascaded Raman wavelength shifting in chalcogenide fibers and determination of Raman gain coefficient

    Ojas P. Kulkarni;Chenan Xia;Dong Joon Lee;Malay Kumar

  • Low bend loss optical fiber with deep depressed ring

    Scott R. Bickham;Dana C. Bookbinder;Ming-Jun Li;Snigdharaj K. Mishra

  • High bandwidth single polarization fiber with elliptical central air hole

    Ming-Jun Li;Xin Chen;D.A. Nolan;G.E. Berkey

  • Nonlinear fibers for signal processing using optical Kerr effects

    Ming-Jun Li;Shenping Li;D.A. Nolan

Frequent Co-Authors

Ming-Jun Li
Ming-Jun Li Corning (United States)
Robert R. Alfano
Robert R. Alfano City College of New York
Himanshu Jain
Himanshu Jain Lehigh University
Frank W. Wise
Frank W. Wise Cornell University
Demetrios N. Christodoulides
Demetrios N. Christodoulides University of Southern California
Hugo Zbinden
Hugo Zbinden University of Geneva
Mohammed N. Islam
Mohammed N. Islam University of Michigan–Ann Arbor
Alan E. Willner
Alan E. Willner University of Southern California
Yongxiong Ren
Yongxiong Ren University of Southern California
Guodong Xie
Guodong Xie University of Southern California

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