World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
74
Citations
19458
World Ranking
721
National Ranking
321

Physics

D-Index
74
Citations
19616
World Ranking
3462
National Ranking
1638

Daniel E. Leaird 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 Daniel E. Leaird 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: 418 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Daniel E. Leaird 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 Daniel E. Leaird 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Daniel E. Leaird is affiliated with Purdue University West Lafayette in the United States. Their research work spans multiple fields, primarily focusing on Physics and Astronomy, Computer Science, and Engineering.

The main subfields of their study include:

  • Atomic and Molecular Physics, and Optics
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Biophysics
  • Instrumentation

Their research covers key topics such as:

  • Quantum Information and Cryptography
  • Advanced Fiber Laser Technologies
  • Neural Networks and Reservoir Computing
  • Photonic and Optical Devices
  • Mechanical and Optical Resonators
  • Quantum optics and atomic interactions
  • Advanced Photonic Communication Systems

Daniel E. Leaird has published recent papers including:

  • "Bayesian tomography of high-dimensional on-chip biphoton frequency combs with randomized measurements" (2022), published in Nature Communications
  • "Adaptive bandwidth management for entanglement distribution in quantum networks" (2021), published in Optica
  • "High-dimensional discrete Fourier transform gates with a quantum frequency processor" (2022), published in Optics Express
  • "Vernier microcombs for high-frequency carrier envelope offset and repetition rate detection" (2023), published in Optica
  • "InP high power monolithically integrated widely tunable laser and SOA array for hybrid integration" (2021), published in Optics Express

Frequent co-authors working with Daniel E. Leaird include:

  • Andrew M. Weiner
  • Hsuan-Hao Lu
  • Suparna Seshadri
  • Joseph M. Lukens
  • Mohammed S. Alshaykh

Their work has appeared in multiple publication venues, particularly:

  • Conference on Lasers and Electro-Optics
  • arXiv (Cornell University)
  • Optica
  • Optics Express
  • Optics Letters

Best Publications

  • Mode-locked dark pulse Kerr combs in normal-dispersion microresonators

    Xiaoxiao Xue;Yi Xuan;Yang Liu;Pei Hsun Wang

  • Programmable shaping of femtosecond optical pulses by use of 128-element liquid crystal phase modulator

    A.M. Weiner;D.E. Leaird;J.S. Patel;J.R. Wullert

  • Optical arbitrary waveform processing of more than 100 spectral comb lines

    Zhi Jiang;Chen-Bin Huang;Daniel E. Leaird;Andrew M. Weiner

  • Femtosecond Pulse Sequences Used for Optical Manipulation of Molecular Motion

    A. M. Weiner;D. E. Leaird;Gary P. Wiederrecht;Keith A. Nelson

  • Spectral line-by-line pulse shaping of on-chip microresonator frequency combs

    Fahmida Ferdous;Houxun H. Miao;Houxun H. Miao;Daniel E. Leaird;Kartik A. Srinivasan

  • Observation of spatial optical solitons in a nonlinear glass waveguide

    J. S. Aitchison;A. M. Weiner;Y. Silberberg;M. K. Oliver

  • Generation of very flat optical frequency combs from continuous-wave lasers using cascaded intensity and phase modulators driven by tailored radio frequency waveforms

    Rui Wu;V R Supradeepa;Christopher M Long;Daniel E Leaird

  • Programmable femtosecond pulse shaping by use of a multielement liquid-crystal phase modulator.

    Andrew M. Weiner;D. E. Leaird;Jay S. Patel;John R. Wullert

  • Ultrabroad-bandwidth arbitrary radiofrequency waveform generation with a silicon photonic chip-based spectral shaper

    Maroof H. Khan;Hao Shen;Yi Xuan;Lin Zhao

  • Comb-based radiofrequency photonic filters with rapid tunability and high selectivity

    V. R. Supradeepa;V. R. Supradeepa;Christopher M. Long;Christopher M. Long;Rui Wu;Fahmida Ferdous

  • Experimental observation of the fundamental dark soliton in optical fibers.

    A. M. Weiner;R. J. Hawkins;R. N. Thurston

  • Millimeter-wave arbitrary waveform generation with a direct space-to-time pulse shaper.

    J D McKinney;D E Leaird;A M Weiner

  • Tunable Programmable Microwave Photonic Filters Based on an Optical Frequency Comb

    E Hamidi;D E Leaird;A M Weiner

  • Investigation of mode coupling in normal-dispersion silicon nitride microresonators for Kerr frequency comb generation

    Yang Liu;Yi Xuan;Xiaoxiao Xue;Pei Hsun Wang

  • Programmable Single-Bandpass Photonic RF Filter Based on Kerr Comb from a Microring

    Xiaoxiao Xue;Yi Xuan;Hyoung-Jun Kim;Jian Wang

  • Direct soliton generation in microresonators.

    Chengying Bao;Yi Xuan;Jose A. Jaramillo-Villegas;Daniel E. Leaird

  • High-Q silicon nitride microresonators exhibiting low-power frequency comb initiation

    Yi Xuan;Yang Liu;Leo T. Varghese;Andrew J. Metcalf

  • Experimental observation of spatial soliton interactions

    J. S. Aitchison;Andrew M. Weiner;Yaron Silberberg (Bell);D. E. Leaird

  • Normal-dispersion Microcombs Enabled by Controllable Mode Interactions

    Xiaoxiao Xue;Yi Xuan;Pei Hsun Wang;Yang Liu

  • Femtosecond multiple-pulse impulsive stimulated Raman scattering spectroscopy

    Andrew M. Weiner;D. E. Leaird;Gary P. Wiederrecht;Keith A. Nelson

  • High-order coherent communications using mode-locked dark-pulse Kerr combs from microresonators.

    Attila Fülöp;Mikael Mazur;Abel Lorences-Riesgo;Óskar B. Helgason

Frequent Co-Authors

Andrew M. Weiner
Andrew M. Weiner Purdue University West Lafayette
Minghao Qi
Minghao Qi Purdue University West Lafayette
Yi Xuan
Yi Xuan Purdue University West Lafayette
Xiaoxiao Xue
Xiaoxiao Xue Tsinghua University
Martin M. Fejer
Martin M. Fejer Stanford University
Carsten Langrock
Carsten Langrock Keysight Technologies (United States)
Kartik Srinivasan
Kartik Srinivasan University of Maryland, College Park
Vladimir A. Aksyuk
Vladimir A. Aksyuk National Institute of Standards and Technology
Peter A. Andrekson
Peter A. Andrekson Chalmers University of Technology

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 students pursuing Electronics and Electrical Engineering, expanding skills through related online degrees can open doors to diverse career pathways. For instance, a project management bachelor degree complements technical knowledge with leadership and organizational abilities, preparing graduates for roles in managing complex engineering projects.

Working professionals often benefit from accelerated online degree programs, which allow faster completion of credentials without compromising work commitments. This flexibility is especially valuable for engineers looking to upskill while maintaining their career momentum.

For those interested in academia or corporate training, pursuing the best online master's for teaching can enhance instructional design skills, enabling professionals to develop effective educational programs or training modules within technical fields.

Moreover, understanding what is a competency based masters degree can be crucial for career advancement. These programs focus on skill mastery rather than time spent, providing personalized learning paths ideal for engineers seeking targeted expertise.

Best Scientists Citing Daniel E. Leaird

Trending Scientists

Recently Published Articles