World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
11706
World Ranking
2390
National Ranking
84

Naoya Wada 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 Naoya Wada 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: 855 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Naoya Wada 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 Naoya Wada 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: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Naoya Wada is affiliated with the National Institute of Information and Communications Technology in Japan. Their research primarily focuses on the field of Engineering, with a particular emphasis on Electrical and Electronic Engineering.

The scientist contributes to a range of main topics including:

  • Optical Network Technologies
  • Advanced Photonic Communication Systems
  • Photonic and Optical Devices
  • Advanced Optical Network Technologies
  • Semiconductor Lasers and Optical Devices
  • SARS-CoV-2 and COVID-19 Research
  • Computational Drug Discovery Methods

Naoya Wada's recent publications include:

  • "Wavelength Division Multiplexing of 194 Continuous Variable Quantum Key Distribution Channels" (2020), Journal of Lightwave Technology
  • "0.61 Pb/s S, C, and L-Band Transmission in a 125μm Diameter 4-Core Fiber Using a Single Wideband Comb Source" (2020), Journal of Lightwave Technology
  • "High Capacity Transmission in a Coupled-Core Three-Core Multi-Core Fiber" (2020), Journal of Lightwave Technology
  • "Highly Spectral Efficient C + L-Band Transmission Over a 38-Core-3-Mode Fiber" (2020), Journal of Lightwave Technology
  • "High Capacity Converged Passive Optical Network and RoF-Based 5G+ Fronthaul Using 4-PAM and NOMA-CAP Signals" (2020), Journal of Lightwave Technology

The most frequent co-authors who have collaborated with Wada are:

  • Hideaki Furukawa
  • Yoshinari Awaji
  • Satoshi Shinada
  • Ruben S. Lúıs
  • Benjamin J. Puttnam

Publication venues where Naoya Wada has consistently contributed include:

  • Journal of Lightwave Technology (8 publications)
  • IEEE Photonics Technology Letters (3 publications)
  • IEEE Journal of Selected Topics in Quantum Electronics (2 publications)
  • Optical Review (2 publications)
  • Optics Communications (2 publications)

Best Publications

  • 2.15 Pb/s transmission using a 22 core homogeneous single-mode multi-core fiber and wideband optical comb

    B. J. Puttnam;R. S. Luis;W. Klaus;J. Sakaguchi

  • 19-core fiber transmission of 19×100×172-Gb/s SDM-WDM-PDM-QPSK signals at 305Tb/s

    Jun Sakaguchi;Benjamin J. Puttnam;Werner Klaus;Yoshinari Awaji

  • OCDMA over WDM PON-solution path to gigabit-symmetric FTTH

    K. Kitayama;Xu Wang;Naoya Wada

  • 305 Tb/s Space Division Multiplexed Transmission Using Homogeneous 19-Core Fiber

    J. Sakaguchi;B. J. Puttnam;W. Klaus;Y. Awaji

  • Architectural considerations for photonic IP router based upon optical code correlation

    K. Kitayama;N. Wada;H. Sotobayashi

  • Photonic IP routing

    K.-I. Kitayama;N. Wada

  • 109-Tb/s (7×97×172-Gb/s SDM/WDM/PDM) QPSK transmission through 16.8-km homogeneous multi-core fiber

    Jun Sakaguchi;Yoshinari Awaji;Naoya Wada;Atsushi Kanno

  • A 10 Gb/s optical code division multiplexing using 8-chip optical bipolar code and coherent detection

    N. Wada;K. Kitayama

  • Wavelength division multiplexing of continuous variable quantum key distribution and 18.3 Tbit/s data channels

    Tobias A. Eriksson;Takuya Hirano;Benjamin J. Puttnam;Georg Rademacher

  • 19-core MCF transmission system using EDFA with shared core pumping coupled via free-space optics

    Jun Sakaguchi;Werner Klaus;Benjamin J Puttnam;José Manuel Delgado Mendinueta

  • Realizing a 36-core, 3-mode fiber with 108 spatial channels

    J. Sakaguchi;W. Klaus;J.-M. D. Mendinueta;B.J. Puttnam

  • 19-core MCF Transmission System using EDFA with Shared Core Pumping Coupled in Free-space Optics

    J. Sakaguchi;W. Klaus;B. J. Puttnam;J-M. D. Mendinueta

  • High reflectivity superstructured FBG for coherent optical code generation and recognition.

    Xu Wang;Koji Matsushima;Akihiko Nishiki;Naoya Wada

  • Space Division Multiplexed Transmission of 109-Tb/s Data Signals Using Homogeneous Seven-Core Fiber

    J. Sakaguchi;Y. Awaji;N. Wada;A. Kanno

  • Free-Space Coupling Optics for Multicore Fibers

    W. Klaus;J. Sakaguchi;B. J. Puttnam;Y. Awaji

  • Time and Modulation Frequency Dependence of Crosstalk in Homogeneous Multi-Core Fibers

    Ruben S. Luis;Benjamin J. Puttnam;Adolfo V. T. Cartaxo;Werner Klaus

  • High-performance optical code generation and recognition by use of a 511-chip, 640-Gchip/s phase-shifted superstructured fiber Bragg grating

    Xu Wang;Koji Matsushima;Ken-ichi Kitayama;Akihiko Nishiki

  • Large Spatial Channel (36-Core × 3 mode) Heterogeneous Few-Mode Multicore Fiber

    Jun Sakaguchi;Werner Klaus;Jose Manuel Delgado Mendinueta;Benjamin James Puttnam

  • Crosstalk dynamics in multi-core fibers.

    Georg Rademacher;Ruben S. Luís;Benjamin J. Puttnam;Yoshinari Awaji

  • Software defined networking (SDN) over space division multiplexing (SDM) optical networks: features, benefits and experimental demonstration

    N Amaya;S Yan;M Channegowda;B R Rofoee

  • 10.66 Peta-Bit/s Transmission over a 38-Core-Three-Mode Fiber

    Georg Rademacher;Benjamin J. Puttnam;Ruben S. Luis;Jun Sakaguchi

Frequent Co-Authors

Yoshinari Awaji
Yoshinari Awaji National Institute of Information and Communications Technology
Benjamin J. Puttnam
Benjamin J. Puttnam National Institute of Information and Communications Technology
Ruben S. Luis
Ruben S. Luis National Institute of Information and Communications Technology
Ken-ichi Kitayama
Ken-ichi Kitayama Osaka University
Jun Sakaguchi
Jun Sakaguchi National Institute of Information and Communications Technology
Tetsuya Kawanishi
Tetsuya Kawanishi Waseda University
Takehiro Tsuritani
Takehiro Tsuritani Furukawa Electric (United Kingdom)
Atsushi Kanno
Atsushi Kanno National Institute of Information and Communications Technology
Erik Agrell
Erik Agrell Chalmers University of Technology
Rogério N. Nogueira
Rogério N. Nogueira University of Aveiro

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Additionally, competency based programs provide a flexible approach, focusing on mastery of specific skills and knowledge. This model is particularly suited for engineering students who want to prove their technical competencies and build credentials that align with industry standards.

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