World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
21540
World Ranking
908
National Ranking
381

Michael Hochberg 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 Michael Hochberg 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: 280 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Michael Hochberg 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 Michael Hochberg 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: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Michael Hochberg is a researcher affiliated with Luminous Computing in the United States. Their research spans multiple areas within computer science, with a focus on artificial intelligence and electrical and electronic engineering.

The main fields of study for Michael Hochberg include:

  • Computer Science

Within these fields, their work is further specialized in the following subfields:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Genetics
  • Modeling and Simulation
  • Hematology

Key topics addressed in their research cover a diverse set of areas:

  • Neural Networks and Reservoir Computing
  • Optical Network Technologies
  • Photonic and Optical Devices
  • Evolution and Genetic Dynamics
  • Quantum Computing Algorithms and Architecture
  • COVID-19 epidemiological studies
  • Quantum Information and Cryptography

Hochberg's recent publications reflect this interdisciplinary approach and include the following papers:

  • "Roadmapping the next generation of silicon photonics" (2024, Nature Communications)
  • "Delocalized photonic deep learning on the internet's edge" (2022, Science)
  • "Accelerating recurrent Ising machines in photonic integrated circuits" (2020, Optica)
  • "Single-chip photonic deep neural network with forward-only training" (2024, Nature Photonics)
  • "Phage steering of antibiotic-resistance evolution in the bacterial pathogen, Pseudomonas aeruginosa" (2020, Evolution Medicine and Public Health)

Their frequent coauthors include researchers such as Dirk Englund, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, and Robert Noble, indicating collaborations across various projects and institutions.

Publication venues where their work commonly appears are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Preprints.org
  • Nature Communications
  • iScience

Best Publications

  • Deep learning with coherent nanophotonic circuits

    Yichen Shen;Nicholas C. Harris;Scott Skirlo;Dirk Englund

  • Silicon Photonics Design: From Devices to Systems

    Lukas Chrostowski;Michael E. Hochberg

  • Label-Free Biosensor Arrays Based on Silicon Ring Resonators and High-Speed Optical Scanning Instrumentation

    Muzammil Iqbal;Martin A Gleeson;Bradley Spaugh;Frank Tybor

  • Harnessing optical forces in integrated photonic circuits

    Mo Li;W. H. P. Pernice;C. Xiong;T. Baehr-Jones

  • Roadmapping the next generation of silicon photonics

    Unknown

  • Quantum transport simulations in a programmable nanophotonic processor

    Nicholas C. Harris;Gregory R. Steinbrecher;Mihika Prabhu;Yoav Lahini

  • Compact and low loss Y-junction for submicron silicon waveguide

    Yi Zhang;Shuyu Yang;Tom Baehr-Jones

  • Towards fabless silicon photonics

    Michael Hochberg;Tom Baehr-Jones

  • Efficient, compact and low loss thermo-optic phase shifter in silicon

    Nicholas C. Harris;Yangjin Ma;Jacob Mower;Tom Baehr-Jones

  • Linear programmable nanophotonic processors

    Nicholas C. Harris;Jacques Carolan;Darius Bunandar;Mihika Prabhu

  • Optical modulation and detection in slotted Silicon waveguides

    Tom Baehr-Jones;Michael Hochberg;Guangxi Wang;R. Lawson

  • Integrated Source of Spectrally Filtered Correlated Photons for Large-Scale Quantum Photonic Systems

    Nicholas C. Harris;Davide Grassani;Angelica Simbula;Mihir Pant

  • Terahertz all-optical modulation in a silicon–polymer hybrid system

    Michael Hochberg;Tom Baehr-Jones;Guangxi Wang;Michael Shearn

  • Terahertz All-Optical Modulation in a Silicon-Polymer Hybrid System

    Michael Hochberg;Tom Baehr-Jones;Guangxi Wang;Michael Shearn

  • Silicon-on-sapphire integrated waveguides for the mid-infrared.

    Tom Baehr-Jones;Alexander Spott;Rob Ilic;Andrew Spott

  • Nonlinear polymer-clad silicon slot waveguide modulator with a half wave voltage of 0.25 V

    Tom Baehr-Jones;Boyan Penkov;Jingqing Huang;Phil Sullivan

  • Ultralow loss single layer submicron silicon waveguide crossing for SOI optical interconnect

    Yangjin Ma;Yi Zhang;Shuyu Yang;Ari Novack

  • Silicon Photonics Design by Lukas Chrostowski

    Unknown

  • High-Q Optical Resonators in Silicon-on-Insulator-Based Slot Waveguides

    Tom Baehr-Jones;Michael Hochberg;Chris Walker;Axel Scherer

  • Myths and rumours of silicon photonics

    Tom Baehr-Jones;Thierry Pinguet;Patrick Lo Guo-Qiang;Steven Danziger

  • Low power 50 Gb/s silicon traveling wave Mach-Zehnder modulator near 1300 nm

    Matthew Streshinsky;Ran Ding;Yang Liu;Ari Novack

  • Silicon Nanophotonic Waveguides for the Mid-Infrared

    Tom Baehr-Jones;Alexander Spott;Rob Ilic;Andrew Spott

Frequent Co-Authors

Tom Baehr-Jones
Tom Baehr-Jones Luminous Computing
Ran Ding
Ran Ding Jilin University
Axel Scherer
Axel Scherer California Institute of Technology
Guo-Qiang Lo
Guo-Qiang Lo Global Foundries
Keren Bergman
Keren Bergman Columbia University
Jeremy Witzens
Jeremy Witzens RWTH Aachen University
Lukas Chrostowski
Lukas Chrostowski University of British Columbia
Alex K.-Y. Jen
Alex K.-Y. Jen City University of Hong Kong
Jingdong Luo
Jingdong Luo City University of Hong Kong

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Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring related online degrees can open diverse opportunities. Many students benefit from enrolling in online universities with multiple start dates, offering flexible options to fit busy schedules and accelerate their education.

Accelerated programs, such as online accelerated project management degree programs, complement technical skills by teaching leadership and management, which are valuable in engineering project roles.

For those looking to quickly enhance their qualifications, 6 month certificate programs that pay well offer practical expertise and can lead to lucrative roles in specialized fields within electronics and electrical sectors.

Additionally, career pathways in this field can cater well to different personality types. Many technical roles are ideal for introverts, aligning with high concentration and problem-solving skills found in high paying jobs for introverts.

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