World's Best Scientists 2026 revealed!
Yoky Matsuoka

Yoky Matsuoka

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4268
World Ranking
9430
National Ranking
2653

Yoky Matsuoka 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 Yoky Matsuoka 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: 57 publications — 1st percentile

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

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

Yoky Matsuoka 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 Yoky Matsuoka 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Electrical engineering

Yoky Matsuoka spends much of his time researching Thermostat, Home automation, HVAC, Control theory and Computer security. His work deals with themes such as Setpoint, Schedule, Real-time computing and Efficient energy use, which intersect with Thermostat. His studies examine the connections between Home automation and genetics, as well as such issues in Embedded system, with regards to Drop and Doorbell.

His Control theory research is multidisciplinary, incorporating elements of Simulation and Enclosure. His Enclosure research incorporates elements of Control engineering and Control. As part of his studies on Computer security, Yoky Matsuoka often connects relevant areas like World Wide Web.

His most cited work include:

  • Security scoring in a smart-sensored home (266 citations)
  • Environmental sensing with a doorbell at a smart-home (154 citations)
  • Dynamic device-associated feedback indicative of responsible device usage (136 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Home automation, Thermostat, Real-time computing, Control and HVAC. Yoky Matsuoka has researched Home automation in several fields, including Computer security, Smart device, Embedded system and Doorbell. His Thermostat research includes themes of Schedule, Efficient energy use and Setpoint, Control theory.

His work is dedicated to discovering how Control theory, Enclosure are connected with Phase and other disciplines. He has included themes like Server and Current in his Real-time computing study. His Control study combines topics in areas such as Control engineering, Control theory and Control system.

He most often published in these fields:

  • Home automation (35.00%)
  • Thermostat (33.33%)
  • Real-time computing (23.33%)

What were the highlights of his more recent work (between 2015-2017)?

  • Control (23.33%)
  • Cable gland (3.33%)
  • User Friendly (5.00%)

In recent papers he was focusing on the following fields of study:

Yoky Matsuoka focuses on Control, Cable gland, User Friendly, Controller and Set. His Control research is multidisciplinary, incorporating elements of Control system, Control theory and Sleep. The concepts of his Cable gland study are interwoven with issues in Installation, Computer hardware and Embedded system.

His Order research spans across into subjects like Control engineering and HVAC control system. His studies in Control engineering integrate themes in fields like Thermostat and Visual feedback. Yoky Matsuoka connects HVAC with Simulation in his study.

Between 2015 and 2017, his most popular works were:

  • HVAC control system encouraging energy efficient user behaviors in plural interactive contexts (16 citations)
  • Devices and methods for determining and acting upon cumulative exposure of a building occupant to a hazardous substance (4 citations)
  • HVAC control system providing user efficiency-versus-comfort settings that is adaptable for both data-connected and data-unconnected scenarios (3 citations)

Best Publications

  • Limited access invitation handling at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Environmental sensing with a doorbell at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Dynamic device-associated feedback indicative of responsible device usage

    Anthony Michael Fadell;Yoky Matsuoka;David Sloo;Michael Plitkins

  • Methods for encouraging energy-efficient behaviors based on a network connected thermostat-centric energy efficiency platform

    Isabel Guenette;Yoky Matsuoka;Anthony Michael Fadell;Matthew Lee Rogers

  • Inhibiting deleterious control coupling in an enclosure having multiple HVAC regions

    Yoky Matsuoka;Rangoli Sharan;Anthony Michael Fadell;Matthew Lee Rogers

  • Smart invitation handling at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Control unit with automatic setback capability

    Yoky Matsuoka;Frank E. Astier;Rangoli Sharan;Anthony Michael Fadell

  • Methods and graphical user interfaces for reporting performance information for an HVAC system controlled by a self-programming network-connected thermostat

    Timo A. Bruck;Evan J. Fisher;James B. Simister;Yoky Matsuoka

  • Energy efficiency promoting schedule learning algorithms for intelligent thermostat

    Yoky Matsuoka;Frank E. Astier;Rangoli Sharan;David Sloo

  • Secure handling of unsupervised package drop off at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Automated crowdsourced power outage identification and staggering of hvac system restarts

    Andrew Baynes;Scott Mcgaraghan;Anthony M. Fadell;David Sloo

  • Handling security services visitor at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • HVAC controller with user-friendly installation features with wire insertion detection

    Anthony Michael Fadell;Matthew Lee Rogers;David Sloo;Mark D. Stefanski

  • User-relocatable self-learning environmental control device capable of adapting previous learnings to current location in controlled environment

    Yoky Matsuoka;Daniel A. Warren;Anthony M. Fadell;Matthew L. Rogers

  • Handling specific visitor behavior at an entryway to a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Leveraging neighborhood to handle potential visitor at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Systems and methods for determining or modifying a temperature program based on occupant activity

    Michael Plitkins;Mark D. Stefanski;David Sloo;Yoky Matsuoka

  • Continuous intelligent-control-system update using information requests directed to user devices

    Yoky Matsuoka

  • Hvac schedule establishment in an intelligent, network-connected thermostat

    Yoky Matsuoka;Anthony M. Fadell;Matthew L. Rogers;David Sloo

  • Enclosure cooling using early compressor turn-off with extended fan operation

    Yoky Matsuoka;Mark D. Stefanski;David Sloo

Frequent Co-Authors

Anthony Michael Fadell
Anthony Michael Fadell Build Collective
David Sloo
David Sloo Google (United States)
Mike J. Dixon
Mike J. Dixon University of Waterloo
Shwetak N. Patel
Shwetak N. Patel University of Washington
William H. Greene
William H. Greene New York University

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