World's Best Scientists 2026 revealed!
Tomonori Nagayama

Tomonori Nagayama

D-Index & Metrics

Engineering and Technology

D-Index
30
Citations
3082
World Ranking
9792
National Ranking
232

Tomonori Nagayama 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 Tomonori Nagayama 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: 169 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Tomonori Nagayama 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 Tomonori Nagayama 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

Tomonori Nagayama is affiliated with the University of Tokyo in Japan and has a research focus predominantly in the field of engineering, with extensive work in civil and structural engineering, mechanical engineering, control and systems engineering, automotive engineering, and geophysics.

Their research encompasses several main topics including:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Railway Engineering and Dynamics
  • Structural Engineering and Vibration Analysis
  • Seismic Performance and Analysis
  • Concrete Corrosion and Durability
  • Vibration and Dynamic Analysis

Nagayama has contributed to various frequent publication venues, highlighting a broad engagement with both specialized and interdisciplinary audiences. These venues include:

  • Report
  • Engineering Structures
  • Japanese Journal of JSCE
  • Structural Control and Health Monitoring
  • Mechanical Systems and Signal Processing

Notable recent papers authored by Nagayama or their collaborators cover a range of topics, showing application of engineering principles and advanced analytical techniques such as machine learning and signal processing. These publications are:

  • "Road profile estimation and half-car model identification through the automated processing of smartphone data" (2020) published in Mechanical Systems and Signal Processing
  • "Mapping Subsurface Utility Pipes by 3-D Convolutional Neural Network and Kirchhoff Migration Using GPR Images" (2020) published in IEEE Transactions on Geoscience and Remote Sensing
  • "The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem" (2021) published in Structural Health Monitoring
  • "Structure system estimation under seismic excitation with an adaptive extended kalman filter" (2020) published in Journal of Sound and Vibration
  • "Static and dynamic vehicle load identification with lane detection from measured bridge acceleration and inclination responses" (2021) published in Structural Control and Health Monitoring

The scientist's collaborations include frequent work with colleagues Di Su, Yaohua Yang, Kai Xue, Masaru Kitahara, and Boyu Zhao, indicating an active network in their research community.

Tomonori Nagayama has also contributed to academic literature through book publication, notably with Springer Nature. The work titled "Experimental Vibration Analysis for Civil Engineering Structures" was published in 2022 and has been cited in the field.

Best Publications

  • Flexible smart sensor framework for autonomous structural health monitoring

    Jennifer A. Rice;Kirill Mechitov;Sung Han Sim;Tomonori Nagayama

  • Structural Health Monitoring Using Smart Sensors

    T. Nagayama;Jr F. Spencer;Y. Fujino

  • Smart Wireless Sensor Technology for Structural Health Monitoring of Civil Structures

    Cho, Soojin;Chung Bang Yun;Jerome P. Lynch;Andrew T. Zimmerman

  • Issues in structural health monitoring employing smart sensors

    T. Nagayama;S.H. Sim;Y. Miyamori;B.F. Spencer

  • Research and Implementations of Structural Monitoring for Bridges and Buildings in Japan

    Yozo Fujino;Dionysius M. Siringoringo;Yoshiki Ikeda;Tomonori Nagayama

  • Structural identification of a nonproportionally damped system and its application to a full-scale suspension bridge

    Tomonori Nagayama;Masato Abe;Yozo Fujino;Kenji Ikeda

  • Bridge natural frequency estimation by extracting the common vibration component from the responses of two vehicles

    T. Nagayama;A.P. Reksowardojo;D. Su;T. Mizutani

  • Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification

    Hongki Jo;Sung Han Sim;Tomonori Nagayama;B. F. Spencer

  • Reliable multi-hop communication for structural health monitoring

    Tomonori Nagayama;Parya Moinzadeh;Kirill Mechitov;Mitsushi Ushita

  • Extraction of bridge fundamental frequency from estimated vehicle excitation through a particle filter approach

    Haoqi Wang;Tomonori Nagayama;Junki Nakasuka;Boyu Zhao

  • Autonomous decentralized structural health monitoring using smart sensors

    T. Nagayama;B. F. Spencer;Jennifer A. Rice

  • Mapping Subsurface Utility Pipes by 3-D Convolutional Neural Network and Kirchhoff Migration Using GPR Images

    Unknown

  • Road profile estimation, and its numerical and experimental validation, by smartphone measurement of the dynamic responses of an ordinary vehicle

    Boyu Zhao;Tomonori Nagayama;Kai Xue

  • Multimetric Sensing for Structural Damage Detection

    S H Sim;S H Sim;B F Spencer Jr;B F Spencer Jr;Tomonori Nagayama;Tomonori Nagayama

  • Road profile estimation and half-car model identification through the automated processing of smartphone data

    Kai Xue;Tomonori Nagayama;Boyu Zhao

  • SENSOR DEVELOPMENT USING BERKELEY MOTE PLATFORM

    Manuel Ruiz-Sandoval;Tomonori Nagayama;B. F. Spencer

  • Decentralized damage identification using wavelet signal analysis embedded on wireless smart sensors

    Gun Jin Yun;Soon-Gie Lee;Joan Carletta;Tomonori Nagayama

  • Identification of moving vehicle parameters using bridge responses and estimated bridge pavement roughness

    Haoqi Wang;Tomonori Nagayama;Boyu Zhao;Di Su

  • The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem:

    Yuequan Bao;Jian Li;Tomonori Nagayama;Yang Xu

  • Hybrid wireless smart sensor network for full-scale structural health monitoring of a cable-stayed bridge

    Hongki Jo;Sung Han Sim;Kirill A. Mechitov;Robin Kim

  • Middleware services for structural health monitoring using smart sensors

    T. Nagayama;B.F. Spencer;K.A. Mechitov;G.A. Agha

  • Estimation of dynamic tire force by measurement of vehicle body responses with numerical and experimental validation

    Haoqi Wang;Tomonori Nagayama;Di Su

Frequent Co-Authors

Yozo Fujino
Yozo Fujino Yokohama National University
Billie F. Spencer
Billie F. Spencer University of Illinois at Urbana-Champaign
Chung Bang Yun
Chung Bang Yun Korea Advanced Institute of Science and Technology
Hyung-Jo Jung
Hyung-Jo Jung Korea Advanced Institute of Science and Technology
Gul Agha
Gul Agha University of Illinois at Urbana-Champaign
Gun Jin Yun
Gun Jin Yun Seoul National University
Chenyang Lu
Chenyang Lu Washington University in St. Louis
Hoon Sohn
Hoon Sohn Korea Advanced Institute of Science and Technology
Jerome P. Lynch
Jerome P. Lynch University of Michigan–Ann Arbor
Hiroshi Matsuda
Hiroshi Matsuda Tokyo University of Agriculture and Technology

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