World's Best Scientists 2026 revealed!
Ryosuke Shibasaki

Ryosuke Shibasaki

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
10522
World Ranking
4611
National Ranking
51

Ryosuke Shibasaki publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ryosuke Shibasaki sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 561 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ryosuke Shibasaki D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ryosuke Shibasaki sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Ryosuke Shibasaki is affiliated with the University of Tokyo in Japan and has contributed extensively to research in multiple intersecting fields. Their work spans social sciences, engineering, and computer science, addressing topics primarily related to human mobility, transportation, and data analysis.

Their research focuses on areas including:

  • Human Mobility and Location-Based Analysis
  • Traffic Prediction and Management Techniques
  • Urban Transport and Accessibility
  • Transportation Planning and Optimization
  • Data-Driven Disease Surveillance
  • Data Management and Algorithms
  • Remote-Sensing Image Classification

Shibasaki's studies often intersect subfields such as transportation, building and construction, computer vision and pattern recognition, ocean engineering, and artificial intelligence. These interdisciplinary approaches reflect their integration of advanced computational methods in practical urban and environmental contexts.

Frequent collaborators in their research include Xuan Song, Haoran Zhang, Zipei Fan, Renhe Jiang, and Jinyu Chen. This collaboration network suggests sustained cooperative efforts likely enriching their research output.

The scientist has published in various scholarly venues, with repeated contributions to:

  • arXiv (Cornell University)
  • Cities
  • Journal of Cleaner Production
  • IEEE Transactions on Intelligent Transportation Systems
  • SSRN Electronic Journal

Among recent papers authored or co-authored by Shibasaki are:

  • Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning, 2021, Advances in Applied Energy
  • Oil Palm Tree Detection and Health Classification on High-Resolution Imagery Using Deep Learning, 2021, Agriculture
  • A Method for Vehicle Detection in High-Resolution Satellite Images that Uses a Region-Based Object Detector and Unsupervised Domain Adaptation, 2020, Remote Sensing
  • Mobile phone GPS data in urban customized bus: Dynamic line design and emission reduction potentials analysis, 2020, Journal of Cleaner Production
  • DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction, 2021, IEEE Transactions on Knowledge and Data Engineering

These publications demonstrate a focus on practical applications of machine learning and deep learning techniques for urban mobility, environmental monitoring, and transportation system optimization. The work spans usage of satellite and aerial imagery to GPS data analytics, illustrating a combination of remote sensing and urban planning tools.

Best Publications

  • Activity-aware map: identifying human daily activity pattern using mobile phone data

    Santi Phithakkitnukoon;Teerayut Horanont;Giusy Di Lorenzo;Ryosuke Shibasaki

  • A novel system for tracking pedestrians using multiple single-row laser-range scanners

    Huijing Zhao;R. Shibasaki

  • UAV-Borne 3-D Mapping System by Multisensor Integration

    M. Nagai;Tianen Chen;R. Shibasaki;H. Kumagai

  • Learning deep representation from big and heterogeneous data for traffic accident inference

    Quanjun Chen;Xuan Song;Harutoshi Yamada;Ryosuke Shibasaki

  • DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

    Renhe Jiang;Du Yin;Zhaonan Wang;Yizhuo Wang

  • Estimating crop yields with deep learning and remotely sensed data

    Kentaro Kuwata;Ryosuke Shibasaki

  • Deeptransport: prediction and simulation of human mobility and transportation mode at a citywide level

    Xuan Song;Hiroshi Kanasugi;Ryosuke Shibasaki

  • Prediction of human emergency behavior and their mobility following large-scale disaster

    Xuan Song;Quanshi Zhang;Yoshihide Sekimoto;Ryosuke Shibasaki

  • Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks

    Guangming Wu;Xiaowei Shao;Zhiling Guo;Qi Chen

  • CityMomentum: an online approach for crowd behavior prediction at a citywide level

    Zipei Fan;Xuan Song;Ryosuke Shibasaki;Ryutaro Adachi

  • Reconstructing a textured CAD model of an urban environment using vehicle-borne laser range scanners and line cameras

    Huijing Zhao;Ryosuke Shibasaki

  • PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data

    Y. Sekimoto;R. Shibasaki;H. Kanasugi;T. Usui

  • CitySpectrum: a non-negative tensor factorization approach

    Zipei Fan;Xuan Song;Ryosuke Shibasaki

  • A vehicle-borne urban 3-D acquisition system using single-row laser range scanners

    Huijing Zhao;R. Shibasaki

  • Modeling and probabilistic reasoning of population evacuation during large-scale disaster

    Xuan Song;Quanshi Zhang;Yoshihide Sekimoto;Teerayut Horanont

  • Laser-based detection and tracking of multiple people in crowds

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • Measuring spatio-temporal accessibility to emergency medical services through big GPS data.

    Tianqi Xia;Tianqi Xia;Xuan Song;Xuan Song;Haoran Zhang;Xiaoya Song;Xiaoya Song

  • Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning

    Peiran Li;Haoran Zhang;Haoran Zhang;Zhiling Guo;Suxing Lyu

  • SLAM in a dynamic large outdoor environment using a laser scanner

    Huijing Zhao;M. Chiba;R. Shibasaki;Xiaowei Shao

  • Pseudo 3-D space representation system, pseudo 3-D space constructing system, game system and electronic map providing system

    Masatoshi Arikawa;Hiroya Tanaka;Ryosuke Shibasaki

  • Reconstructing Textured CAD Model of Urban Environment Using Vehicle-Borne Laser Range Scanners and Line Cameras

    Huijing Zhao;Ryosuke Shibasaki

  • Multi-modal tracking of people using laser scanners and video camera

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • Wavelet Analysis and Its Application

    Zhongchao Shi;Ryosuke Shibasaki

Frequent Co-Authors

Xuan Song
Xuan Song University of Tokyo
Huijing Zhao
Huijing Zhao Peking University
Hongbin Zha
Hongbin Zha Peking University
Zhongxin Chen
Zhongxin Chen National University of Singapore
Tao Li
Tao Li Florida International University
Jinyue Yan
Jinyue Yan Mälardalen University
Adam Jatowt
Adam Jatowt University of Innsbruck
Hiroshi Nishiura
Hiroshi Nishiura Kyoto University
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)

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