World's Best Scientists 2026 revealed!
Yasushi Makihara

Yasushi Makihara

D-Index & Metrics

Computer Science

D-Index
40
Citations
6764
World Ranking
9308
National Ranking
134

Yasushi Makihara 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 Yasushi Makihara 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: 183 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Yasushi Makihara 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 Yasushi Makihara 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Yasushi Makihara is affiliated with Osaka University in Japan, focusing primarily on research within Computer Science and Engineering. Their work has a significant emphasis on subfields such as Computer Vision and Pattern Recognition, Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Media Technology, and Artificial Intelligence.

The main topics addressed in their research include:

  • Gait Recognition and Analysis
  • Human Pose and Action Recognition
  • Diabetic Foot Ulcer Assessment and Management
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • Hand Gesture Recognition Systems
  • Optical Measurement and Interference Techniques

Makihara has contributed extensively to scientific literature with publications in key venues, including:

  • IEEE Access
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • IEICE Transactions on Information and Systems
  • Pattern Recognition Letters
  • Pattern Recognition

Frequent collaborators in Makihara's research include Yasushi Yagi, Daigo Muramatsu, Chi Xu, Xiang Li, and Tomoya Nakamura.

Some recent publications from Makihara's contributions are:

  • Performance Evaluation of Model-Based Gait on Multi-View Very Large Population Database With Pose Sequences, 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • Cross-View Gait Recognition Using Pairwise Spatial Transformer Networks, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Action recognition using kinematics posture feature on 3D skeleton joint locations, 2021, Pattern Recognition Letters
  • Wearable Sensor-Based Gait Analysis for Age and Gender Estimation, 2020, Sensors
  • Occlusion-Aware Human Mesh Model-Based Gait Recognition, 2023, IEEE Transactions on Information Forensics and Security

Best Publications

  • Gait recognition using a view transformation model in the frequency domain

    Yasushi Makihara;Ryusuke Sagawa;Yasuhiro Mukaigawa;Tomio Echigo

  • GEINet: View-invariant gait recognition using a convolutional neural network

    Kohei Shiraga;Yasushi Makihara;Daigo Muramatsu;Tomio Echigo

  • The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition

    H. Iwama;M. Okumura;Y. Makihara;Y. Yagi

  • Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition

    Noriko Takemura;Yasushi Makihara;Daigo Muramatsu;Tomio Echigo

  • The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication

    Thanh Trung Ngo;Yasushi Makihara;Hajime Nagahara;Yasuhiro Mukaigawa

  • The OU-ISIR Gait Database Comprising the Treadmill Dataset

    Yasushi Makihara;Hidetoshi Mannami;Akira Tsuji;Md. Altab Hossain;Md. Altab Hossain

  • Clothing-invariant gait identification using part-based clothing categorization and adaptive weight control

    Md. Altab Hossain;Yasushi Makihara;Junqiu Wang;Yasushi Yagi

  • On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition

    Noriko Takemura;Yasushi Makihara;Daigo Muramatsu;Tomio Echigo

  • Performance Evaluation of Model-Based Gait on Multi-View Very Large Population Database With Pose Sequences

    Weizhi An;Shiqi Yu;Yasushi Makihara;Xinhui Wu

  • Gait-Based Person Recognition Using Arbitrary View Transformation Model

    Daigo Muramatsu;Akira Shiraishi;Yasushi Makihara;Md. Zasim Uddin

  • End-to-End Model-Based Gait Recognition

    Xiang Li;Xiang Li;Yasushi Makihara;Chi Xu;Chi Xu;Yasushi Yagi

  • Gait analysis of gender and age using a large-scale multi-view gait database

    Yasushi Makihara;Hidetoshi Mannami;Yasushi Yagi

  • Gait Verification System for Criminal Investigation

    Haruyuki Iwama;Daigo Muramatsu;Yasushi Makihara;Yasushi Yagi

  • Similar gait action recognition using an inertial sensor

    Trung Thanh Ngo;Yasushi Makihara;Hajime Nagahara;Yasuhiro Mukaigawa

  • View Transformation Model Incorporating Quality Measures for Cross-View Gait Recognition

    Daigo Muramatsu;Yasushi Makihara;Yasushi Yagi

  • Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features

    Xiang Li;Yasushi Makihara;Chi Xu;Yasushi Yagi

  • Silhouette transformation based on walking speed for gait identification

    Akira Tsuji;Yasushi Makihara;Yasushi Yagi

  • Gait-based age estimation using a whole-generation gait database

    Yasushi Makihara;Mayu Okumura;Haruyuki Iwama;Yasushi Yagi

  • Cross-View Gait Recognition Using Pairwise Spatial Transformer Networks

    Chi Xu;Yasushi Makihara;Xiang Li;Yasushi Yagi

  • Object recognition supported by user interaction for service robots

    Y. Makihara;M. Takizawa;Y. Shirai;J. Miura

  • Inverse Dynamics for Action Recognition

    Al Mansur;Yasushi Makihara;Yasushi Yagi

  • The OU-ISIR Gait Database Comprising the Treadmill Dataset (IPSJ Transactions on Computer Vision and Applications Vol.4)

    Yasushi Makihara;Hidetoshi Mannami;Akira Tsuji

Frequent Co-Authors

Yasushi Yagi
Yasushi Yagi Osaka University
Yoshiaki Shirai
Yoshiaki Shirai Ritsumeikan University
Jun Miura
Jun Miura Toyohashi University of Technology
Hiroaki Kazui
Hiroaki Kazui Kōchi University
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
John N. Carter
John N. Carter University of Southampton
Ko Nishino
Ko Nishino Kyoto University
Masatoshi Takeda
Masatoshi Takeda Izumi University
Masashi Shiraishi
Masashi Shiraishi Kyoto University

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