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Keiji Nagatani

Keiji Nagatani

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
42
Citations
8284
World Ranking
1800
National Ranking
39

Keiji Nagatani publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Keiji Nagatani sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 325 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Keiji Nagatani D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Keiji Nagatani sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 42 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Keiji Nagatani is affiliated with the University of Tokyo in Japan and has a research profile primarily focused on engineering. Their work spans several subfields including computer vision and pattern recognition, biomedical engineering, aerospace engineering, mechanical engineering, and civil and structural engineering.

Themes central to Nagatani's research include robotic path planning algorithms, robotic locomotion and control, advanced manufacturing and logistics optimization, building information modeling (BIM) and construction integration, robotics and sensor-based localization, 3D surveying and cultural heritage, and hydraulic and pneumatic systems.

Nagatani has contributed to numerous publications, with notable recent papers such as:

  • Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach (2021), published in Advanced Robotics
  • Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections (2020), published in Journal of Robotics and Mechatronics
  • Estimation of articulated angle in six-wheeled dump trucks using multiple GNSS receivers for autonomous driving (2021), published in Advanced Robotics
  • Multimodal artificial intelligence approaches using large language models for expert-level landslide image analysis (2025), published in Computer-Aided Civil and Infrastructure Engineering
  • Improvement in Measurement Area of 3D LiDAR for a Mobile Robot Using a Mirror Mounted on a Manipulator (2020), published in IEEE Robotics and Automation Letters

The frequent coauthors collaborating with Nagatani include Hajime Asama, Atsushi Yamashita, Ryosuke Yajima, Shota Chikushi, and Tomohiro Komatsu.

Nagatani's research outputs have been featured in prominent venues with multiple publications in:

  • The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
  • Proceedings of the... ISARC
  • Advanced Robotics
  • Journal of Robotics and Mechatronics
  • ROBOMECH Journal

Best Publications

  • Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization

    H. Choset;K. Nagatani

  • Emergency response to the nuclear accident at the Fukushima Daiichi Nuclear Power Plants using mobile rescue robots

    Keiji Nagatani;Seiga Kiribayashi;Yoshito Okada;Kazuki Otake

  • Collaborative Mapping of an Earthquake Damaged Building via Ground and Aerial Robots.

    Nathan Michael;Shaojie Shen;Kartik Mohta;Vijay Kumar

  • Collaborative mapping of an earthquake-damaged building via ground and aerial robots

    Nathan Michael;Shaojie Shen;Kartik Mohta;Yash Mulgaonkar

  • Terramechanics-based model for steering maneuver of planetary exploration rovers on loose soil

    Genya Ishigami;Akiko Miwa;Keiji Nagatani;Kazuya Yoshida

  • Redesign of rescue mobile robot Quince

    Keiji Nagatani;Seiga Kiribayashi;Yoshito Okada;Satoshi Tadokoro

  • Experimental study and analysis on driving wheels' performance for planetary exploration rovers moving in deformable soil

    Liang Ding;Haibo Gao;Zongquan Deng;Keiji Nagatani

  • The arc-transversal median algorithm: a geometric approach to increasing ultrasonic sensor azimuth accuracy

    H. Choset;K. Nagatani;N.A. Lazar

  • Improvements to the Rescue Robot Quince Toward Future Indoor Surveillance Missions in the Fukushima Daiichi Nuclear Power Plant

    Tomoaki Yoshida;Keiji Nagatani;Satoshi Tadokoro;Takeshi Nishimura

  • Path Planning for Planetary Exploration Rovers and Its Evaluation based on Wheel Slip Dynamics

    G. Ishigami;K. Nagatani;K. Yoshida

  • Mechanical design of the Wheel-Leg hybrid mobile robot to realize a large wheel diameter

    Kenjiro Tadakuma;Riichiro Tadakuma;Akira Maruyama;Eric Rohmer

  • Adaptive Kalman Filtering for GPS-based Mobile Robot Localization

    G. Reina;A. Vargas;K. Nagatani;K. Yoshida

  • Improvement of odometry for omnidirectional vehicle using optical flow information

    K. Nagatani;S. Tachibana;M. Sofne;Y. Tanaka

  • Traveling performance evaluation of planetary rovers on loose soil

    Masataku Sutoh;Junya Yusa;Tsuyoshi Ito;Keiji Nagatani

  • Motion planning for mobile manipulator with keeping manipulability

    K. Nagatani;T. Hirayama;A. Gofuku;Y. Tanaka

  • Toward robust sensor based exploration by constructing reduced generalized Voronoi graph

    K. Nagatani;H. Choset

  • Path following control for tracked vehicles based on slip-compensating odometry

    D. Endo;Y. Okada;K. Nagatani;K. Yoshida

  • Multirobot exploration for search and rescue missions: A report on map building in RoboCupRescue 2009

    Keiji Nagatani;Yoshito Okada;Naoki Tokunaga;Seiga Kiribayashi

  • Quince : A Collaborative Mobile Robotic Platform for Rescue Robots Research and Development

    Eric Rohmer;Tomoaki Yoshida;Kazunori Ohno;Keiji Nagatani

  • Planetary rovers' wheel---soil interaction mechanics: new challenges and applications for wheeled mobile robots

    Liang Ding;Zongquan Deng;Haibo Gao;Keiji Nagatani

Frequent Co-Authors

Kazuya Yoshida
Kazuya Yoshida Tohoku University
Satoshi Tadokoro
Satoshi Tadokoro Tohoku University
Hajime Asama
Hajime Asama University of Tokyo
Howie Choset
Howie Choset Carnegie Mellon University
Zongquan Deng
Zongquan Deng Harbin Institute of Technology
Liang Ding
Liang Ding Harbin Institute of Technology
Shaojie Shen
Shaojie Shen Hong Kong University of Science and Technology
Nathan Michael
Nathan Michael Carnegie Mellon University
Vijay Kumar
Vijay Kumar University of Pennsylvania

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