World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
13968
World Ranking
2363
National Ranking
920

Nathan Michael publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Nathan Michael sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 171 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Nathan Michael D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Nathan Michael sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Nathan Michael is affiliated with Carnegie Mellon University in the United States. Their research focuses primarily on engineering and computer science, with specialized work in subfields such as computer vision and pattern recognition, aerospace engineering, computer networks and communications, mechanical engineering, and control and systems engineering.

The principal topics covered in Nathan Michael's research include robotic path planning algorithms, robotics and sensor-based localization, distributed control in multi-agent systems, 3D surveying and cultural heritage, teleoperation and haptic systems, remote sensing and LiDAR applications, and 3D shape modeling and analysis.

Recent publications by Nathan Michael reflect this broad spectrum of expertise. Notable papers include:

  • Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models, 2023, IEEE Robotics and Automation Letters
  • Scalable Distributed Planning for Multi-Robot, Multi-Target Tracking, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Rapid and High-Fidelity Subsurface Exploration with Multiple Aerial Robots, 2021, Springer proceedings in advanced robotics
  • Rotational Error Metrics for Quadrotor Control, 2020, arXiv (Cornell University)
  • Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models, 2023, arXiv (Cornell University)

Nathan Michael collaborates frequently with several coauthors, including Kshitij Goel, Wennie Tabib, Micah Corah, Xuning Yang, and Curtis Boirum. These collaborations have contributed to the diverse and interdisciplinary nature of their research output.

The scientist has published repeatedly in various venues, with a concentration of work appearing in arXiv (Cornell University), IEEE Robotics and Automation Letters, the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and Springer proceedings in advanced robotics.

Best Publications

  • Trajectory generation and control for precise aggressive maneuvers with quadrotors

    Daniel Mellinger;Nathan Michael;Vijay Kumar

  • The GRASP Multiple Micro-UAV Testbed

    N Michael;D Mellinger;Q Lindsey;V Kumar

  • Cooperative manipulation and transportation with aerial robots

    Nathan Michael;Jonathan Fink;Vijay Kumar

  • Cooperative Grasping and Transport Using Multiple Quadrotors

    Daniel Mellinger;Michael Shomin;Nathan Michael;Vijay Kumar

  • Autonomous multi-floor indoor navigation with a computationally constrained MAV

    Shaojie Shen;Nathan Michael;Vijay Kumar

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

    Nathan Michael;Shaojie Shen;Kartik Mohta;Vijay Kumar

  • Opportunities and challenges with autonomous micro aerial vehicles

    Vijay Kumar;Nathan Michael

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

    Nathan Michael;Shaojie Shen;Kartik Mohta;Yash Mulgaonkar

  • Trajectory generation and control of a quadrotor with a cable-suspended load - A differentially-flat hybrid system

    Koushil Sreenath;Nathan Michael;Vijay Kumar

  • Planning and control for cooperative manipulation and transportation with aerial robots

    Jonathan Fink;Nathan Michael;Soonkyum Kim;Vijay Kumar

  • Distributed multi-robot task assignment and formation control

    N. Michael;M.M. Zavlanos;V. Kumar;G.J. Pappas

  • Trajectory design and control for aggressive formation flight with quadrotors

    Matthew Turpin;Nathan Michael;Vijay Kumar

  • Tightly-coupled monocular visual-inertial fusion for autonomous flight of rotorcraft MAVs

    Shaojie Shen;Nathan Michael;Vijay Kumar

  • Vision-Based, Distributed Control Laws for Motion Coordination of Nonholonomic Robots

    N. Moshtagh;N. Michael;A. Jadbabaie;K. Daniilidis

  • Capt: Concurrent assignment and planning of trajectories for multiple robots

    Matthew Turpin;Nathan Michael;Vijay Kumar

  • Vision-Based Localization for Leader–Follower Formation Control

    G.L. Mariottini;F. Morbidi;D. Prattichizzo;N. Vander Valk

  • Multi-sensor fusion for robust autonomous flight in indoor and outdoor environments with a rotorcraft MAV

    Shaojie Shen;Yash Mulgaonkar;Nathan Michael;Vijay Kumar

  • Vision-Based State Estimation and Trajectory Control Towards High-Speed Flight with a Quadrotor

    Shaojie Shen;Yash Mulgaonkar;Nathan Michael;Vijay Kumar

  • Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping

    Benjamin Charrow;Gregory Kahn;Sachin Patil;Sikang Liu

  • Autonomous indoor 3D exploration with a micro-aerial vehicle

    Shaojie Shen;Nathan Michael;Vijay Kumar

Frequent Co-Authors

Shaojie Shen
Shaojie Shen Hong Kong University of Science and Technology
Frank Dellaert
Frank Dellaert Georgia Institute of Technology
George J. Pappas
George J. Pappas University of Pennsylvania
Satoshi Tadokoro
Satoshi Tadokoro Tohoku University
Kostas Daniilidis
Kostas Daniilidis University of Pennsylvania
Larry Matthies
Larry Matthies Jet Propulsion Lab
Mac Schwager
Mac Schwager Stanford University
Koushil Sreenath
Koushil Sreenath University of California, Berkeley
Keiji Nagatani
Keiji Nagatani Tohoku University

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Related Online Degrees & Career Pathways

For those interested in studying Electronics and Electrical Engineering in the USA, exploring related online degrees can provide flexible and targeted options. Many institutions offer programs designed for specific groups, such as online colleges for military spouses, making education more accessible for families with unique circumstances.

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