World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 56 872 799 370 316 199 9346
Electronics and Electrical Engineering 56 2119 2033 834 781 202 9423

Mac Schwager publications per year

The chart shows the history of publications by Mac Schwager between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mac Schwager published across 21 years, from 2005 to 2025, averaging 13.2 papers a year. Output peaked at 32 publications in 2024. 54 of the 278 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2024. 2005: 3 publications 2006: 1 publication 2007: 2 publications 2008: 4 publications 2009: 6 publications 2010: 4 publications 2011: 10 publications 2012: 5 publications 2013: 6 publications 2014: 8 publications 2015: 12 publications 2016: 21 publications 2017: 10 publications 2018: 15 publications 2019: 17 publications 2020: 28 publications 2021: 29 publications 2022: 19 publications 2023: 24 publications 2024: 32 publications 2025: 22 publications
2005 2025

278 publications in total across all disciplines

View publications per year as a table
Mac Schwager: publications per year, 2005 to 2025
Year Publications
2005 3
2006 1
2007 2
2008 4
2009 6
2010 4
2011 10
2012 5
2013 6
2014 8
2015 12
2016 21
2017 10
2018 15
2019 17
2020 28
2021 29
2022 19
2023 24
2024 32
2025 22
Total 278
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Mac Schwager 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 Mac Schwager sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 197–206 publications, is where this scientist sits. 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
47–56 publications 659+

This scientist: 199 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115 199
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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Mac Schwager 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 Mac Schwager sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 56 D-Index, is where this scientist sits. 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: 56 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48 56
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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Overview

Mac Schwager is affiliated with Stanford University in the United States, with a research focus spanning core areas in computer science and engineering. Their work includes significant contributions to multiple subfields such as computer vision and pattern recognition, artificial intelligence, control and systems engineering, computer networks and communications, and aerospace engineering.

In terms of research topics, Schwager's work covers a variety of areas within robotics and autonomous systems. Key topics include:

  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • Reinforcement Learning in Robotics
  • Distributed Control Multi-Agent Systems
  • Modular Robots and Swarm Intelligence
  • Advanced Control Systems Optimization
  • Autonomous Vehicle Technology and Safety

The publication record of Mac Schwager is extensive, featuring contributions to a range of academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Robotics
  • Robotics and Autonomous Systems
  • Science Robotics

Selected recent papers demonstrating Schwager's research interests are:

  • An Untethered Isoperimetric Soft Robot, 2020, Science Robotics
  • Game-Theoretic Planning for Self-Driving Cars in Multivehicle Competitive Scenarios, 2021, IEEE Transactions on Robotics
  • Foundation Models in Robotics: Applications, Challenges, and the Future, 2024, The International Journal of Robotics Research
  • Scalable Cooperative Transport of Cable-Suspended Loads With UAVs Using Distributed Trajectory Optimization, 2020, IEEE Robotics and Automation Letters
  • Multidrone Aerial Surveys of Penguin Colonies in Antarctica, 2020, Science Robotics

Frequent collaborators include:

  • Ola Shorinwa
  • Jiankai Sun
  • Javier Yu
  • Zachary Manchester
  • Simon Le Cleac'h

Best Publications

  • Decentralized, Adaptive Coverage Control for Networked Robots

    Mac Schwager;Daniela Rus;Jean-Jacques Slotine

  • Fast, On-line Collision Avoidance for Dynamic Vehicles Using Buffered Voronoi Cells

    Dingjiang Zhou;Zijian Wang;Saptarshi Bandyopadhyay;Mac Schwager

  • Persistent Robotic Tasks: Monitoring and Sweeping in Changing Environments

    S. L. Smith;M. Schwager;D. Rus

  • Voronoi coverage of non-convex environments with a group of networked robots

    Andreas Breitenmoser;Mac Schwager;Jean-Claude Metzger;Roland Siegwart

  • Persistent ocean monitoring with underwater gliders: Adapting sampling resolution

    Ryan N. Smith;Mac Schwager;Stephen L. Smith;Burton H. Jones

  • Eyes in the Sky: Decentralized Control for the Deployment of Robotic Camera Networks

    Mac Schwager;Brian John Julian;Michael Angermann;Daniela L. Rus

  • Distributed robotic sensor networks: An information-theoretic approach

    Brian J Julian;Michael Angermann;Mac Schwager;Daniela Rus

  • Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment

    Mac Schwager;Daniela Rus;Jean-Jacques Slotine

  • Distributed Coverage Control with Sensory Feedback for Networked Robots

    Mac Schwager;James McLurkin;Daniela Rus

  • Vision-Based Distributed Formation Control Without an External Positioning System

    Eduardo Montijano;Eric Cristofalo;Dingjiang Zhou;Mac Schwager

  • Agile Coordination and Assistive Collision Avoidance for Quadrotor Swarms Using Virtual Structures

    Dingjiang Zhou;Zijian Wang;Mac Schwager

  • Q-Learning for robust satisfaction of signal temporal logic specifications

    Derya Aksaray;Austin Jones;Zhaodan Kong;Mac Schwager

  • Simultaneous Coverage and Tracking (SCAT) of Moving Targets with Robot Networks

    Luciano C. A. Pimenta;Luciano C. A. Pimenta;Mac Schwager;Quentin Lindsey;Vijay Kumar

  • Robust classification of animal tracking data

    Mac Schwager;Dean M. Anderson;Zack Butler;Daniela Rus

  • A Multi-robot Control Policy for Information Gathering in the Presence of Unknown Hazards

    Mac Schwager;Mac Schwager;Philip M. Dames;Daniela Rus;Vijay Kumar

  • Kinematic multi-robot manipulation with no communication using force feedback

    Zijian Wang;Mac Schwager

  • Intercepting Rogue Robots: An Algorithm for Capturing Multiple Evaders With Multiple Pursuers

    Alyssa Pierson;Zijian Wang;Mac Schwager

  • Distributed multi-robot formation control in dynamic environments

    Javier Alonso-Mora;Eduardo Montijano;Tobias Nägeli;Otmar Hilliges

  • An untethered isoperimetric soft robot

    Nathan S. Usevitch;Zachary M. Hammond;Mac Schwager;Allison M. Okamura

  • Game-Theoretic Planning for Self-Driving Cars in Multivehicle Competitive Scenarios

    Mingyu Wang;Zijian Wang;John Talbot;J. Christian Gerdes

  • Planning periodic persistent monitoring trajectories for sensing robots in Gaussian Random Fields

    Xiaodong Lan;Mac Schwager

  • Optimal coverage for multiple hovering robots with downward facing cameras

    Mac Schwager;Brian J. Julian;Daniela Rus

  • Decentralized, Adaptive Control for Coverage with Networked Robots

    M. Schwager;J.-J. Slotine;D. Rus

Frequent Co-Authors

Zijian Wang
Zijian Wang Chinese Academy of Sciences
Calin Belta
Calin Belta Boston University
Vijay Kumar
Vijay Kumar University of Pennsylvania
Stephen L. Smith
Stephen L. Smith University of Guelph
Marco Pavone
Marco Pavone Stanford University
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Mykel J. Kochenderfer
Mykel J. Kochenderfer Stanford University
Adrien Gaidon
Adrien Gaidon Stanford University

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