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Michael D. Todd

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 48 1314 1211 527 455 303 7760

Michael D. Todd publications per year

The chart shows the history of publications by Michael D. Todd between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michael D. Todd published across 30 years, from 1996 to 2025, averaging 14 papers a year. Output peaked at 44 publications in 2022. 49 of the 421 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 44. Peak 44 publications in 2022. 1996: 2 publications 1997: 4 publications 1998: 6 publications 1999: 6 publications 2000: 5 publications 2001: 8 publications 2002: 7 publications 2003: 11 publications 2004: 7 publications 2005: 7 publications 2006: 8 publications 2007: 11 publications 2008: 17 publications 2009: 23 publications 2010: 21 publications 2011: 21 publications 2012: 20 publications 2013: 27 publications 2014: 17 publications 2015: 7 publications 2016: 4 publications 2017: 14 publications 2018: 7 publications 2019: 10 publications 2020: 13 publications 2021: 17 publications 2022: 44 publications 2023: 28 publications 2024: 27 publications 2025: 22 publications
1996 2025

421 publications in total across all disciplines

View publications per year as a table
Michael D. Todd: publications per year, 1996 to 2025
Year Publications
1996 2
1997 4
1998 6
1999 6
2000 5
2001 8
2002 7
2003 11
2004 7
2005 7
2006 8
2007 11
2008 17
2009 23
2010 21
2011 21
2012 20
2013 27
2014 17
2015 7
2016 4
2017 14
2018 7
2019 10
2020 13
2021 17
2022 44
2023 28
2024 27
2025 22
Total 421
Download as CSV

Michael D. Todd publications per year - data summary

  • Michael D. Todd, a Mechanical and Aerospace Engineering scholar from University of California, San Diego, has 421 publications recorded across 30 years, from 1996 to 2025.
  • The oldest publication on record dates to 1996 and the most recent to 2025.
  • The most productive year is 2022, with 44 publications.
  • The least productive year with any output is 1996, with 2 publications.
  • The rate of publication averages 14.0 papers per year over the whole span, or 14.0 per year counting only the 30 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 138 publications, 33% of the career total.
  • Split into equal eras - 1996-2005: 63 publications (6.3 per year); 2006-2015: 172 publications (17.2 per year); 2016-2025: 186 publications (18.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Michael D. Todd 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 Michael D. Todd 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, 297–306 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: 303 publications — 73rd percentile

73% 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
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 74 303
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
Download as CSV

Michael D. Todd publication distribution in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the publication count of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 63 ranges running from 47–56 to 659+ publications.
  • Michael D. Todd, a Mechanical and Aerospace Engineering scholar from University of California, San Diego, records 303 publications - the 73rd percentile of the discipline.
  • 73% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Michael D. Todd, and about 27% score higher.
  • The median of the discipline falls in the 217–226 publications range, and Michael D. Todd ranks above the median.
  • The most crowded range is 147–156 publications, holding 155 scientists (4% of the field).
  • 46% of the field sits in the lowest quarter of the value range (up to 197–206 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 659 publications or more, 100 scientists in all (3% of the field).

Michael D. Todd 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 Michael D. Todd 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, 48 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: 48 D-Index — 64th percentile

64% 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 48
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
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
Download as CSV

Michael D. Todd D-index placement in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 64 ranges running from 30 to 93+ D-Index.
  • Michael D. Todd, a Mechanical and Aerospace Engineering scholar from University of California, San Diego, records 48 D-Index - the 64th percentile of the discipline.
  • 64% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Michael D. Todd, and about 36% score higher.
  • The median of the discipline falls in the 43 D-Index range, and Michael D. Todd ranks above the median.
  • The most crowded range is 34 D-Index, holding 189 scientists (5% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 45 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 93 D-Index or more, 100 scientists in all (3% of the field).

Research.com Recognitions

  • 2004 - Hellman Fellow

Overview

Michael D. Todd is affiliated with the University of California, San Diego in the United States and has a research focus within the broad field of Engineering. Their work spans several subfields including Civil and Structural Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering, Mechanics of Materials, and Control and Systems Engineering.

Their research topics cover a range of areas with emphasis on Structural Health Monitoring Techniques, Probabilistic and Robust Engineering Design, Infrastructure Maintenance and Monitoring, Concrete Corrosion and Durability, Non-Destructive Testing Techniques, Ultrasonics and Acoustic Wave Propagation, and Model Reduction and Neural Networks.

Michael D. Todd has published numerous papers in numerous scholarly venues. Frequent publication venues include:

  • Mechanical Systems and Signal Processing
  • Structural Health Monitoring
  • Structural and Multidisciplinary Optimization
  • Reliability Engineering & System Safety
  • Journal of Civil Structural Health Monitoring

Some of their recent papers are:

  • A comprehensive review of digital twin-part 1: modeling and twinning enabling technologies, 2022, Structural and Multidisciplinary Optimization
  • A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives, 2022, Structural and Multidisciplinary Optimization
  • Damage detection in railway bridges using traffic-induced dynamic responses, 2021, Engineering Structures
  • A variational Bayesian neural network for structural health monitoring and cost-informed decision-making in miter gates, 2020, Structural Health Monitoring
  • Arbitrary polynomial chaos expansion method for uncertainty quantification and global sensitivity analysis in structural dynamics, 2020, Mechanical Systems and Signal Processing

Frequent co-authors include:

  • Zhen Hu (48 publications)
  • Mayank Chadha (19 publications)
  • Manuel A. Vega (16 publications)
  • Hua-Ping Wan (12 publications)
  • David Najera-Flores (12 publications)

Michael D. Todd was recognized as a Hellman Fellow in 2004.

Best Publications

  • Energy Harvesting for Structural Health Monitoring Sensor Networks

    Gyuhae Park;Tajana Rosing;Michael D. Todd;Charles R. Farrar

  • A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing

    Eric B. Flynn;Michael D. Todd

  • Development of an impedance-based wireless sensor node for structural health monitoring

    David L Mascarenas;Michael D Todd;Gyuhae Park;Charles R Farrar

  • A review of nonlinear dynamics applications to structural health monitoring

    Keith Worden;Charles R. Farrar;Jonathan Haywood;Michael Todd

  • Experimental studies of using wireless energy transmission for powering embedded sensor nodes

    David L. Mascarenas;Eric B. Flynn;Michael D. Todd;Timothy G. Overly

  • Maximum-likelihood estimation of damage location in guided-wave structural health monitoring

    Eric B. Flynn;Michael D. Todd;Paul D. Wilcox;Bruce W. Drinkwater

  • Nonlinear System Identification for Damage Detection

    Charles R. Farrar;Keith Worden;Michael D. Todd;Gyuhae Park

  • Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio

    M D Todd;J M Nichols;L M Pecora;L N Virgin

  • Sensing Network Paradigms for Structural Health Monitoring

    C. R. Farrar;G. Park;M. D. Todd

  • Use of chaotic excitation and attractor property analysis in structural health monitoring

    J. M. Nichols;M. D. Todd;M. Seaver;L. N. Virgin

  • Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data

    Y. Bazilevs;X. Deng;A. Korobenko;F. Lanza di Scalea

  • A mobile-agent-based wireless sensing network for structural monitoring applications

    Stuart G Taylor;Kevin M Farinholt;Eric B Flynn;Eloi Figueiredo

  • A Mobile Host Approach for Wireless Powering and Interrogation of Structural Health Monitoring Sensor Networks

    D. Mascarenas;E. Flynn;C. Farrar;G. Park

  • Bragg grating-based fibre optic sensors in structural health monitoring.

    Michael D Todd;Jonathan M Nichols;Stephen T Trickey;Mark Seaver

  • Optimal Placement of Piezoelectric Actuators and Sensors for Detecting Damage in Plate Structures

    Eric B. Flynn;Michael D. Todd

  • Using state space predictive modeling with chaotic interrogation in detecting joint preload loss in a frame structure experiment

    J M Nichols;M D Todd;J R Wait

  • Damage detection in railway bridges using traffic-induced dynamic responses

    Andreia Meixedo;João Santos;Diogo Ribeiro;Rui Calçada

  • Structural Health Monitoring Through Chaotic Interrogation

    J. M. Nichols;S. T. Trickey;M. D. Todd;L. N. Virgin

  • Deployment of a fiber Bragg grating-based measurement system in a structural health monitoring application

    M D Todd;G A Johnson;S T Vohra

  • A multivariate, attractor-based approach to structural health monitoring

    L. Moniz;J.M. Nichols;C.J. Nichols;M. Seaver

  • A mobile-agent based wireless sensing network for structural monitoring applications

    Stuart G Taylor;Kevin M Farinholt;Eloi Figueiredo;Gyuhae Park

Frequent Co-Authors

Gyuhae Park
Gyuhae Park Chonnam National University
Charles R. Farrar
Charles R. Farrar Los Alamos National Laboratory
Matthew Barth
Matthew Barth University of California, Riverside
Lawrence N. Virgin
Lawrence N. Virgin Duke University
Paul D. Wilcox
Paul D. Wilcox University of Bristol
Bruce W. Drinkwater
Bruce W. Drinkwater University of Bristol
Keith Worden
Keith Worden University of Sheffield
Tajana Rosing
Tajana Rosing University of California, San Diego
Susan Shaheen
Susan Shaheen University of California, Berkeley
Rajesh Gupta
Rajesh Gupta University of California, San Diego

External Links

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Related Online Degrees & Career Pathways

Exploring related online degrees can provide valuable alternatives and supplementary skills for students interested in Mechanical and Aerospace Engineering. Understanding types of therapy degrees reveals how interdisciplinary knowledge in human factors and ergonomics can enhance engineering design, especially in aerospace systems where human interaction is critical.

For those seeking flexible and accessible options, the best easiest counseling degree programs highlight how certain degrees offer streamlined pathways. This flexibility could inspire engineering students to combine technical expertise with behavioral sciences for careers in safety engineering or technical consulting.

Fast-track education can also be a strategic choice. Programs like the quickest online ABA masters program demonstrate how students can accelerate their learning and transition quickly into specialized fields, a model increasingly relevant to engineering professionals seeking advanced certifications or leadership roles.

Additionally, insights on graduate program admissions such as SLP graduate programs emphasize the importance of understanding application requirements and acceptance rates, which is equally crucial for competitive engineering graduate programs.

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