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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
33
Citations
5997
World Ranking
2971
National Ranking
1013

Matthew P. Castanier 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 Matthew P. Castanier 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: 167 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Matthew P. Castanier 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 Matthew P. Castanier 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: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Matthew P. Castanier is affiliated with the United States Army Research Laboratory in the United States. Their research spans multiple fields, primarily focusing on engineering and computer science. Castanier's work extensively covers subfields such as industrial and manufacturing engineering, automotive engineering, artificial intelligence, information systems, and safety, risk, reliability and quality.

They have contributed substantial research in topics including digital transformation in industry, technology assessment and management, manufacturing process and optimization, transportation and mobility innovations, advanced multi-objective optimization algorithms, robotic path planning algorithms, and advanced combustion engine technologies.

Their recent publications reflect a focus on robotics, systems engineering, vehicle technology, and digital tools for maintenance and forecasting. Notable papers include:

  • "Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty," 2022, published in IEEE Transactions on Robotics
  • "Power Prediction for Heterogeneous Ground Robots Through Spatial Mapping and Sharing of Terrain Data," 2020, IEEE Robotics and Automation Letters
  • "Model-free speed management for a heterogeneous platoon of connected ground vehicles," 2020, Journal of Intelligent Transportation Systems
  • "Blockchain technology for requirement traceability in systems engineering," 2024, Information Systems
  • "Application of a Digital Twin Virtual Engineering Tool for Ground Vehicle Maintenance Forecasting," 2022, SAE International Journal of Advances and Current Practices in Mobility

Castanier frequently collaborates with researchers such as Denise Rizzo, Kira Barton, John R. Wagner, Maani Ghaffari, and Cameron J. Turner.

Their work has appeared predominantly in the following publication venues:

  • SAE technical papers on CD-ROM/SAE technical paper series
  • arXiv (Cornell University)
  • SAE International Journal of Advances and Current Practices in Mobility
  • IEEE Transactions on Robotics
  • IEEE Robotics and Automation Letters

Best Publications

  • A lumped-parameter electro-thermal model for cylindrical batteries

    Xinfan Lin;Hector E. Perez;Shankar Mohan;Jason B. Siegel

  • Modeling and Analysis of Mistuned Bladed Disk Vibration: Status and Emerging Directions

    Matthew P. Castanier;Christophe Pierre

  • Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring

    Xinfan Lin;Hector E. Perez;Jason B. Siegel;Anna G. Stefanopoulou

  • Component-Mode-Based Reduced Order Modeling Techniques for Mistuned Bladed Disks—Part I: Theoretical Models

    Ronnie Bladh;Matthew P. Castanier;Christophe Pierre

  • A reduced-order modeling technique for mistuned bladed disks

    M. P. Castanier;G. Óttarsson;C. Pierre

  • Compact, Generalized Component Mode Mistuning Representation for Modeling Bladed Disk Vibration

    Sang-Ho Lim;Ronnie Bladh;Matthew P. Castanier;Christophe Pierre

  • Characteristic Constraint Modes for Component Mode Synthesis

    Matthew P. Castanier;Yung-Chang Tan;Christophe Pierre

  • Using Intentional Mistuning in the Design of Turbomachinery Rotors

    Matthew P. Castanier;Christophe Pierre

  • Dynamic Response Predictions for a Mistuned Industrial Turbomachinery Rotor Using Reduced-Order Modeling

    R. Bladh;C. Pierre;M. P. Castanier;M. J. Kruse

  • Component-Mode-Based Reduced Order Modeling Techniques for Mistuned Bladed Disks—Part II: Application

    Ronnie Bladh;Matthew P. Castanier;Christophe Pierre

  • Reduced Order Modeling and Vibration Analysis of Mistuned Bladed Disk Assemblies With Shrouds

    R. Bladh;M. P. Castanier;C. Pierre

  • Parameterization and Observability Analysis of Scalable Battery Clusters for Onboard Thermal Management

    Xinfan Lin;Hector E Perez;Jason B Siegel;Anna G Stefanopoulou

  • Parameterization and Validation of an Integrated Electro-Thermal Cylindrical LFP Battery Model

    Hector E. Perez;Jason B. Siegel;Xinfan Lin;Anna G. Stefanopoulou

  • Effects of Multistage Coupling and Disk Flexibility on Mistuned Bladed Disk Dynamics

    Ronnie Bladh;Matthew P. Castanier;Christophe Pierre

  • Lyapunov exponents and localization phenomena in multi-coupled nearly periodic systems

    M.P. Castanier;C. Pierre

  • Investigation of the combined effects of intentional and random mistuning on the forced response of bladed disks

    Matthew P. Castanier;Christophe Pierre

  • Design sensitivity analysis for sequential structural–acoustic problems

    Nam H. Kim;Jun Dong;Kyung K. Choi;N. Vlahopoulos

  • Next-Generation Parametric Reduced-Order Models

    Sung Kwon Hong;Bogdan I. Epureanu;Matthew P. Castanier

  • Efficient Nonlinear Vibration Analysis of the Forced Response of Rotating Cracked Blades

    Akira Saito;Matthew P. Castanier;Christophe Pierre;Olivier Poudou

  • Estimation and veering analysis of nonlinear resonant frequencies of cracked plates

    A. Saito;M.P. Castanier;C. Pierre

Frequent Co-Authors

Christophe Pierre
Christophe Pierre Stevens Institute of Technology
Bogdan I. Epureanu
Bogdan I. Epureanu University of Michigan–Ann Arbor
Kira Barton
Kira Barton University of Michigan–Ann Arbor
Anna G. Stefanopoulou
Anna G. Stefanopoulou University of Michigan–Ann Arbor
Jason B. Siegel
Jason B. Siegel University of Michigan–Ann Arbor
Kyung K. Choi
Kyung K. Choi University of Iowa
Nam H. Kim
Nam H. Kim University of Florida
Steven L. Ceccio
Steven L. Ceccio University of Michigan–Ann Arbor
Dennis N. Assanis
Dennis N. Assanis University of Delaware
Zoran Filipi
Zoran Filipi Clemson University

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