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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
36
Citations
5872
World Ranking
2506
National Ranking
894

Kira Barton 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 Kira Barton 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: 155 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Kira Barton 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 Kira Barton 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: 36 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Overview

Kira Barton is affiliated with the University of Michigan-Ann Arbor in the United States. Their primary field of study is Engineering, with a focus on several subfields including Industrial and Manufacturing Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Biomedical Engineering.

Their research encompasses a range of topics, especially centered around industry and manufacturing systems. Key topics include:

  • Digital Transformation in Industry
  • Flexible and Reconfigurable Manufacturing Systems
  • Iterative Learning Control Systems
  • Manufacturing Process and Optimization
  • Electrohydrodynamics and Fluid Dynamics
  • Marine animal studies overview
  • Advanced Vision and Imaging

Kira Barton's recent published papers include:

  • A Requirements Driven Digital Twin Framework: Specification and Opportunities, 2020, IEEE Access
  • A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems, 2021, IEEE Access
  • Digital Twin-Based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing Systems, 2023, IEEE Transactions on Automation Science and Engineering
  • Incorporating customer personalization preferences in open product architecture design, 2020, Journal of Manufacturing Systems
  • Area-Selective Atomic Layer Deposition Patterned by Electrohydrodynamic Jet Printing for Additive Manufacturing of Functional Materials and Devices, 2020, ACS Nano

Their frequent coauthors are:

  • Dawn M. Tilbury (43 joint publications)
  • K. Alex Shorter (20 joint publications)
  • Maani Ghaffari (15 joint publications)
  • Efe C. Balta (13 joint publications)
  • James Moyne (12 joint publications)

Regarding publication venues, Kira Barton most often publishes in:

  • arXiv (Cornell University) with 15 publications
  • IFAC-PapersOnLine with 14 publications
  • IEEE Transactions on Automation Science and Engineering with 7 publications
  • IEEE Access with 6 publications
  • IEEE Transactions on Control Systems Technology with 5 publications

Best Publications

  • High-resolution electrohydrodynamic jet printing

    Jang Ung Park;Matt Hardy;Seong Jun Kang;Seong Jun Kang;Kira Barton

  • High-speed and drop-on-demand printing with a pulsed electrohydrodynamic jet

    S Mishra;K L Barton;A G Alleyne;P M Ferreira

  • A Cross-Coupled Iterative Learning Control Design for Precision Motion Control

    K.L. Barton;A.G. Alleyne

  • A Norm Optimal Approach to Time-Varying ILC With Application to a Multi-Axis Robotic Testbed

    Kira L Barton;Andrew G Alleyne

  • The impact of ankle-foot orthosis stiffness on gait: A systematic literature review.

    Deema Totah;Meghna Menon;Carlie Jones-Hershinow;Kira Barton

  • Control of high-resolution electrohydrodynamic jet printing

    Kira Barton;Sandipan Mishra;Andrew G Alleyne;Placid Mathew Ferreira

  • A multimaterial electrohydrodynamic jet (E-jet) printing system

    E. Sutanto;K. Shigeta;Y. K. Kim;P. G. Graf

  • A desktop electrohydrodynamic jet printing system

    Kira Barton;Sandipan Mishra;K. Alex Shorter;Andrew Alleyne

  • Real-Time Manufacturing Machine and System Performance Monitoring Using Internet of Things

    Miguel Saez;Francisco P. Maturana;Kira Barton;Dawn M. Tilbury

  • A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems

    Yassine Qamsane;James Moyne;Maxwell Toothman;Ilya Kovalenko

  • Large dynamic range nanopositioning using iterative learning control

    Gaurav Parmar;Kira Barton;Shorya Awtar

  • On Spatial Iterative Learning Control via 2-D Convolution: Stability Analysis and Computational Efficiency

    David J. Hoelzle;Kira L. Barton

  • The model-based product agent: A control oriented architecture for intelligent products in multi-agent manufacturing systems

    Ilya Kovalenko;Dawn Tilbury;Kira Barton

  • A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems

    Yassine Qamsane;Chien-Ying Chen;Efe C. Balta;Bin-Chou Kao

  • Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms

    Felipe Lopez;Miguel Saez;Yuru Shao;Efe C. Balta

  • Incorporating customer personalization preferences in open product architecture design

    Changbai Tan;Haseung Chung;Kira Barton;S. Jack Hu

  • Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems

    Mitchell K. Cobb;Kira Barton;Hosam Fathy;Chris Vermillion

  • A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling

    Efe C. Balta;Dawn M. Tilbury;Kira Barton

  • Manufacturing Choices for Ankle-Foot Orthoses: A Multi-objective Optimization☆

    Deema Totah;Ilya Kovalenko;Miguel Saez;Kira Barton

  • Production as a Service: A Digital Manufacturing Framework for Optimizing Utilization

    Efe C. Balta;Yikai Lin;Kira Barton;Dawn M. Tilbury

  • Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation

    Kira L. Barton;David J. Hoelzle;Andrew G. Alleyne;Amy J. Wagoner Johnson

Frequent Co-Authors

Dawn M. Tilbury
Dawn M. Tilbury University of Michigan–Ann Arbor
Andrew G. Alleyne
Andrew G. Alleyne University of Minnesota
John A. Rogers
John A. Rogers Northwestern University
Placid Mathew Ferreira
Placid Mathew Ferreira University of Illinois at Urbana-Champaign
Matthew P. Castanier
Matthew P. Castanier United States Army Research Laboratory
Z. Morley Mao
Z. Morley Mao University of Michigan–Ann Arbor
S. Jack Hu
S. Jack Hu University of California, Riverside
Colin Ware
Colin Ware University of New Hampshire
Max Shtein
Max Shtein University of Michigan–Ann Arbor
Neil P. Dasgupta
Neil P. Dasgupta University of Michigan–Ann Arbor

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