World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
33
Citations
5634
World Ranking
2976
National Ranking
1015

Christopher Niezrecki 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 Christopher Niezrecki 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: 209 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Christopher Niezrecki 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 Christopher Niezrecki 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

Christopher Niezrecki is affiliated with the University of Massachusetts Lowell in the United States. Their research primarily spans the fields of engineering and computer science, with focused subfields including civil and structural engineering, computer vision and pattern recognition, electrical and electronic engineering, mechanics of materials, and biomedical engineering.

Their work covers a variety of topics, notably:

  • Structural health monitoring techniques
  • Optical measurement and interference techniques
  • Advanced fiber optic sensors
  • 3D surveying and cultural heritage
  • Thermography and photoacoustic techniques
  • Hybrid renewable energy systems
  • Acoustic wave phenomena research

Christopher Niezrecki has contributed to numerous scientific articles published in established venues. Frequent publication outlets include:

  • Mechanical Systems and Signal Processing
  • IEEE Sensors Journal
  • Measurement
  • Journal of Building Engineering
  • Frontiers in Energy Research

Recent papers authored or co-authored by Niezrecki include:

  • "An adaptive wavelet packet denoising algorithm for enhanced active acoustic damage detection from wind turbine blades" (2020, Mechanical Systems and Signal Processing)
  • "An experimental investigation into passive acoustic damage detection for structural health monitoring of wind turbine blades" (2020, Structural Health Monitoring)
  • "Multicamera measurement system to evaluate the dynamic response of utility-scale wind turbine blades" (2020, Wind Energy)
  • "Quantification of phase-based magnified motion using image enhancement and optical flow techniques" (2021, Measurement)
  • "Development of a Camera Localization System for Three-Dimensional Digital Image Correlation Camera Triangulation" (2020, IEEE Sensors Journal)

Collaboration has been a notable part of their work, with frequent co-authors including:

  • Nicholas A. Valente
  • Zhu Mao
  • Alessandro Sabato
  • Peter Avitabile
  • Xinfang Jin

Best Publications

  • Photogrammetry and optical methods in structural dynamics – A review

    Javad Baqersad;Peyman Poozesh;Christopher Niezrecki;Peter Avitabile

  • 3D digital image correlation methods for full-field vibration measurement

    Mark N. Helfrick;Christopher Niezrecki;Peter Avitabile;Timothy Schmidt

  • Piezoelectric Actuation: State of the Art

    Christopher Niezrecki;Diann Brei;Sivakumar Balakrishnan;Andrew Moskalik

  • Wireless MEMS-Based Accelerometer Sensor Boards for Structural Vibration Monitoring: A Review

    Alessandro Sabato;Christopher Niezrecki;Giancarlo Fortino

  • Vibration-based damage detection in wind turbine blades using Phase-based Motion Estimation and motion magnification

    Aral Sarrafi;Zhu Mao;Christopher Niezrecki;Peyman Poozesh

  • Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges

    Daniel Reagan;Alessandro Sabato;Christopher Niezrecki

  • Large-area photogrammetry based testing of wind turbine blades

    Peyman Poozesh;Javad Baqersad;Christopher Niezrecki;Peter Avitabile

  • Feasibility of extracting operating shapes using phase-based motion magnification technique and stereo-photogrammetry

    Peyman Poozesh;Aral Sarrafi;Zhu Mao;Peter Avitabile

  • Comparison of FRF measurements and mode shapes determined using optically image based, laser, and accelerometer measurements

    Christopher Warren;Christopher Niezrecki;Peter Avitabile;Pawan Pingle

  • Extracting full-field dynamic strain on a wind turbine rotor subjected to arbitrary excitations using 3D point tracking and a modal expansion technique

    Javad Baqersad;Christopher Niezrecki;Peter Avitabile

  • Full-field dynamic strain prediction on a wind turbine using displacements of optical targets measured by stereophotogrammetry

    Javad Baqersad;Christopher Niezrecki;Peter Avitabile

  • An adaptive wavelet packet denoising algorithm for enhanced active acoustic damage detection from wind turbine blades

    Christopher Beale;Christopher Niezrecki;Murat Inalpolat

  • Damage detection and full surface characterization of a wind turbine blade using three-dimensional digital image correlation

    Bruce LeBlanc;Christopher Niezrecki;Peter Avitabile;Julie Chen

  • Feasibility of digital image correlation for railroad tie inspection and ballast support assessment

    Alessandro Sabato;Christopher Niezrecki

  • Optical Non-contacting Vibration Measurement of Rotating Turbine Blades II

    Chris Warren;Chris Niezrecki;Peter Avitabile

  • Numerical modeling and design of inflatable structures—application to open-ocean-aquaculture cages

    Jeffrey D. Suhey;Nam H. Kim;Christopher Niezrecki

  • Inspection and monitoring of wind turbine blade-embedded wave defects during fatigue testing:

    Christopher Niezrecki;Peter Avitabile;Julie Chen;James Sherwood

  • Dynamic characteristics of a wind turbine blade using 3D digital image correlation

    Javad Baqersad;Jennifer Carr;Troy Lundstrom;Christopher Niezrecki

  • An experimental investigation into passive acoustic damage detection for structural health monitoring of wind turbine blades

    Jaclyn Solimine;Christopher Niezrecki;Murat Inalpolat

  • Structural health monitoring of bridges using digital image correlation

    Christopher Nonis;Christopher Niezrecki;Tzu-Yang Yu;Shafique Ahmed

  • Structural health monitoring of wind turbine blades using acoustic microphone array

    Peyman Poozesh;Kai Aizawa;Christopher Niezrecki;Javad Baqersad

  • Vibration prediction of thin-walled composite I-beams using scaled models

    Mohamad Eydani Asl;Christopher Niezrecki;James Sherwood;Peter Avitabile

  • Full-Field Dynamic Strain on Wind Turbine Blade Using Digital Image Correlation Techniques and Limited Sets of Measured Data From Photogrammetric Targets: Dynamic Strain on Wind Turbine Blade

    J. Carr;J. Baqersad;C. Niezrecki;P. Avitabile

Frequent Co-Authors

Nam H. Kim
Nam H. Kim University of Florida
Rebecca Jane Barthelmie
Rebecca Jane Barthelmie Cornell University
Louis N. Cattafesta
Louis N. Cattafesta Illinois Institute of Technology
Giancarlo Fortino
Giancarlo Fortino University of Calabria
Holly A. Yanco
Holly A. Yanco University of Massachusetts Lowell
Björn Birgisson
Björn Birgisson Texas A&M University
Jerome F. Hajjar
Jerome F. Hajjar Northeastern University
George A. Lesieutre
George A. Lesieutre Pennsylvania State University
Farhad Ansari
Farhad Ansari University of Illinois at Chicago
Matthew A. Lackner
Matthew A. Lackner University of Massachusetts Amherst

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