World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
54
Citations
11742
World Ranking
944
National Ranking
60

Electronics and Electrical Engineering

D-Index
54
Citations
11661
World Ranking
2276
National Ranking
120

Andrew Ball 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 Andrew Ball 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: 525 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Andrew Ball 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 Andrew Ball 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: 54 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Overview

Andrew Ball is affiliated with the University of Huddersfield in the United Kingdom. Their research spans primarily the field of Engineering, with a strong emphasis on Mechanical Engineering, Control and Systems Engineering, and Electrical and Electronic Engineering. They have contributed significantly to several subfields including Automotive Engineering and Civil and Structural Engineering.

The main topics covered in their work include:

  • Machine Fault Diagnosis Techniques
  • Gear and Bearing Dynamics Analysis
  • Fault Detection and Control Systems
  • Advanced machining processes and optimization
  • Advanced Battery Technologies Research
  • Tribology and Lubrication Engineering
  • Engineering Diagnostics and Reliability

Andrew Ball has published extensively in notable venues such as:

  • Mechanical Systems and Signal Processing
  • Sensors
  • Structural Health Monitoring
  • Measurement
  • Electronics

Their recent publications include:

  • "A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles," 2021, Energy Reports
  • "Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis," 2023, Mechanical Systems and Signal Processing
  • "Vibration characteristics and condition monitoring of internal radial clearance within a ball bearing in a gear-shaft-bearing system," 2021, Mechanical Systems and Signal Processing
  • "A review on rapid state of health estimation of lithium-ion batteries in electric vehicles," 2023, Sustainable Energy Technologies and Assessments
  • "A novel method of parameter identification and state of charge estimation for lithium-ion battery energy storage system," 2022, Journal of Energy Storage

Frequent collaborators in their work include Fengshou Gu, Dong Zhen, Zuolu Wang, Yubin Lin, and Baoshan Huang.

Andrew Ball has contributed to book publications with Springer Nature and Springer Nature (Netherlands). Notable titles include Advances in Asset Management and Condition Monitoring (2020) and Proceedings of IncoME-V & CEPE Net-2020 (2021).

Best Publications

  • A review of numerical analysis of friction stir welding

    Xiaocong He;Fengshou Gu;Andrew Ball

  • A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution.

    Naim Baydar;Andrew Ball

  • An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks

    Van Tung Tran;Faisal Althobiani;Andrew Ball

  • A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

    Zuolu Wang;Guojin Feng;Dong Zhen;Fengshou Gu

  • DETECTION OF GEAR FAILURES VIA VIBRATION AND ACOUSTIC SIGNALS USING WAVELET TRANSFORM

    N Baydar;Andrew Ball

  • Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review.

    Xiaoli Tang;Xianghong Wang;Robert Cattley;Fengshou Gu

  • The measurement of instantaneous angular speed

    Yuhua Li;Fengshou Gu;Georgina Harris;Andrew Ball

  • Detecting the crankshaft torsional vibration of diesel engines for combustion related diagnosis

    Peter Charles;Jyoti K. Sinha;Fengshou Gu;Liam Lidstone

  • Numerical simulation and experimental study of a two-stage reciprocating compressor for condition monitoring

    M. Elhaj;Fengshou Gu;Andrew Ball;A. Albarbar

  • Combustion and performance characteristics of CI (compression ignition) engine running with biodiesel

    B. Tesfa;R. Mishra;C. Zhang;F. Gu

  • A STUDY OF THE NOISE FROM DIESEL ENGINES USING THE INDEPENDENT COMPONENT ANALYSIS

    W Li;Fengshou Gu;Andrew Ball;A Y T Leung

  • Water injection effects on the performance and emission characteristics of a CI engine operating with biodiesel

    Belachew Tesfa;Rakesh Mishra;Fengshou Gu;Andrew Ball

  • Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment

    F. Gu;Y. Shao;N. Hu;A. Naid

  • Diesel engine fuel injection monitoring using acoustic measurements and independent component analysis

    A. Albarbar;Fengshou Gu;Andrew Ball

  • The development of an adaptive threshold for model-based fault detection of a nonlinear electro-hydraulic system

    Zhanqun Shi;Fengshou Gu;Barry Lennox;Andrew Ball

  • Modern techniques for condition monitoring of railway vehicle dynamics

    R. W. Ngigi;Crinela Pislaru;Andrew Ball;Fengshou Gu

  • Detection of Gear Deterioration Under Varying Load Conditions by Using the Instantaneous Power Spectrum

    N Baydar;Andrew Ball

  • Gear tooth stiffness reduction measurement using modal analysis and its use in wear fault severity assessment of spur gears

    Isa Yesilyurt;Fengshou Gu;Andrew D. Ball

  • Thermal image enhancement using bi-dimensional empirical mode decomposition in combination with relevance vector machine for rotating machinery fault diagnosis

    Van Tung Tran;Bo Suk Yang;Fengshou Gu;Andrew Ball

  • Modelling acoustic emissions generated by sliding friction

    Yibo Fan;Fengshou Gu;Andrew Ball

  • DETECTION OF INCIPIENT TOOTH DEFECT IN HELICAL GEARS USING MULTIVARIATE STATISTICS

    N. Baydar;Q. Chen;A. Ball;U. Kruger

Frequent Co-Authors

Fengshou Gu
Fengshou Gu University of Huddersfield
Yimin Shao
Yimin Shao Chongqing University
Simon Iwnicki
Simon Iwnicki University of Huddersfield
Uwe Kruger
Uwe Kruger Rensselaer Polytechnic Institute
Fulei Chu
Fulei Chu Tsinghua University
Ning Hu
Ning Hu Hebei University of Technology
Qingbo He
Qingbo He Shanghai Jiao Tong University
Keith Worden
Keith Worden University of Sheffield
Zaigang Chen
Zaigang Chen Southwest Jiaotong University

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