World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
56
Citations
10423
World Ranking
864
National Ranking
49

Christopher C. Pain 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 C. Pain 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: 339 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Christopher C. Pain 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 C. Pain 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: 56 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Overview

Christopher C. Pain is affiliated with Imperial College London in the United Kingdom. Their research spans multiple areas within engineering and environmental science, with a strong focus on computational mechanics and related fields.

The primary fields of study for Christopher C. Pain include:

  • Engineering
  • Environmental Science

The subfields in which they have made contributions comprise:

  • Computational Mechanics
  • Statistical and Nonlinear Physics
  • Environmental Engineering
  • Atmospheric Science
  • Aerospace Engineering

The main topics covered in their work incorporate:

  • Model Reduction and Neural Networks
  • Meteorological Phenomena and Simulations
  • Lattice Boltzmann Simulation Studies
  • Air Quality and Health Impacts
  • Reservoir Engineering and Simulation Methods
  • Advanced Numerical Methods in Computational Mathematics
  • Wind and Air Flow Studies

Christopher C. Pain has published frequently in a number of scientific venues, notable among these are:

  • arXiv (Cornell University)
  • Physics of Fluids
  • SSRN Electronic Journal
  • Computer Methods in Applied Mechanics and Engineering
  • The Science of The Total Environment

Some of their recent published papers include:

  • "Long lead-time daily and monthly streamflow forecasting using machine learning methods," 2020, Journal of Hydrology
  • "Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network," 2020, Computer Methods in Applied Mechanics and Engineering
  • "An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments," 2020, The Science of The Total Environment
  • "The ventilation of buildings and other mitigating measures for COVID-19: a focus on wintertime," 2021, Bristol Research (University of Bristol)
  • "Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models," 2022, Journal of Scientific Computing

Frequent collaborators in their research include:

  • Claire E. Heaney
  • Pablo Salinas
  • Rossella Arcucci
  • F. Fang
  • Yike Guo

Best Publications

  • Non-linear regimes of fluid flow in rock fractures

    Robert W Zimmerman;Azzan Al-Yaarubi;Chris C Pain;Carlos A Grattoni

  • Tetrahedral mesh optimisation and adaptivity for steady-state and transient finite element calculations

    C.C. Pain;A.P. Umpleby;C.R.E. de Oliveira;A.J.H. Goddard

  • Verification and validation of a coarse grain model of the DEM in a bubbling fluidized bed

    Mikio Sakai;Minami Abe;Yusuke Shigeto;Shin Mizutani

  • Model identification of reduced order fluid dynamics systems using deep learning

    Z. Wang;Dunhui Xiao;F. Fang;R. Govindan

  • Three-dimensional unstructured mesh ocean modelling

    C.C. Pain;M.D. Piggott;A.J.H. Goddard;F. Fang

  • A new computational framework for multi-scale ocean modelling based on adapting unstructured meshes†

    M. D. Piggott;G. J. Gorman;C. C. Pain;P. A. Allison

  • Non-intrusive reduced-order modelling of the Navier-Stokes equations based on RBF interpolation

    D. Xiao;D. Xiao;F. Fang;C. Pain;G. Hu

  • A study of bubbling and slugging fluidised beds using the two-fluid granular temperature model

    C.C. Pain;S. Mansoorzadeh;C.R.E. de Oliveira

  • Non-intrusive reduced order modelling of the Navier-Stokes equations

    Dunhui Xiao;Dunhui Xiao;F. Fang;A.G. Buchan;C.C. Pain

  • Study on a large-scale discrete element model for fine particles in a fluidized bed

    Mikio Sakai;Hiroyuki Takahashi;Christopher C. Pain;John-Paul Latham

  • How tall buildings affect turbulent air flows and dispersion of pollution within a neighbourhood.

    Elsa Aristodemou;Elsa Aristodemou;Luz Maria Boganegra;Laetitia Mottet;Dimitrios Pavlidis

  • A reduced order model for turbulent flows in the urban environment using machine learning

    Dunhui Xiao;Dunhui Xiao;C.E. Heaney;L. Mottet;L. Mottet;F. Fang

  • A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications

    D. Xiao;F. Fang;C.C. Pain;I.M. Navon

  • A Simple Model for Deviations from the Cubic Law for a Fracture Undergoing Dilation or Closure

    Sourith Sisavath;Azzan Al-Yaarubi;Chris C. Pain;Robert W. Zimmerman

  • Non-intrusive reduced order modelling of fluid–structure interactions

    D. Xiao;D. Xiao;P. Yang;F. Fang;J. Xiang

  • Data-driven reduced order model with temporal convolutional neural network

    Pin Wu;Pin Wu;Junwu Sun;Xuting Chang;Wenjie Zhang

  • Anisotropic mesh adaptivity for multi-scale ocean modelling.

    M. D. Piggott;P. E. Farrell;C. R. Wilson;G. J. Gorman

  • Fluid flow monitoring in oil fields using downhole measurements of electrokinetic potential

    Jon H. Saunders;Matthew D. Jackson;Christopher C. Pain

  • Reservoir Modeling for Flow Simulation by Use of Surfaces, Adaptive Unstructured Meshes, and an Overlapping-Control-Volume Finite-Element Method

    Matthew D. Jackson;James R. Percival;Peyman Mostaghimi;Brendan Tollit

  • A mixed discontinuous/continuous finite element pair for shallow-water ocean modelling

    Colin J. Cotter;David A. Ham;Christopher C. Pain

  • Anisotropic resistivity inversion

    Christopher C Pain;Jörg V Herwanger;Jonathan H Saunders;Michael H Worthington

  • Non-linear Petrov–Galerkin methods for reduced order modelling of the Navier–Stokes equations using a mixed finite element pair

    D. Xiao;D. Xiao;F. Fang;J. Du;C. C. Pain

Frequent Co-Authors

Matthew D. Jackson
Matthew D. Jackson Imperial College London
Omar Matar
Omar Matar Imperial College London
I. M. Navon
I. M. Navon Florida State University
Yike Guo
Yike Guo Hong Kong Baptist University
Peter A. Allison
Peter A. Allison Imperial College London
Peyman Mostaghimi
Peyman Mostaghimi University of New South Wales
Gary J. Hampson
Gary J. Hampson Imperial College London
Martin J. Blunt
Martin J. Blunt Imperial College London
Alan Robins
Alan Robins University of Surrey
Paul Linden
Paul Linden University of Cambridge

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students exploring Mechanical and Aerospace Engineering, considering related fields can broaden career opportunities. Online degree programs in areas such as speech pathology offer flexible pathways for those interested in diversifying their skill set. For instance, prospective students often seek out the easiest SLP programs to get into to balance rigorous engineering studies with new certifications.

Cost is another important factor when selecting an online degree. Understanding the speech pathology degree online cost helps students budget effectively while pursuing complementary qualifications. Many engineering students benefit from programs designed specifically for veterans, leveraging military education benefits. Those interested should explore speech pathology degree online for veterans options to maximize support and resources.

Time-efficient programs are also gaining popularity. Accelerated courses like the best 5 year speech pathology programs allow students to earn dual qualifications faster, enhancing career readiness in interdisciplinary fields. Exploring these related online degrees can complement a strong foundation in engineering, opening doors to innovative roles in technology, healthcare, and beyond.

Best Scientists Citing Christopher C. Pain

Trending Scientists

Recently Published Articles