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Engineering and Technology
UK
2026

D-Index & Metrics

Engineering and Technology

D-Index
117
Citations
53451
World Ranking
62
National Ranking
3

Martin J. Blunt publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Martin J. Blunt sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 733 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Martin J. Blunt D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Martin J. Blunt sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 117 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United Kingdom Leader Award
  • 2025 - Research.com Engineering and Technology in United Kingdom Leader Award
  • 2022 - Research.com Engineering and Technology in United Kingdom Leader Award
  • 2019 - Fellow of the Royal Academy of Engineering (UK)

Overview

Martin J. Blunt is affiliated with Imperial College London in the United Kingdom. Their research spans multiple fields primarily within engineering and environmental science, focusing on subsurface flow and reservoir characterization.

The main research fields include:

  • Engineering
  • Environmental Science

Subfields of study cover:

  • Ocean Engineering
  • Mechanics of Materials
  • Environmental Engineering
  • Mechanical Engineering
  • Computational Mechanics

Key research topics for Martin J. Blunt include:

  • Enhanced Oil Recovery Techniques
  • Hydrocarbon exploration and reservoir analysis
  • Hydraulic Fracturing and Reservoir Analysis
  • CO2 Sequestration and Geologic Interactions
  • Groundwater flow and contamination studies
  • Lattice Boltzmann Simulation Studies
  • NMR spectroscopy and applications

Martin J. Blunt has published extensively in several scientific venues, with frequent contributions to:

  • Transport in Porous Media
  • Advances in Water Resources
  • Water Resources Research
  • SSRN Electronic Journal
  • Fuel

Recent significant papers authored or co-authored by Martin J. Blunt include:

  • Advances in carbon capture, utilization and storage (2020, Applied Energy)
  • Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media (2021, Scientific Reports)
  • Deep learning in pore scale imaging and modeling (2021, Earth-Science Reviews)
  • Review of underground hydrogen storage: Concepts and challenges (2022, ADVANCES IN GEO-ENERGY RESEARCH)
  • Pore-scale X-ray imaging with measurement of relative permeability, capillary pressure and oil recovery in a mixed-wet micro-porous carbonate reservoir rock (2020, Fuel)

Frequent co-authors in their research collaborations include:

  • Branko Bijeljic
  • Sajjad Foroughi
  • Qingyang Lin
  • Ali Q. Raeini
  • Yihuai Zhang

Martin J. Blunt was recognized as a Fellow of the Royal Academy of Engineering in the United Kingdom in 2019.

Best Publications

  • Carbon capture and storage update

    Matthew E. Boot-Handford;Juan C. Abanades;Edward J. Anthony;Martin J. Blunt

  • Pore-scale imaging and modelling

    Martin J. Blunt;Branko Bijeljic;Hu Dong;Oussama Gharbi

  • Tenth SPE Comparative Solution Project: A Comparison of Upscaling Techniques

    Christie;M.J. Blunt

  • Pore-network extraction from micro-computerized-tomography images

    Hu Dong;Martin J. Blunt

  • Tenth SPE Comparative Solution Project: a comparison of upscaling techniques

    Michael Andrew Christie;M J Blunt

  • Flow in porous media — pore-network models and multiphase flow

    Martin J. Blunt

  • Impact of relative permeability hysteresis on geological CO2 storage

    R. Juanes;E. J. Spiteri;F. M. Orr;M. J. Blunt

  • Detailed physics, predictive capabilities and macroscopic consequences for pore-network models of multiphase flow.

    Martin J. Blunt;Matthew D. Jackson;Mohammad Piri;Per H. Valvatne

  • Predictive pore-scale modeling of two-phase flow in mixed wet media

    Per H. Valvatne;Per H. Valvatne;Martin J. Blunt

  • Prediction of relative permeability in simple porous media.

    Steven Bryant;Martin Blunt

  • Modelling two-phase flow in porous media at the pore scale using the volume-of-fluid method

    Ali Q. Raeini;Martin J. Blunt;Branko Bijeljic

  • Capillary trapping for geologic carbon dioxide storage - From pore scale physics to field scale implications

    Samuel Krevor;Martin J. Blunt;Sally M. Benson;Christopher H. Pentland

  • Carbon dioxide in enhanced oil recovery

    Martin Blunt;F.John Fayers;Franklin M. Orr

  • Reconstruction of three-dimensional porous media using generative adversarial neural networks.

    Lukas Mosser;Olivier Dubrule;Martin J. Blunt

  • Prediction of permeability for porous media reconstructed using multiple-point statistics

    Hiroshi Okabe;Martin J. Blunt

  • Computations of Absolute Permeability on Micro-CT Images

    Peyman Mostaghimi;Martin J. Blunt;Branko Bijeljic

  • Multiphase Flow in Permeable Media: A Pore-Scale Perspective

    Martin J. Blunt

  • Multiphase Flow in Permeable Media

    Unknown

  • Pore-scale contact angle measurements at reservoir conditions using X-ray microtomography

    Matthew Andrew;Branko Bijeljic;Martin J. Blunt

  • Pore space reconstruction using multiple-point statistics

    Hiroshi Okabe;Martin J. Blunt

  • Three-dimensional mixed-wet random pore-scale network modeling of two- and three-phase flow in porous media. I. Model description

    Mohammad Piri;Martin J. Blunt

  • A 3D Field-Scale Streamline-Based Reservoir Simulator

    R.P. Batycky;M.J. Blunt;M.R. Thiele

  • Relative permeabilities from two- and three-dimensional pore-scale network modelling

    Martin Blunt;Peter King

Frequent Co-Authors

Branko Bijeljic
Branko Bijeljic Imperial College London
Stefan Iglauer
Stefan Iglauer Edith Cowan University
Samuel Krevor
Samuel Krevor Imperial College London
Franklin M. Orr
Franklin M. Orr Stanford University
Peyman Mostaghimi
Peyman Mostaghimi University of New South Wales
Steffen Berg
Steffen Berg Shell (Netherlands)
Mohammad Piri
Mohammad Piri University of Wyoming
Matthew D. Jackson
Matthew D. Jackson Imperial College London
David A. DiCarlo
David A. DiCarlo The University of Texas at Austin

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