World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
7459
World Ranking
5819
National Ranking
371

Andrew J. Sederman 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 Andrew J. Sederman 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: 230 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Andrew J. Sederman 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 Andrew J. Sederman 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: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Andrew J. Sederman is affiliated with the University of Cambridge in the United Kingdom. Their research spans multiple fields, primarily focusing on Physics and Astronomy, Engineering, and Medicine. Within these areas, their work extensively covers Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Computational Mechanics, and Mechanics of Materials.

The scientist's research primarily addresses topics related to NMR spectroscopy and applications, with a strong emphasis on advanced NMR and MRI techniques. Other notable topics include advanced neuroimaging, lattice Boltzmann simulation studies, seismic imaging and inversion techniques, and hydraulic fracturing and reservoir analysis.

Frequent co-authors with whom Sederman has collaborated include Lynn F. Gladden, Mick D. Mantle, Scott V. Elgersma, Constant M. Guédon, and Michael D. Mantle. These collaborations suggest extensive work in interdisciplinary teams, contributing to a broad range of sciences.

Their recent notable papers are:

  • Operando magnetic resonance imaging of product distributions within the pores of catalyst pellets during Fischer-Tropsch synthesis, 2023, Nature Catalysis
  • Molecular Dynamics of Ionic Liquids from Fast-Field Cycling NMR and Molecular Dynamics Simulations, 2022, The Journal of Physical Chemistry B
  • Characterizing Solid-Liquid Interactions in a Mesoporous Catalyst Support Using Variable-Temperature Fast Field Cycling NMR, 2021, The Journal of Physical Chemistry C
  • Joint reconstruction and segmentation of noisy velocity images as an inverse Navier-Stokes problem, 2022, Journal of Fluid Mechanics
  • Magnetic resonance velocity imaging of turbulent gas flow in a packed bed of catalyst support pellets, 2023, Chemical Engineering Journal

Research outputs have appeared frequently in venues such as arXiv (Cornell University), The Journal of Physical Chemistry C, The Journal of Physical Chemistry B, Chemical Engineering Journal, and Analytical Chemistry. This diversity in publication venues underscores a multidisciplinary research portfolio.

Best Publications

  • Determination and Characterization of the Structure of a Pore Space from 3D Volume Images

    Christopher A. Baldwin;Andrew J. Sederman;Michael D. Mantle;Paul Alexander

  • Granular temperature: Comparison of Magnetic Resonance measurements with Discrete Element Model simulations

    Christoph R. Müller;Daniel J. Holland;Andrew J. Sederman;Stuart A. Scott

  • Three-Dimensional Morphology of Iron Oxide Nanoparticles with Reactive Concave Surfaces. A Compressed Sensing-Electron Tomography (CS-ET) Approach

    Zineb Saghi;Daniel J. Holland;Rowan Leary;Andrea Falqui

  • Structure of packed beds probed by Magnetic Resonance Imaging

    A.J Sederman;P Alexander;L.F Gladden

  • Magnetic resonance imaging of liquid flow and pore structure within packed beds

    A.J. Sederman;M.L. Johns;A.S. Bramley;P. Alexander

  • Structure-flow correlations in packed beds

    A.J. Sederman;M.L. Johns;P. Alexander;L.F. Gladden

  • Single- and two-phase flow in fixed-bed reactors: MRI flow visualisation and lattice-Boltzmann simulations

    M.D. Mantle;A.J. Sederman;L.F. Gladden

  • Magnetic resonance imaging as a quantitative probe of gas–liquid distribution and wetting efficiency in trickle-bed reactors

    A.J. Sederman;L.F. Gladden

  • Investigation of Void Fraction Schemes for Use with CFD-DEM Simulations of Fluidized Beds

    Daniel A. Clarke;Andrew J. Sederman;Lynn F. Gladden;Daniel J. Holland

  • Validation of a discrete element model using magnetic resonance measurements

    Christoph R. Müller;Stuart A. Scott;Daniel J. Holland;Belinda C. Clarke

  • Recent advances in Flow MRI

    Lynn F. Gladden;Andrew J. Sederman

  • MRI visualisation of two-phase flow in structured supports and trickle-bed reactors

    L.F. Gladden;M.H.M. Lim;M.D. Mantle;A.J. Sederman

  • Dynamic MRI in chemical process and reaction engineering

    M.D. Mantle;A.J. Sederman

  • Kinetic studies of CO2 methanation over a Ni/γ-Al2O3 catalyst using a batch reactor

    Jin Yang Lim;J McGregor;Andy Sederman;John Dennis

  • MRI technique for measurement of velocity vectors, acceleration, and autocorrelation functions in turbulent flow

    Andrew J Sederman;Mick D Mantle;Craig Buckley;Lynn F Gladden

  • Reducing data acquisition times in phase-encoded velocity imaging using compressed sensing.

    D.J. Holland;D.M. Malioutov;A. Blake;A.J. Sederman

  • Local transitions in flow phenomena through packed beds identified by MRI

    M. L. Johns;A. J. Sederman;A. S. Bramley;L. F. Gladden

  • Magnetic resonance velocity imaging of liquid and gas two-phase flow in packed beds

    M.H. Sankey;D.J. Holland;A.J. Sederman;L.F. Gladden

  • Dynamic MRI visualization of two‐phase flow in a ceramic monolith

    M. D. Mantle;A. J. Sederman;L. F. Gladden;S. Raymahasay

  • Magnetic Resonance Imaging of fluidized beds

    C.R. Müller;D.J. Holland;A.J. Sederman;M.D. Mantle

  • Real-time measurement of bubbling phenomena in a three-dimensional gas-fluidized bed using ultrafast magnetic resonance imaging.

    C. R. Müller;J. F. Davidson;J. S. Dennis;P. S. Fennell

Frequent Co-Authors

Lynn F. Gladden
Lynn F. Gladden University of Cambridge
Michael L. Johns
Michael L. Johns University of Western Australia
John S. Dennis
John S. Dennis University of Cambridge
John F. Davidson
John F. Davidson University of Cambridge
Allan N. Hayhurst
Allan N. Hayhurst University of Cambridge
Branko Bijeljic
Branko Bijeljic Imperial College London
Susan T.L. Harrison
Susan T.L. Harrison University of Cape Town
Andrew Blake
Andrew Blake University of Cambridge
Paul S. Fennell
Paul S. Fennell Imperial College London

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