World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
9604
World Ranking
4082
National Ranking
271

Mark Cross 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 Mark Cross 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: 324 publications — 80th percentile

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

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

Mark Cross 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 Mark Cross 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: 50 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Mark Cross is affiliated with Swansea University in the United Kingdom. Their research focuses primarily on the field of Medicine, with significant specialization in Radiology, Nuclear Medicine and Imaging, Epidemiology, Cognitive Neuroscience, and Radiation. Their work addresses several main topics including Ophthalmology and Visual Impairment Studies, Corneal Surgery and Disorders, Visual Perception and Processing Mechanisms, Advanced Radiotherapy Techniques, and Advances in Oncology and Radiotherapy.

Recent publications by Mark Cross demonstrate contributions to multiple areas within medical research. These include:

  • Extended optical treatment versus early patching with an intensive patching regimen in children with amblyopia in Europe (EuPatch): a multicentre, randomised controlled trial, 2024, The Lancet
  • 4615 A fast Monte Carlo Algorithm optimized for dose monitoring in adaptive radiotherapy, 2025, Radiotherapy and Oncology
  • Optimizing Information and Presentation for Clinical Decision-Making in Adaptive Radiotherapy: A Multidisciplinary Survey, 2025, International Journal of Radiation Oncology*Biology*Physics

Mark Cross frequently collaborates with several researchers, including:

  • Bulent Aydogan
  • Erik Pearson
  • C. Stepaniak
  • D. Bullock
  • Frank A. Proudlock

The main venues of publication for Cross's work include:

  • The Lancet
  • Radiotherapy and Oncology
  • International Journal of Radiation Oncology*Biology*Physics

The research of Mark Cross requires integration of clinical and technical approaches, particularly evident in the adaptive radiotherapy studies which aim to improve dose monitoring and clinical decision-making. Their involvement with cognitive neuroscience and epidemiology adds an interdisciplinary dimension to their work within medical sciences.

Best Publications

  • An enthalpy method for convection/diffusion phase change

    Vaughan R Voller;M. Cross;N. C. Markatos

  • Accurate solutions of moving boundary problems using the enthalpy method

    V. Voller;M. Cross

  • Does an Incremental Filling Technique Reduce Polymerization Shrinkage Stresses

    A. Versluis;W.H. Douglas;M. Cross;R.L. Sakaguchi

  • Parallel Dynamic Graph Partitioning for Adaptive Unstructured Meshes

    C. Walshaw;M. Cross;M.G. Everett

  • Mesh Partitioning: A Multilevel Balancing and Refinement Algorithm

    C. Walshaw;M. Cross

  • A Combined Evolutionary Search and Multilevel Optimisation Approach to Graph-Partitioning

    A. J. Soper;C. Walshaw;M. Cross

  • The recovery mechanism of platinum group metals from catalytic converters in spent automotive exhaust systems

    M Benson;C.R Bennett;J.E Harry;M.K Patel

  • A finite volume procedure to solve elastic solid mechanics problems in three dimensions on an unstructured mesh

    C. Bailey;M. Cross

  • Parallel Optimisation Algorithms for Multilevel Mesh Partitioning

    C. Walshaw;M. Cross

  • A multi-scale atomistic-continuum modelling of crack propagation in a two-dimensional macroscopic plate

    H Rafii-Tabar;L Hua;M Cross

  • Dynamic fluid–structure interaction using finite volume unstructured mesh procedures

    Avril Slone;Koulis Pericleous;Christopher Bailey;Mark Cross

  • A control volume procedure for solving the elastic stress-strain equations on an unstructured mesh

    Y.D. Fryer;C. Bailey;M. Cross;C.-H. Lai

  • Dynamic solid mechanics using finite volume methods

    A.K. Slone;C. Bailey;M. Cross

  • An explicit numerical method to

    Vaughan R Voller;M. Cross

  • Biophysical stress analysis of restored teeth: experimental strain measurement

    D. L. Morin;William H Douglas;M. Cross;Ralph DeLong

  • Comparison of finite element and finite volume methods application in geometrically nonlinear stress analysis

    N.A. Fallah;C. Bailey;M. Cross;G.A. Taylor

  • Multilevel mesh partitioning for heterogeneous communication networks

    Christopher Walshaw;Mark Cross

  • A Localized Algorithm for Optimizing Unstructured Mesh Partitions

    Chris H. Walshaw;Mark Cross;Martin G. Everett

  • Solution of the elastic/visco-plastic constitutive equations: A finite volume approach

    G.A. Taylor;C. Bailey;M. Cross

  • Independent movement of cusps during occlusal loading

    R. L. Sakaguchi;E. W. Brust;M. Cross;Ralph DeLong

  • Computer aided parallelisation tools (CAPTools)—conceptual overview and performance on the parallelisation of structured mesh codes

    C. S. Ierotheou;S. P. Johnson;M. Cross;P. F. Leggett

Frequent Co-Authors

Vaughan R Voller
Vaughan R Voller University of Minnesota
N.C. Markatos
N.C. Markatos National Technical University of Athens
William H. Douglas
William H. Douglas University of Minnesota
Karl A. Smith
Karl A. Smith University of Minnesota
Roger Alexander Falconer
Roger Alexander Falconer Cardiff University
BinLiang Lin
BinLiang Lin Tsinghua University

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