World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
11581
World Ranking
3371
National Ranking
139

Ian D. Gates 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 Ian D. Gates 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: 325 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.

Ian D. Gates 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 Ian D. Gates 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: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Ian D. Gates is affiliated with the University of Calgary in Canada. Their research spans multiple areas within engineering and materials science, with a particular focus on ocean engineering, materials chemistry, renewable energy, and sustainability. Other dimensions of their work include mechanical engineering and electrical and electronic engineering.

The scientist's main research topics cover enhanced oil recovery techniques, hydraulic fracturing and reservoir analysis, reservoir engineering and simulation methods, advanced photocatalysis techniques, catalytic processes in materials science, electrocatalysts for energy conversion, and hydrocarbon exploration and reservoir analysis.

Ian D. Gates has contributed to various recent papers, including:

  • Electrochemical ammonia synthesis via nitrate reduction on Fe single atom catalyst, 2021, Nature Communications
  • Can sustainable ammonia synthesis pathways compete with fossil-fuel based Haber-Bosch processes?, 2021, Energy & Environmental Science
  • Orbital graph convolutional neural network for material property prediction, 2020, Physical Review Materials
  • Rational Design of Coordination Bond Connected Metal Organic Frameworks/MXene Hybrids for Efficient Solar Water Splitting, 2022, Advanced Functional Materials
  • Construction of transition metal-decorated boron doped twin-graphene for hydrogen storage: A theoretical prediction, 2021, Fuel

The scholar frequently publishes in the following venues:

  • Fuel
  • Journal of Petroleum Science and Engineering
  • Physics of Fluids
  • Applied Surface Science
  • Chemical Engineering Journal

In collaboration, Ian D. Gates has worked extensively with colleagues such as Chongchong Wu, Weijie Yang, Zhengyang Gao, Jingyi Wang, and Jinguang Hu.

Best Publications

  • Electrochemical ammonia synthesis via nitrate reduction on Fe single atom catalyst.

    Zhen-Yu Wu;Mohammadreza Karamad;Xue Yong;Qizheng Huang

  • Can sustainable ammonia synthesis pathways compete with fossil-fuel based Haber–Bosch processes?

    Miao Wang;Mohd A. Khan;Imtinan Mohsin;Joshua Wicks

  • A support vector machine algorithm to classify lithofacies and model permeability in heterogeneous reservoirs

    A. Al-Anazi;I.D. Gates

  • The Origin, Prediction and Impact of Oil Viscosity Heterogeneity on the Production Characteristics of Tar Sand and Heavy Oil Reservoirs

    S.R. Larter;J. Adams;I.D. Gates;B. Bennett

  • Support vector regression for porosity prediction in a heterogeneous reservoir: A comparative study

    A. F. Al-Anazi;I. D. Gates

  • Support vector regression to predict porosity and permeability: Effect of sample size

    A. F. Al-Anazi;I. D. Gates

  • Energy efficiency and emissions intensity of SAGD

    Ian D. Gates;Stephen R. Larter

  • Optimization of Steam-Assisted Gravity Drainage in McMurray Reservoir

    I.D. Gates;N. Chakrabarty

  • Steam Injection Strategy and Energetics of Steam-Assisted Gravity Drainage

    Ian Donald Gates;Joseph Kenny;Ivan Lazaro Hernandez-Hdez;Gary L. Bunio

  • Mass Transfer Limitations in Embryoid Bodies during Human Embryonic Stem Cell Differentiation

    Allison P. Van Winkle;Ian D. Gates;Michael S. Kallos

  • Thermal recovery strategies for thin heavy oil reservoirs

    David W. Zhao;Jacky Wang;Ian D. Gates

  • Rational Design of Coordination Bond Connected Metal Organic Frameworks/MXene Hybrids for Efficient Solar Water Splitting

    Unknown

  • A review of pyrolysis, aquathermolysis, and oxidation of Athabasca bitumen

    Punitkumar R. Kapadia;Michael S. Kallos;Ian D. Gates

  • Impact of steam trap control on performance of steam-assisted gravity drainage

    Ian D. Gates;Christopher Leskiw

  • Oil phase viscosity behaviour in Expanding-Solvent Steam-Assisted Gravity Drainage

    Ian D. Gates

  • Orbital graph convolutional neural network for material property prediction

    Mohammadreza Karamad;Mohammadreza Karamad;Rishikesh Magar;Yuting Shi;Samira Siahrostami

  • Design of the Steam and Solvent Injection Strategy in Expanding Solvent Steam-Assisted Gravity Drainage

    I.D. Gates;N. Chakrabarty

  • On the Capability of Support Vector Machines to Classify Lithology from Well Logs

    A. Al-Anazi;I. D. Gates

  • A Sulfur‐Tolerant MOF‐Based Single‐Atom Fe Catalyst for Efficient Oxidation of NO and Hg0

    Unknown

  • Potential for hydrogen generation from in situ combustion of Athabasca bitumen

    Punitkumar R. Kapadia;Michael S. Kallos;Ian D. Gates

  • Convection at the Edge of a Steam-Assisted-Gravity-Drainage Steam Chamber

    Jyotsna Sharma;Ian D. Gates

  • Solvent-aided Steam-Assisted Gravity Drainage in thin oil sand reservoirs

    Ian D. Gates

  • Combustion Kinetics of Athabasca Bitumen from 1D Combustion Tube Experiments

    Xiaomeng Yang;Ian D. Gates

  • Multiphase flow at the edge of a steam chamber

    Jyotsna Sharma;Ian D. Gates

Frequent Co-Authors

Brij B. Maini
Brij B. Maini University of Calgary
Steve Larter
Steve Larter University of Calgary
Stephen M. Hubbard
Stephen M. Hubbard University of Calgary
Xun-Lei Ding
Xun-Lei Ding North China Electric Power University
Lloyd R. Snowdon
Lloyd R. Snowdon University of Calgary
Samira Siahrostami
Samira Siahrostami Simon Fraser University
Nader Mahinpey
Nader Mahinpey University of Calgary
Ian M. Head
Ian M. Head Newcastle University
Haiping Huang
Haiping Huang University of Calgary
David W. Eaton
David W. Eaton University of Calgary

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