World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
75
Citations
19776
World Ranking
752
National Ranking
48

Markus Kraft 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 Markus Kraft sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 386 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Markus Kraft 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 Markus Kraft sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 75 D-Index — 93rd percentile

93% 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

  • 2020 - Fellow of the Combustion Institute for outstanding and influential research in soot chemistry and computational modelling of engine combustion

Overview

Markus Kraft is affiliated with the University of Cambridge in the United Kingdom. Their research primarily focuses on engineering, with significant contributions to materials chemistry, artificial intelligence, fluid flow and transfer processes, renewable energy, sustainability, the environment, and electrical and electronic engineering.

The scientist's work covers multiple interdisciplinary fields and topics, including advanced combustion engine technologies, catalytic processes in materials science, semantic web and ontologies, vehicle emissions and performance, atmospheric chemistry and aerosols, scientific computing and data management, and integrated energy systems optimization.

Markus Kraft has published in several frequent venues, contributing notably to the following journals and platforms:

  • SSRN Electronic Journal
  • Data-Centric Engineering
  • Proceedings of the Combustion Institute
  • Apollo (University of Cambridge)
  • Applied Energy

Among the recent papers attributed to Markus Kraft are:

  • Soot inception: Carbonaceous nanoparticle formation in flames, 2021, Progress in Energy and Combustion Science
  • The impact of intelligent cyber-physical systems on the decarbonization of energy, 2020, Energy & Environmental Science
  • Universal Digital Twin - A Dynamic Knowledge Graph, 2021, Data-Centric Engineering
  • Isolated Ni single atoms in nitrogen doped ultrathin porous carbon templated from porous g-C3N4 for high-performance CO2 reduction, 2020, Nano Energy
  • Wetting-regulated gas-involving (photo)electrocatalysis: biomimetics in energy conversion, 2021, Chemical Society Reviews

Frequent co-authors in their research include:

  • Jethro Akroyd
  • Sebastian Mosbach
  • Jiaru Bai
  • Feroz Farazi
  • Laura Pascazio

Markus Kraft's contributions have been recognized through the award of Fellow of the Combustion Institute in 2020 for outstanding and influential research in soot chemistry and computational modelling of engine combustion.

Best Publications

  • Blockchain technology in the chemical industry: Machine-to-machine electricity market

    Janusz J. Sikorski;Joy Haughton;Markus Kraft;Markus Kraft

  • Nickel Nanoparticles Encapsulated in Few-Layer Nitrogen-Doped Graphene Derived from Metal-Organic Frameworks as Efficient Bifunctional Electrocatalysts for Overall Water Splitting.

    You Xu;You Xu;Wenguang Tu;Bowei Zhang;Shengming Yin

  • Metal-free carbonaceous electrocatalysts and photocatalysts for water splitting

    You Xu;You Xu;Markus Kraft;Markus Kraft;Markus Kraft;Rong Xu;Rong Xu

  • Unique P ? Co ? N Surface Bonding States Constructed on g-C3N4 Nanosheets for Drastically Enhanced Photocatalytic Activity of H2 Evolution

    Chunmei Li;Chunmei Li;Chunmei Li;Yonghua Du;Danping Wang;Shengming Yin

  • Investigating the Role of Tunable Nitrogen Vacancies in Graphitic Carbon Nitride Nanosheets for Efficient Visible-Light-Driven H2 Evolution and CO2 Reduction

    Wenguang Tu;You Xu;Jiajia Wang;Bowei Zhang

  • Incorporating seller/buyer reputation-based system in blockchain-enabled emission trading application

    Khamila Nurul Khaqqi;Janusz J. Sikorski;Kunn Hadinoto;Markus Kraft;Markus Kraft

  • Design of computer experiments: A review

    Sushant S. Garud;Iftekhar A. Karimi;Markus Kraft;Markus Kraft

  • Measurement and numerical simulation of soot particle size distribution functions in a laminar premixed ethylene-oxygen-argon flame

    Bin Zhao;Zhiwei Yang;Murray V. Johnston;Hai Wang

  • Mapping surrogate gasoline compositions into RON/MON space

    Neal Morgan;Andrew Smallbone;Amit Bhave;Markus Kraft

  • A stochastic approach to calculate the particle size distribution function of soot particles in laminar premixed flames

    M Balthasar;M Kraft

  • A Highly Efficient Oxygen Evolution Catalyst Consisting of Interconnected Nickel-Iron-Layered Double Hydroxide and Carbon Nanodomains.

    Shengming Yin;Wenguang Tu;Yuan Sheng;Yuan Sheng;Yonghua Du

  • Soot inception: Carbonaceous nanoparticle formation in flames

    Jacob W. Martin;Maurin Salamanca;Markus Kraft;Markus Kraft

  • A quantitative study of the clustering of polycyclic aromatic hydrocarbons at high temperatures

    Tim S. Totton;Alston J. Misquitta;Markus Kraft

  • Research advances towards large-scale solar hydrogen production from water

    Guanyu Liu;Yuan Sheng;Joel W. Ager;Markus Kraft;Markus Kraft

  • Numerical simulation and sensitivity analysis of detailed soot particle size distribution in laminar premixed ethylene flames

    Jasdeep Singh;Robert I.A. Patterson;Markus Kraft;Hai Wang

  • HRTEM evaluation of soot particles produced by the non-premixed combustion of liquid fuels

    Maria L. Botero;Dongping Chen;Silvia González-Calera;David Jefferson

  • Investigation of combustion emissions in a homogeneous charge compression injection engine: Measurements and a new computational model

    Markus Kraft;Peter Maigaard;Fabian Mauss;Magnus Christensen

  • The impact of intelligent cyber-physical systems on the decarbonization of energy

    Oliver Inderwildi;Chuan Zhang;Xiaonan Wang;Markus Kraft;Markus Kraft

  • Towards a detailed soot model for internal combustion engines

    Sebastian Mosbach;Matthew S. Celnik;Abhijeet Raj;Markus Kraft

  • A study on the coagulation of polycyclic aromatic hydrocarbon clusters to determine their collision efficiency

    Abhijeet Raj;Markus Sander;Vinod Janardhanan;Markus Kraft

  • A new model for the drying of droplets containing suspended solids

    C.S. Handscomb;M. Kraft;A.E. Bayly

Frequent Co-Authors

Rong Xu
Rong Xu Nanyang Technological University
Iftekhar A. Karimi
Iftekhar A. Karimi National University of Singapore
Wenming Yang
Wenming Yang National University of Singapore
Andrew Smallbone
Andrew Smallbone Durham University
Fabian Mauss
Fabian Mauss Brandenburg University of Technology
Henning Bockhorn
Henning Bockhorn Karlsruhe Institute of Technology
Wenguang Tu
Wenguang Tu Chinese University of Hong Kong, Shenzhen
Alessandro Romagnoli
Alessandro Romagnoli Nanyang Technological University
Roger Watson
Roger Watson University of Hull
Hai Wang
Hai Wang Stanford University

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