World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
9902
World Ranking
5383
National Ranking
1508

David E. Newman 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 David E. Newman 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: 227 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

David E. Newman 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 David E. Newman 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: 45 D-Index — 46th percentile

46% 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

  • 2011 - Fellow of American Physical Society (APS) Citation For seminal contributions in a broad range of nonlinear problems relating to plasma turbulence, transport in fusion plasmas, and complex nonlinear systems

Overview

David E. Newman is affiliated with the University of Alaska Fairbanks in the United States. Their research spans multiple areas within engineering, with a particular focus on electrical and electronic engineering as well as nuclear and high energy physics. The main field of study is engineering, supported by work in subfields such as materials chemistry, pollution, and mechanical engineering.

The scientist's work covers a variety of topics, including:

  • Magnetic confinement fusion research
  • Fusion materials and technologies
  • Smart materials for construction
  • Electrical fault detection and protection
  • Innovative energy harvesting technologies
  • Integrated energy systems optimization
  • Water-energy-food nexus studies

Recent publications by David E. Newman include the following papers:

  • "Engineering Tests to Evaluate the Feasibility of an Emerging Solar Pavement Technology for Public Roads and Highways," 2020, published in Technologies
  • "The Potential Impact of Climate Change on the Efficiency and Reliability of Solar, Hydro, and Wind Energy Sources," 2022, published in Land
  • "Tracer particle transport dynamics in the diffusive sandpile cellular automaton," 2020, published in Chaos Solitons & Fractals
  • "The Impact of Incorporating Wind Energy in the Electric Grid," 2020, published in Proceedings of the Annual Hawaii International Conference on System Sciences
  • "Control of internal transport barriers in magnetically confined tokamak burning plasmas," 2022, published in Physics of Plasmas

Frequently collaborating researchers include:

  • B. A. Carreras
  • R. Sánchez
  • P. W. Terry
  • J. A. Mier
  • Uma S. Bhatt

David E. Newman has published multiple papers in notable research venues. The most frequent publication venues are:

  • Physics of Plasmas
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • Technologies
  • Land
  • Chaos Solitons & Fractals

Among their recognitions, David E. Newman was named a Fellow of the American Physical Society (APS) in 2011. The citation highlights their contributions to a broad range of nonlinear problems related to plasma turbulence, transport in fusion plasmas, and complex nonlinear systems.

Best Publications

  • Complex systems analysis of series of blackouts: Cascading failure, critical points, and self-organization

    Ian Dobson;Benjamin A. Carreras;Vickie E. Lynch;David E. Newman

  • Critical points and transitions in an electric power transmission model for cascading failure blackouts

    Benjamin A. Carreras;Vickie E. Lynch;Ian Dobson;David E. Newman

  • Evidence for self-organized criticality in a time series of electric power system blackouts

    B.A. Carreras;D.E. Newman;I. Dobson;A.B. Poole

  • An initial model fo complex dynamics in electric power system blackouts

    I. Dobson;B.A. Carreras;V.E. Lynch;D.E. Newman

  • A Loading-Dependent Model of Probabilistic Cascading Failure

    Ian Dobson;Benjamin A. Carreras;David E. Newman

  • The dynamics of marginality and self-organized criticality as a paradigm for turbulent transport

    D. E. Newman;B. A. Carreras;P. H. Diamond;T. S. Hahm

  • Complex dynamics of blackouts in power transmission systems.

    B. A. Carreras;V. E. Lynch;Ian Dobson;D. E. Newman

  • A model realization of self‐organized criticality for plasma confinement

    B. A. Carreras;D. Newman;V. E. Lynch;P. H. Diamond

  • A probabilistic loading-dependent model of cascading failure and possible implications for blackouts

    I. Dobson;B.A. Carreras;D.E. Newman

  • Examining criticality of blackouts in power system models with cascading events

    I. Dobson;J. Chen;J.S. Thorp;B.A. Carreras

  • Long-range time correlations in plasma edge turbulence

    B. A. Carreras;B. van Milligen;M. A. Pedrosa;R. Balbin

  • A branching process approximation to cascading load-dependent system failure

    I. Dobson;B.A. Carreras;D.E. Newman

  • Fluctuation-induced flux at the plasma edge in toroidal devices

    B. A. Carreras;C. Hidalgo;E. Sánchez;M. A. Pedrosa

  • Initial evidence for self-organized criticality in electric power system blackouts

    B.A. Carreras;D.E. Newman;I. Dobson;A.B. Poole

  • Modeling blackout dynamics in power transmission networks with simple structure

    B.A. Carreras;V.E. Lynch;M.L. Sachtjen;I. Dobson

  • Exploring Complex Systems Aspects of Blackout Risk and Mitigation

    D E Newman;B A Carreras;V E Lynch;I Dobson

  • Blackout mitigation assessment in power transmission systems

    B.A. Carreras;V.E. Lynch;D.E. Newman;I. Dobson

  • DYNAMICS OF TRANSITION TO ENHANCED CONFINEMENT IN REVERSED MAGNETIC SHEAR DISCHARGES

    P. H. Diamond;V. B. Lebedev;D. E. Newman;B. A. Carreras

  • Validation in fusion research: Towards guidelines and best practices

    P. W. Terry;M. Greenwald;J.-N. Leboeuf;G. R. McKee

  • Waiting-Time Statistics of Self-Organized-Criticality Systems

    R. Sánchez;D. E. Newman;B. A. Carreras

  • North American blackout time series statistics and implications for blackout risk

    Benjamin A. Carreras;David E. Newman;Ian Dobson

Frequent Co-Authors

B. A. Carreras
B. A. Carreras Carlos III University of Madrid
Ian Dobson
Ian Dobson Iowa State University
Patrick Diamond
Patrick Diamond University of California, San Diego
Uma S. Bhatt
Uma S. Bhatt University of Alaska Fairbanks
Marshall N. Rosenbluth
Marshall N. Rosenbluth University of California, San Diego
Chris Hegna
Chris Hegna University of Wisconsin–Madison
George M. Zaslavsky
George M. Zaslavsky Courant Institute of Mathematical Sciences
Thomas M. Antonsen
Thomas M. Antonsen University of Maryland, College Park
Bobby G. Sumpter
Bobby G. Sumpter Oak Ridge National Laboratory

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