World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
67
Citations
17418
World Ranking
1080
National Ranking
455

Ian Dobson publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ian Dobson sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 228 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Ian Dobson D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ian Dobson sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2006 - IEEE Fellow For contributions to understanding and analysis of voltage collapse.

Overview

Ian Dobson is affiliated with Iowa State University in the United States and has made extensive contributions to the field of engineering, particularly within electrical and electronic engineering. Their research primarily focuses on areas such as power system reliability and maintenance, optimal power flow distribution, and infrastructure resilience and vulnerability analysis.

Their publication record includes notable recent papers such as:

  • Methods for Analysis and Quantification of Power System Resilience, 2022, IEEE Transactions on Power Systems
  • A Markovian Influence Graph Formed From Utility Line Outage Data to Mitigate Large Cascades, 2020, IEEE Transactions on Power Systems
  • Observed Acceleration of Cascading Outages, 2021, IEEE Transactions on Power Systems
  • Extracting Resilience Metrics From Distribution Utility Data Using Outage and Restore Process Statistics, 2021, IEEE Transactions on Power Systems
  • Using Utility Outage Statistics to Quantify Improvements in Bulk Power System Resilience, 2020, Electric Power Systems Research

Frequent co-authors collaborating with Ian Dobson include:

  • Arslan Ahmad
  • Zhaoyu Wang
  • Mathaios Panteli
  • Kai Zhou
  • Svetlana Ekisheva

Ian Dobson's work has been published predominantly in the following venues:

  • IEEE Transactions on Power Systems
  • arXiv (Cornell University)
  • Electric Power Systems Research
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • Reliability Engineering & System Safety

Their research spans various subfields of study such as:

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Civil and Structural Engineering
  • Control and Systems Engineering
  • Statistics, Probability and Uncertainty

Main topics covered in Ian Dobson's research include:

  • Power System Reliability and Maintenance
  • Optimal Power Flow Distribution
  • Infrastructure Resilience and Vulnerability Analysis
  • Power System Optimization and Stability
  • Electric Power System Optimization
  • Smart Grid Security and Resilience
  • Energy Load and Power Forecasting

Ian Dobson was recognized as an IEEE Fellow in 2006 for contributions to the understanding and analysis of voltage collapse.

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

  • Cascading dynamics and mitigation assessment in power system disturbances via a hidden failure model

    Jie Chen;James S. Thorp;Ian Dobson

  • 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

  • Towards a theory of voltage collapse in electric power systems

    Ian Dobson;Hsiao-Dong Chiang

  • Sensitivity of the loading margin to voltage collapse with respect to arbitrary parameters

    S. Greene;I. Dobson;F.L. Alvarado

  • 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

  • New methods for computing a closest saddle node bifurcation and worst case load power margin for voltage collapse

    I. Dobson;L. Lu

  • On voltage collapse in electric power systems

    H.-D. Chiang;I. Dobson;R.J. Thomas;J.S. Thorp

  • Point of collapse methods applied to AC/DC power systems

    C.A. Canizares;F.L. Alvarado;C.L. DeMarco;I. Dobson

  • Observations on the geometry of saddle node bifurcation and voltage collapse in electrical power systems

    I. Dobson

  • Voltage collapse precipitated by the immediate change in stability when generator reactive power limits are encountered

    I. Dobson;L. Lu

  • Complex dynamics of blackouts in power transmission systems.

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

  • Computation of closest bifurcations in power systems

    F. Alvarado;I. Dobson;Yi Hu

  • Initial review of methods for cascading failure analysis in electric power transmission systems IEEE PES CAMS task force on understanding, prediction, mitigation and restoration of cascading failures

    R. Baldick;B. Chowdhury;I. Dobson;Zhaoyang Dong

  • Contingency ranking for voltage collapse via sensitivities from a single nose curve

    S. Greene;I. Dobson;F.L. Alvarado

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

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

  • Estimating the Propagation and Extent of Cascading Line Outages From Utility Data With a Branching Process

    I. Dobson

  • Cascading power outages propagate locally in an influence graph that is not the actual grid topology

    Paul Hines;Ian Dobson;Pooya Rezaei

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

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

Frequent Co-Authors

David E. Newman
David E. Newman University of Alaska Fairbanks
B. A. Carreras
B. A. Carreras Carlos III University of Madrid
John H. Booske
John H. Booske University of Wisconsin–Madison
Paul D. H. Hines
Paul D. H. Hines University of Vermont
Fernando L. Alvarado
Fernando L. Alvarado University of Wisconsin–Madison
Zhaoyu Wang
Zhaoyu Wang Iowa State University
Robert H. Lasseter
Robert H. Lasseter University of Wisconsin–Madison
Linda K. Nozick
Linda K. Nozick Cornell University
Daniel S. Kirschen
Daniel S. Kirschen University of Washington
Thomas J. Overbye
Thomas J. Overbye Texas A&M University

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