World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
7291
World Ranking
4645
National Ranking
1633

Paul D. H. Hines 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 Paul D. H. Hines 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: 114 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Paul D. H. Hines 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 Paul D. H. Hines 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: 39 D-Index — 33rd percentile

33% 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

  • 1958 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Paul D. H. Hines is affiliated with the University of Vermont in the United States. Their research is primarily focused within the field of engineering, with a particular emphasis on electrical and electronic engineering, control and systems engineering, and automotive and civil engineering disciplines. Their work also intersects with domains addressing safety, risk, reliability, and quality.

The research topics covered by Paul D. H. Hines include smart grid energy management, microgrid control and optimization, smart grid security and resilience, infrastructure resilience and vulnerability analysis, power system reliability and maintenance, optimal power flow distribution, and visual perception and processing mechanisms.

Recent publications by Paul D. H. Hines demonstrate engagement with power system resilience, smart grid coordination, and visual cognition. Notable papers include:

  • Using Utility Outage Statistics to Quantify Improvements in Bulk Power System Resilience, 2020, Electric Power Systems Research
  • Real-Time Grid and DER Co-Simulation Platform for Testing Large-Scale DER Coordination Schemes, 2022, IEEE Transactions on Smart Grid
  • Packetizing the Power Grid: The rules of the Internet can also Balance Electricity Supply and Demand, 2022, IEEE Spectrum
  • Ranking the Impact of Interdependencies on Power System Resilience Using Stratified Sampling of Utility Data, 2023, IEEE Transactions on Power Systems
  • Test-retest reliability of visual and self-motion cue combination during navigation: accuracy, variability, and cue weighting, 2025, Spatial Cognition and Computation

The scientist frequently publishes in venues such as arXiv (Cornell University), Electric Power Systems Research, IEEE Transactions on Smart Grid, IEEE Spectrum, and IEEE Transactions on Power Systems.

Frequent collaborators include Mads Almassalkhi, Adil Khurram, Mahraz Amini, Luis A. Duffaut Espinosa, and Molly Rose Kelly-Gorham.

Paul D. H. Hines was awarded the title of Fellow of the American Association for the Advancement of Science (AAAS) in 1958.

Best Publications

  • Do topological models provide good information about electricity infrastructure vulnerability

    Paul Hines;Eduardo Cotilla-Sanchez;Seth Blumsack

  • Large blackouts in North America: Historical trends and policy implications

    Paul Hines;Jay Apt;Sarosh Talukdar

  • A “Random Chemistry” algorithm for identifying collections of multiple contingencies that initiate cascading failure

    Margaret Eppstein;Paul Hines

  • Dynamic Modeling of Cascading Failure in Power Systems

    Jiajia Song;Eduardo Cotilla-Sanchez;Goodarz Ghanavati;Paul D. H. Hines

  • Do topological models provide good information about vulnerability in electric power networks

    Paul Hines;Eduardo Cotilla-Sanchez;Seth Blumsack

  • Multi-Attribute Partitioning of Power Networks Based on Electrical Distance

    Eduardo Cotilla-Sanchez;Paul D. H. Hines;Clayton Barrows;Seth Blumsack

  • Comparing the Topological and Electrical Structure of the North American Electric Power Infrastructure

    E. Cotilla-Sanchez;P. D. H. Hines;C. Barrows;S. Blumsack

  • Estimating the Impact of Electric Vehicle Smart Charging on Distribution Transformer Aging

    A. D. Hilshey;P. D. H. Hines;P. Rezaei;J. R. Dowds

  • The Topological and Electrical Structure of Power Grids

    P. Hines;S. Blumsack;E. Cotilla Sanchez;C. Barrows

  • A Centrality Measure for Electrical Networks

    P. Hines;S. Blumsack

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

    Paul Hines;Ian Dobson;Pooya Rezaei

  • Cascading failures in power grids

    P. Hines;K. Balasubramaniam;E.C. Sanchez

  • Modeling the Impact of Increasing PHEV Loads on the Distribution Infrastructure

    Chris Farmer;Paul Hines;Jonathan Dowds;Seth Blumsack

  • Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence.

    Mert Korkali;Jason G. Veneman;Brian F. Tivnan;Brian F. Tivnan;James P. Bagrow

  • Benchmarking and Validation of Cascading Failure Analysis Tools

    Janusz Bialek;Emanuele Ciapessoni;Diego Cirio;Eduardo Cotilla-Sanchez

  • Trends in the history of large blackouts in the United States

    P. Hines;J. Apt;S. Talukdar

  • Defining power network zones from measures of electrical distance

    S. Blumsack;P. Hines;M. Patel;C. Barrows

  • Packetized Plug-In Electric Vehicle Charge Management

    Pooya Rezaei;Jeff Frolik;Paul D. H. Hines

  • Estimating Cascading Failure Risk With Random Chemistry

    Pooya Rezaei;Paul D. H. Hines;Margaret J. Eppstein

  • Survey of tools for risk assessment of cascading outages

    Milorad Papic;Keith Bell;Yousu Chen;Ian Dobson

  • Predicting critical transitions from time series synchrophasor data

    Eduardo Cotilla-Sanchez;Paul Hines;Christopher Danforth

  • Long-term electric system investments to support Plug-in Hybrid Electric Vehicles

    S. Blumsack;C. Samaras;P. Hines

  • Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependency

    Mert Korkali;Jason G. Veneman;Brian F. Tivnan;Paul D. H. Hines

Frequent Co-Authors

Ian Dobson
Ian Dobson Iowa State University
Josh Bongard
Josh Bongard University of Vermont
Jay Apt
Jay Apt Carnegie Mellon University
Paulina Jaramillo
Paulina Jaramillo Carnegie Mellon University
David G. Victor
David G. Victor University of California, San Diego
Badrul H. Chowdhury
Badrul H. Chowdhury University of North Carolina at Charlotte
Daniel M. Kammen
Daniel M. Kammen University of California, Berkeley
Brian Wansink
Brian Wansink Cornell University
Bruce H. Krogh
Bruce H. Krogh Carnegie Mellon University
Zhenyu Huang
Zhenyu Huang Pacific Northwest National Laboratory

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Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional Electronics and Electrical Engineering, exploring related fields through online degrees can be highly beneficial. Programs like a master's in instructional design offer specialized skills that combine technology with education, ideal for roles in technical training and curriculum development.

Many universities now offer competency based masters degree programs, which focus on measured skill mastery rather than time spent in class. This approach allows for a flexible, personalized learning experience—perfect for working professionals aiming to accelerate their career growth in engineering or tech-related fields.

Accessibility is another crucial consideration. Certain online institutions cater specifically to online colleges for military spouses, providing support networks and flexible schedules to accommodate unique life circumstances while pursuing higher education.

Finally, to make education more accessible, some programs offer online colleges that start immediately. These allow students to begin coursework without waiting for traditional semester start dates, helping aspiring engineers and technologists gain momentum in their studies quickly.

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