World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
7291
World Ranking
4645
National Ranking
1632

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
Zhenyu Huang
Zhenyu Huang Pacific Northwest National Laboratory
Bruce H. Krogh
Bruce H. Krogh Carnegie Mellon University
Daniel S. Kirschen
Daniel S. Kirschen University of Washington

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