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47
Citations
7575
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4929
National Ranking
1412

Overview

Seth D. Guikema is affiliated with the University of Michigan-Ann Arbor in the United States and has a significant body of work in the field of engineering. Their research spans multiple subfields including sociology and political science, civil and structural engineering, global and planetary change, ocean engineering, and statistics, probability, and uncertainty.

The primary topics of study in Guikema's research cover disaster management and resilience, infrastructure resilience and vulnerability analysis, flood risk assessment and management, evacuation and crowd dynamics, risk and safety analysis, water systems and optimization, and COVID-19 epidemiological studies.

Guikema has published extensively, with notable papers including:

  • "Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature" (2020, Remote Sensing of Environment)
  • "Parks and safety: a comparative study of green space access and inequity in five US cities" (2020, Landscape and Urban Planning)
  • "Reframing Resilience: Equitable Access to Essential Services" (2020, Risk Analysis)
  • "Risk science offers an integrated approach to resilience" (2022, Nature Sustainability)
  • "Interdisciplinary Theory, Methods, and Approaches for Hazards and Disaster Research: An Introduction to the Special Issue" (2021, Risk Analysis)

Frequent collaborators include Roger Flage, Tom Logan, Terje Aven, Tim G. Williams, and Daniel G. Brown, indicating extensive cooperative research activities across multiple projects.

The main venues where Guikema's research has appeared consist of:

  • Risk Analysis
  • Reliability Engineering & System Safety
  • Remote Sensing of Environment
  • Natural Hazards
  • Environmental Science Water Research & Technology

Best Publications

  • Probabilistic Modeling of Terrorist Threats: A Systems Analysis Approach to Setting Priorities Among Countermeasures

    Elisabeth Pat-Cornell;Seth Guikema

  • Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes

    Dominique Lord;Seth D. Guikema;Srinivas Reddy Geedipally

  • Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds

    Julie E. Shortridge;Seth D. Guikema;Benjamin F. Zaitchik

  • Comparison and validation of statistical methods for predicting power outage durations in the event of hurricanes.

    Roshanak Nateghi;Seth D. Guikema;Steven M. Quiring

  • Optimizing scheduling of post‐earthquake electric power restoration tasks

    Ningxiong Xu;Seth D. Guikema;Rachel A. Davidson;Linda K. Nozick

  • Predicting Hurricane Power Outages to Support Storm Response Planning

    Seth David Guikema;Roshanak Nateghi;Steven M. Quiring;Andrea Staid

  • Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region

    Seung Ryong Han;Seth D. Guikema;Steven M. Quiring;Kyung Ho Lee

  • A flexible count data regression model for risk analysis.

    Seth D. Guikema;Jeremy P. Goffelt

  • Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature

    T.M. Logan;B. Zaitchik;S. Guikema;A. Nisbet

  • Parks and safety: a comparative study of green space access and inequity in five US cities

    Tim G Williams;Tom M. Logan;Connie T Zuo;Kevin D Liberman

  • Statistical models for the analysis of water distribution system pipe break data

    Shridhar Yamijala;Seth D. Guikema;Kelly Brumbelow

  • Extension of the application of conway-maxwell-poisson models: analyzing traffic crash data exhibiting underdispersion.

    Dominique Lord;Srinivas Reddy Geedipally;Seth D. Guikema

  • Power outage estimation for tropical cyclones: improved accuracy with simpler models.

    Roshanak Nateghi;Seth Guikema;Steven M. Quiring

  • Prestorm Estimation of Hurricane Damage to Electric Power Distribution Systems

    Seth D. Guikema;Steven M. Quiring;Seung Ryong Han

  • Improving the Predictive Accuracy of Hurricane Power Outage Forecasts Using Generalized Additive Models

    Seung Ryong Han;Seth D. Guikema;Steven M. Quiring

  • Statistical models of the effects of tree trimming on power system outages

    S.D. Guikema;R.A. Davidson;Haibin Liu

  • Natural disaster risk analysis for critical infrastructure systems: An approach based on statistical learning theory

    Seth D. Guikema

  • Hybrid data mining-regression for infrastructure risk assessment based on zero-inflated data

    Seth D. Guikema;Steven M. Quiring

  • Bayesian Belief Networks for predicting drinking water distribution system pipe breaks

    Royce A. Francis;Seth D. Guikema;Lucas Henneman

  • Forecasting hurricane-induced power outage durations

    Roshanak Nateghi;Roshanak Nateghi;Seth D. Guikema;Steven M. Quiring

  • Post-Earthquake Restoration Planning for Los Angeles Electric Power

    Zehra Çağnan;Rachel A. Davidson;Seth D. Guikema

Frequent Co-Authors

Steven M. Quiring
Steven M. Quiring The Ohio State University
Benjamin F. Zaitchik
Benjamin F. Zaitchik Johns Hopkins University
Terje Aven
Terje Aven University of Stavanger
Alex Sprintson
Alex Sprintson Texas A&M University
Dominique Lord
Dominique Lord Texas A&M University
Paolo Gardoni
Paolo Gardoni University of Illinois at Urbana-Champaign
Jean-Louis Briaud
Jean-Louis Briaud Texas A&M University
Kellogg J. Schwab
Kellogg J. Schwab Johns Hopkins University
Anand Gnanadesikan
Anand Gnanadesikan Johns Hopkins University
Chanan Singh
Chanan Singh Texas A&M University

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