D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 34 Citations 4,819 165 World Ranking 5808 National Ranking 1800

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Law
  • Artificial intelligence

Seth D. Guikema focuses on Electric power, Electric power system, Regression analysis, Statistics and Statistical model. His Electric power system research focuses on Electric power distribution and how it relates to Electric Power Supplies. He has researched Regression analysis in several fields, including Canalisation, Data set and Civil engineering.

His Statistical model study combines topics from a wide range of disciplines, such as Chesapeake bay, Pelagic zone and Remote sensing. His research in Telecommunications focuses on subjects like Meteorology, which are connected to Risk management. His Critical infrastructure study incorporates themes from Risk analysis, Timeline, Reliability engineering and Secrecy.

His most cited work include:

  • Probabilistic Modeling of Terrorist Threats: A Systems Analysis Approach to Setting Priorities Among Countermeasures (221 citations)
  • Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes (174 citations)
  • Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region (105 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Risk analysis, Reliability engineering, Electric power system, Risk analysis and Operations research. His Risk analysis research includes themes of Resilience, Risk management, Risk analysis, Critical infrastructure and Resource. Estimation is closely connected to Reliability in his research, which is encompassed under the umbrella topic of Reliability engineering.

His study brings together the fields of Electric power and Electric power system. In his study, Terrorism is inextricably linked to Risk assessment, which falls within the broad field of Risk analysis. His work in Operations research is not limited to one particular discipline; it also encompasses Regression analysis.

He most often published in these fields:

  • Risk analysis (19.12%)
  • Reliability engineering (13.24%)
  • Electric power system (12.75%)

What were the highlights of his more recent work (between 2018-2021)?

  • Risk analysis (19.12%)
  • Resilience (6.37%)
  • Asset management (3.92%)

In recent papers he was focusing on the following fields of study:

Seth D. Guikema mostly deals with Risk analysis, Resilience, Asset management, Electric power system and Environmental health. Seth D. Guikema works on Risk analysis which deals in particular with Risk analysis. In his research on the topic of Resilience, Environmental planning, Hazard and Spatial planning is strongly related with Conceptualization.

His Electric power system research overlaps with other disciplines such as Data modeling, Distribution system, Probability distribution, Probabilistic logic and Critical infrastructure. His work in Environmental health addresses subjects such as Information system, which are connected to disciplines such as Water quality. His Reliability engineering research is multidisciplinary, relying on both Power law and Robustness.

Between 2018 and 2021, his most popular works were:

  • Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations: (15 citations)
  • Parks and safety: a comparative study of green space access and inequity in five US cities (11 citations)
  • Predicting Thunderstorm-Induced Power Outages to Support Utility Restoration (9 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Law
  • Artificial intelligence

His main research concerns Risk analysis, Resilience, MEDLINE, Environmental health and Tropical cyclone. His Risk analysis research is under the purview of Risk analysis. His Resilience study is concerned with the larger field of Reliability engineering.

As part of his studies on Tropical cyclone, Seth D. Guikema often connects relevant subjects like Exposure assessment.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Elisabeth Pat-Cornell;Seth Guikema.
Military Operations Research (2002)

301 Citations

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

Dominique Lord;Seth D. Guikema;Srinivas Reddy Geedipally.
Accident Analysis & Prevention (2008)

254 Citations

Optimizing scheduling of post‐earthquake electric power restoration tasks

Ningxiong Xu;Seth D. Guikema;Rachel A. Davidson;Linda K. Nozick.
Earthquake Engineering & Structural Dynamics (2007)

195 Citations

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

Roshanak Nateghi;Seth D. Guikema;Steven M. Quiring.
Risk Analysis (2011)

172 Citations

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.
Reliability Engineering & System Safety (2009)

169 Citations

A flexible count data regression model for risk analysis.

Seth D. Guikema;Jeremy P. Goffelt.
Risk Analysis (2008)

165 Citations

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.
Hydrology and Earth System Sciences (2016)

148 Citations

Predicting Hurricane Power Outages to Support Storm Response Planning

Seth David Guikema;Roshanak Nateghi;Steven M. Quiring;Andrea Staid.
IEEE Access (2014)

147 Citations

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

Dominique Lord;Srinivas Reddy Geedipally;Seth D. Guikema.
Risk Analysis (2010)

144 Citations

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

Shridhar Yamijala;Seth D. Guikema;Kelly Brumbelow.
Reliability Engineering & System Safety (2009)

133 Citations

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