World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
7575
World Ranking
4929
National Ranking
1412

Seth D. Guikema publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Seth D. Guikema sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 189 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Seth D. Guikema D-index placement in Engineering and Technology in 2026

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

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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