World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
6713
World Ranking
4696
National Ranking
1343

Earth Science

D-Index
47
Citations
6455
World Ranking
4103
National Ranking
1586

Daniel T. Cox publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Daniel T. Cox sits on this spectrum.

38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38 publications 603+

This scientist: 195 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

Daniel T. Cox D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel T. Cox sits on this spectrum.

30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 47 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

Overview

Daniel T. Cox is affiliated with Oregon State University in the United States. Their research spans several interconnected fields with a primary focus on Earth and Planetary Sciences and Engineering. Within these broad areas, Cox's work covers subfields such as Earth-Surface Processes, Civil and Structural Engineering, Ecology, Atmospheric Science, and Ocean Engineering.

The scientist's research topics concentrate on Coastal and Marine Dynamics, Earthquake and Tsunami Effects, Tropical and Extratropical Cyclones Research, Coastal Wetland Ecosystem Dynamics, Infrastructure Resilience and Vulnerability Analysis, Disaster Management and Resilience, and Evacuation and Crowd Dynamics.

Cox has published extensively across several venues characterized by their focus on coastal and structural engineering topics. Frequent publication venues include:

  • Coastal Engineering Proceedings
  • Coastal Engineering
  • SSRN Electronic Journal
  • Journal of Waterway Port Coastal and Ocean Engineering
  • Proceedings of the International Conference on the Application of Physical Modelling in Coastal and Port Engineering and Science.

Frequent coauthors in Cox's collaborative network include Pedro Lomónaco, Tori Tomiczek, Hyoungsu Park, Sungwon Shin, and André R. Barbosa, with individual collaboration counts ranging from 13 to 26 joint works.

Among recent papers, notable publications include:

  • The interdependent networked community resilience modeling environment (IN-CORE), 2023, published in Resilient Cities and Structures
  • Physical model investigation of mid-scale mangrove effects on flow hydrodynamics and pressures and loads in the built environment, 2020, published in Coastal Engineering
  • Giant tsunami monitoring, early warning and hazard assessment, 2022, published in Nature Reviews Earth & Environment
  • Methodology for Regional Multihazard Hurricane Damage and Risk Assessment, 2021, published in Journal of Structural Engineering
  • Prototype-Scale Physical Model of Wave Attenuation Through a Mangrove Forest of Moderate Cross-Shore Thickness: LiDAR-Based Characterization and Reynolds Scaling for Engineering With Nature, 2022, published in Frontiers in Marine Science

Best Publications

  • An agent-based model of a multimodal near-field tsunami evacuation: Decision-making and life safety

    Haizhong Wang;Alireza Mostafizi;Lori A. Cramer;Dan Cox

  • Going with the flow or against the grain? The promise of vegetation for protecting beaches, dunes, and barrier islands from erosion

    Rusty A Feagin;Jens Figlus;Julie C Zinnert;Jake Sigren

  • Multiple-Hazard Fragility and Restoration Models of Highway Bridges for Regional Risk and Resilience Assessment in the United States: State-of-the-Art Review

    Ioannis Gidaris;Jamie E. Padgett;Andre R. Barbosa;Suren Chen

  • Biophysical feedback mediates effects of invasive grasses on coastal dune shape

    Phoebe L. Zarnetske;Sally D. Hacker;Eric W. Seabloom;Peter Ruggiero

  • Tsunami inundation modeling in constructed environments: A physical and numerical comparison of free-surface elevation, velocity, and momentum flux

    Hyoungsu Park;Daniel T. Cox;Patrick J. Lynett;Dane M. Wiebe

  • Identification of intense, intermittent coherent motions under shoaling and breaking waves

    Daniel T. Cox;Nobuhisa Kobayashi

  • Experimental Setup for a Large-Scale Bridge Superstructure Model Subjected to Waves

    Christopher Bradner;Thomas Schumacher;Daniel Cox;Christopher Higgins

  • Procedure for Site Assessment of the Potential for Tsunami Debris Impact

    Clay Naito;Christina Cercone;H. R. Riggs;Daniel Cox

  • Agent-based tsunami evacuation modeling of unplanned network disruptions for evidence-driven resource allocation and retrofitting strategies

    Alireza Mostafizi;Haizhong Wang;Dan Cox;Lori A. Cramer

  • Laboratory Measurements of Void Fraction and Turbulence in the Bore Region of Surf Zone Waves

    Daniel T. Cox;Sungwon Shin

  • Bottom shear stress in the surf zone

    Daniel T. Cox;Nobuhisa Kobayashi;Akio Okayasu

  • Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network

    Sabarethinam Kameshwar;Daniel T. Cox;Andre R Barbosa;Karim Farokhnia

  • Hydrodynamic Characteristics of Pile-Supported Vertical Wall Breakwaters

    Kyung-Duck Suh;Kyung-Duck Suh;Sungwon Shin;Sungwon Shin;Daniel T. Cox;Daniel T. Cox

  • Large-scale laboratory observations of turbulence on a fixed barred beach

    Christopher P Scott;Daniel T Cox;Timothy B Maddux;Joseph W Long

  • Experimental modeling of horizontal and vertical wave forces on an elevated coastal structure

    Hyoungsu Park;Tori Tomiczek;Daniel T. Cox;John W. van de Lindt

  • An agent-based vertical evacuation model for a near-field tsunami: Choice behavior, logical shelter locations, and life safety

    Alireza Mostafizi;Haizhong Wang;Dan Cox;Shangjia Dong

  • Irregular Wave Reflection and Run‐Up on Rough Impermeable Slopes

    Nobuhisa Kobayashi;Daniel T. Cox;Andojo Wurjanto

  • Household risk perceptions and evacuation intentions in earthquake and tsunami in a Cascadia Subduction Zone

    Alexandra Buylova;Chen Chen;Lori A. Cramer;Haizhong Wang

  • THE INTERDEPENDENT NETWORKED COMMUNITY RESILIENCE MODELING ENVIRONMENT (IN-CORE)

    Paolo Gardoni;John W. van de Lindt;Bruce Ellingwood;Therese P. McAllister

  • Laboratory observations of green water overtopping a fixed deck

    Daniel T. Cox;José Alberto Ortega

  • Water Level Observations and Short-Term Predictions Including Meteorological Events for Entrance of Galveston Bay, Texas

    Daniel T. Cox;Philippe Tissot;Patrick Michaud

  • Probabilistic assessment of near-field tsunami hazards: Inundation depth, velocity, momentum flux, arrival time, and duration applied to Seaside, Oregon

    Hyoungsu Park;Daniel T. Cox

  • Large-scale laboratory observations of wave breaking turbulence over an evolving beach

    Hyun‐Doug Yoon;Daniel T. Cox

  • Comparison of inundation depth and momentum flux based fragilities for probabilistic tsunami damage assessment and uncertainty analysis

    Hyoungsu Park;Daniel T. Cox;Andre R. Barbosa

Frequent Co-Authors

John W. van de Lindt
John W. van de Lindt Colorado State University
Nobuhisa Kobayashi
Nobuhisa Kobayashi University of Delaware
Jack A. Puleo
Jack A. Puleo University of Delaware
Tian-Jian Hsu
Tian-Jian Hsu University of Delaware
Patrick J. Lynett
Patrick J. Lynett University of Southern California
Hajime Mase
Hajime Mase Kyoto University
Bruce R. Ellingwood
Bruce R. Ellingwood Colorado State University
Paolo Gardoni
Paolo Gardoni University of Illinois at Urbana-Champaign
Qiuhua Liang
Qiuhua Liang Loughborough University
Annette von Jouanne
Annette von Jouanne Baylor University

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