Peter J. Vickery

5.2k total citations · 1 hit paper
51 papers, 4.0k citations indexed

About

Peter J. Vickery is a scholar working on Atmospheric Science, Environmental Engineering and Oceanography. According to data from OpenAlex, Peter J. Vickery has authored 51 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Atmospheric Science, 25 papers in Environmental Engineering and 21 papers in Oceanography. Recurrent topics in Peter J. Vickery's work include Tropical and Extratropical Cyclones Research (37 papers), Wind and Air Flow Studies (25 papers) and Ocean Waves and Remote Sensing (21 papers). Peter J. Vickery is often cited by papers focused on Tropical and Extratropical Cyclones Research (37 papers), Wind and Air Flow Studies (25 papers) and Ocean Waves and Remote Sensing (21 papers). Peter J. Vickery collaborates with scholars based in United States, New Zealand and Canada. Peter J. Vickery's co-authors include Lawrence A. Twisdale, Mark D. Powell, Timothy A. Reinhold, Dhiraj Wadhera, Francis M. Lavelle, Jason Lin, Forrest J. Masters, Andrew Steckley, Michael A. Young and Edward N. Rappaport and has published in prestigious journals such as Nature, Bulletin of the American Meteorological Society and Journal of Structural Engineering.

In The Last Decade

Peter J. Vickery

47 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reduced drag coefficient for high wind speeds in tropical cyclones

2003 1.2k citations Mark D. Powell, Peter J. Vickery et al. Nature profile →

Peers

Peter J. Vickery

AS

OCEAN

EE

GPC

EP

Lawrence A. Twisdale United States

Forrest J. Masters United States

Jane McKee Smith United States

Hajime MASE Japan

Gianfausto Salvadori Italy

Jeremy D. Bricker Netherlands

Dominic E. Reeve United Kingdom

Da‐Lin Zhang United States

Tetsuya Takemi Japan

Øyvind Breivik Norway

Lawrence A. Twisdale United States

Peter J. Vickery

1.3k ×0.4

AS

445 ×0.2

OCEAN

775 ×0.6

EE

664 ×0.5

GPC

214 ×0.3

EP

Citations per year, relative to Peter J. Vickery Peter J. Vickery (= 1×) peers Lawrence A. Twisdale

Countries citing papers authored by Peter J. Vickery

Since Specialization

Citations

This map shows the geographic impact of Peter J. Vickery's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter J. Vickery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Vickery more than expected).

Fields of papers citing papers by Peter J. Vickery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Vickery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter J. Vickery. The network helps show where Peter J. Vickery may publish in the future.

Co-authorship network of co-authors of Peter J. Vickery

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Vickery. A scholar is included among the top collaborators of Peter J. Vickery based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter J. Vickery. Peter J. Vickery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Vickery, Peter J., et al.. (2025). Gulf of Mexico hurricane hazard assessment for offshore wind energy sites. Wind energy science. 10(11). 2685–2703.

2.

Crawford, Shane, et al.. (2024). State of the Art and Research Needs in Design for Tornadoes to Improve Community Resilience. American Society of Civil Engineers eBooks.

3.

Vickery, Peter J., et al.. (2023). Hazus Hurricane Wind Model for the US Caribbean Territories: Hazard Modeling and Development of Residential Damage Functions. Natural Hazards Review. 24(4). 3 indexed citations

4.

Lavelle, Francis M., et al.. (2023). Hurricane Wind Loss Estimation for Puerto Rico and the US Virgin Islands: Model Implementation and Validation. Natural Hazards Review. 24(4). 1 indexed citations

5.

Vickery, Peter J., et al.. (2015). Development of a New Synthetic Hurricane Model for Deriving MetOcean Design Criteria for the Gulf of Mexico. Offshore Technology Conference. 1 indexed citations

6.

Hanson, Jeffrey L., et al.. (2013). Coastal Storm Surge Analysis: Storm Surge Results. Report 5: Intermediate Submission No. 3. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 2 indexed citations

7.

Vickery, Peter J., Dhiraj Wadhera, Andrew T. Cox, et al.. (2013). Coastal storm surge analysis: storm forcing; Report 3: Intermediate submission no. 1.3. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core).

8.

Vickery, Peter J., et al.. (2013). Practical Approach to Implement Level-1 High Wind PRA. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations

9.

Vickery, Peter J. & Francis M. Lavelle. (2012). The Effects of Warm Atlantic Ocean Sea Surface Temperatures on the ASCE 7-10 Design Wind Speeds. 13–22. 4 indexed citations

10.

Masters, Forrest J., et al.. (2010). Toward Objective, Standardized Intensity Estimates from Surface Wind Speed Observations. Bulletin of the American Meteorological Society. 91(12). 1665–1682. 96 indexed citations

11.

Vickery, Peter J., et al.. (2010). SS Metocean / A Synthetic Model for Gulf of Mexico Hurricanes. Offshore Technology Conference. 2 indexed citations

12.

Vickery, Peter J., et al.. (2010). A Synthetic Model for Gulf of Mexico Hurricanes. Proceedings of Offshore Technology Conference. 2 indexed citations

13.

Levinson, David H., Peter J. Vickery, & Donald T. Resio. (2009). A review of the climatological characteristics of landfalling Gulf hurricanes for wind, wave, and surge hazard estimation. Ocean Engineering. 37(1). 13–25. 27 indexed citations

14.

Vickery, Peter J.. (2008). Component and Cladding Wind Loads for Soffits. Journal of Structural Engineering. 134(5). 846–853. 6 indexed citations

15.

Vickery, Peter J., et al.. (2006). HAZUS-MH Hurricane Model Methodology. I: Hurricane Hazard, Terrain, and Wind Load Modeling. Natural Hazards Review. 7(2). 82–93. 164 indexed citations

16.

Vickery, Peter J., et al.. (2006). HAZUS-MH Hurricane Model Methodology. II: Damage and Loss Estimation. Natural Hazards Review. 7(2). 94–103. 233 indexed citations

17.

Powell, Mark D., Peter J. Vickery, & Timothy A. Reinhold. (2003). Reduced drag coefficient for high wind speeds in tropical cyclones. Nature. 422(6929). 279–283. 1177 indexed citations breakdown →

18.

Vickery, Peter J. & Lawrence A. Twisdale. (1997). Closure to “Prediction of Hurricane Wind Speeds in the United States” by Peter J. Vickery and Lawrence A. Twisdale. Journal of Structural Engineering. 123(11). 1550–1552. 1 indexed citations

19.

Twisdale, Lawrence A., et al.. (1994). Uncertainties in the Prediction of Hurricane Windspeeds. 706–715. 4 indexed citations

20.

Twisdale, Lawrence A. & Peter J. Vickery. (1992). Research on thunderstorm wind design parameters. Journal of Wind Engineering and Industrial Aerodynamics. 41(1-3). 545–556. 61 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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