David V. Rosowsky

6.5k citations
166 papers · 5.1k · h-index 39

Impact in

Papers in

David V. Rosowsky

164 papers receiving 4.7k citations

Peers

David V. Rosowsky
Comparison fields: 5 of 121
  • Civil and Structural Engineering 3.5k
  • Building and Construction 1.4k
  • Statistics, Probability and Uncertainty 689
  • Environmental Engineering 976
  • Safety, Risk, Reliability and Quality 436
Replace Jamie E. Padgett with:
Jamie E. Padgett United States
John W. van de Lindt United States
You Dong Hong Kong
Fatemeh Jalayer Italy
Horia Alejandro Barbat Barbat Spain
Kyriazis Pitilakis Greece
Rui Pinho Italy
Ye‐Shuang Xu China
Iunio Iervolino Italy
Carmine Galasso United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by David V. Rosowsky

Since Specialization
Citations

This map shows the geographic impact of David V. Rosowsky'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 David V. Rosowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David V. Rosowsky more than expected).

Fields of papers citing papers by David V. Rosowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David V. Rosowsky. 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 David V. Rosowsky. The network helps show where David V. Rosowsky may publish in the future.

Co-authors

The 25 scholars most cited alongside David V. Rosowsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David V. Rosowsky Line = papers co-authored together David V. Rosowsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998301
2 2004294
3 2007228
4 2008220
5 2005179
6 1998158
7 2002151
8 2008147
9 2005147
10 2011119
11 2003105
12 1999103
13 2001103
14 200887
15 201478
16 200775
17 200774
18 201072
19 200672
20 200167

About David V. Rosowsky

David V. Rosowsky is a scholar working on Civil and Structural Engineering, Building and Construction, Mechanical Engineering, Statistics, Probability and Uncertainty and Environmental Engineering, having authored 166 papers that have together received 5.1k indexed citations. Recurring topics across this work include Wood Treatment and Properties (61 papers), Tree Root and Stability Studies (42 papers), Probabilistic and Robust Engineering Design (32 papers), Structural Engineering and Vibration Analysis (32 papers), Wind and Air Flow Studies (26 papers), Seismic Performance and Analysis (22 papers), Concrete Corrosion and Durability (18 papers) and Tropical and Extratropical Cyclones Research (14 papers). The work is most often cited by research in Civil and Structural Engineering (3.5k citations), Building and Construction (1.4k citations), Statistics, Probability and Uncertainty (689 citations), Environmental Engineering (976 citations) and Safety, Risk, Reliability and Quality (436 citations). David V. Rosowsky has collaborated with scholars based in United States, Australia and Colombia. Frequent co-authors include Mark G. Stewart, Bruce R. Ellingwood, Paolo Gardoni, Doeun Choe, Terje Haukaas, Rachel A. Davidson, Mauricio Sánchez‐Silva, Weichiang Pang, Jun Hee Kim and Kyung Ho Lee. Their work appears in journals such as Journal of Structural Engineering, Structural Safety, Natural Hazards Review, Wood and Fiber Science and Journal of Performance of Constructed Facilities.

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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