Laurie G. Baise

3.1k total citations · 1 hit paper
76 papers, 2.4k citations indexed

About

Laurie G. Baise is a scholar working on Civil and Structural Engineering, Geophysics and Management, Monitoring, Policy and Law. According to data from OpenAlex, Laurie G. Baise has authored 76 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Civil and Structural Engineering, 31 papers in Geophysics and 13 papers in Management, Monitoring, Policy and Law. Recurrent topics in Laurie G. Baise's work include Seismic Performance and Analysis (28 papers), Geotechnical Engineering and Underground Structures (26 papers) and Geotechnical Engineering and Soil Mechanics (26 papers). Laurie G. Baise is often cited by papers focused on Seismic Performance and Analysis (28 papers), Geotechnical Engineering and Underground Structures (26 papers) and Geotechnical Engineering and Soil Mechanics (26 papers). Laurie G. Baise collaborates with scholars based in United States, Japan and South Korea. Laurie G. Baise's co-authors include Eric M. Thompson, James Kaklamanos, Richard M. Vogel, Eugene Morgan, Matthew A. Lackner, Robert E. Kayen, Thomas Oommen, Jing Zhu, David M. Boore and Yasuo Tanaka and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Energy Conversion and Management and Geophysics.

In The Last Decade

Laurie G. Baise

72 papers receiving 2.3k citations

Hit Papers

Probability distributions for offshore wind speeds 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laurie G. Baise United States 25 1.6k 856 298 290 288 76 2.4k
Amir M. Kaynia Norway 36 3.8k 2.4× 302 0.4× 734 2.5× 124 0.4× 600 2.1× 134 4.6k
Thomas Oommen United States 31 441 0.3× 235 0.3× 927 3.1× 465 1.6× 173 0.6× 129 2.8k
Haibo Li China 31 1.0k 0.7× 114 0.1× 940 3.2× 201 0.7× 393 1.4× 186 2.6k
Scott A. Ashford United States 28 1.6k 1.0× 303 0.4× 415 1.4× 175 0.6× 251 0.9× 78 2.2k
Rui Pinho Italy 45 5.4k 3.5× 839 1.0× 141 0.5× 387 1.3× 108 0.4× 154 6.0k
Roberto Paolucci Italy 37 3.4k 2.1× 1.9k 2.2× 389 1.3× 64 0.2× 308 1.1× 123 4.1k
Ellen M. Rathje United States 44 5.3k 3.4× 1.9k 2.2× 1.7k 5.6× 231 0.8× 1.1k 3.8× 168 6.5k
Tianbin Li China 30 1.7k 1.1× 333 0.4× 1.1k 3.7× 70 0.2× 1.0k 3.6× 178 3.3k
Emanuele Intrieri Italy 29 709 0.5× 397 0.5× 2.6k 8.9× 253 0.9× 532 1.8× 66 3.4k
Allen W. Hatheway United States 12 3.0k 1.9× 918 1.1× 575 1.9× 106 0.4× 598 2.1× 51 3.7k

Countries citing papers authored by Laurie G. Baise

Since Specialization
Citations

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

Fields of papers citing papers by Laurie G. Baise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurie G. Baise. 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 Laurie G. Baise. The network helps show where Laurie G. Baise may publish in the future.

Co-authorship network of co-authors of Laurie G. Baise

This figure shows the co-authorship network connecting the top 25 collaborators of Laurie G. Baise. A scholar is included among the top collaborators of Laurie G. Baise 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 Laurie G. Baise. Laurie G. Baise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhan, Weiwei, Laurie G. Baise, & James Kaklamanos. (2025). A geospatial model for site response complexity. Soil Dynamics and Earthquake Engineering. 192. 109282–109282.
2.
Baise, Laurie G., et al.. (2024). Geospatial liquefaction probability models based on sand boils occurred during the 2017 M5.5 Pohang, South Korea, earthquake. Engineering Geology. 329. 107407–107407. 18 indexed citations
5.
Baise, Laurie G., et al.. (2020). Regional efficacy of a global geospatial liquefaction model. Engineering Geology. 272. 105644–105644. 27 indexed citations
6.
Baise, Laurie G., et al.. (2019). Assessing Site Response Complexity Using Single Station HVSR: Mexico City Case Study. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
7.
Moss, Robb Eric S., et al.. (2017). Examining the Discrepancy between Forecast and Observed Liquefaction from the 2015 Gorkha, Nepal, Earthquakes. Earthquake Spectra. 33(1S). 73–83. 5 indexed citations
8.
Zhu, Jing, et al.. (2014). A Geospatial Liquefaction Model for Rapid Response and Loss Estimation. Earthquake Spectra. 31(3). 1813–1837. 63 indexed citations
9.
Morgan, Eugene, Maarten Vanneste, Isabelle Lecomte, et al.. (2012). Estimation of free gas saturation from seismic reflection surveys by the genetic algorithm inversion of a P-wave attenuation model. Geophysics. 77(4). R175–R187. 31 indexed citations
10.
Kaklamanos, James, Brendon Bradley, Eric M. Thompson, & Laurie G. Baise. (2012). Bias and variability in site response: Analysis of residuals at 100 KiK-net stations. University of Canterbury Research Repository (University of Canterbury). 1 indexed citations
11.
Kaklamanos, James, Laurie G. Baise, & David M. Boore. (2011). Estimating Unknown Input Parameters when Implementing the NGA Ground‐Motion Prediction Equations in Engineering Practice. Earthquake Spectra. 27(4). 1219–1235. 161 indexed citations
12.
Baise, Laurie G., et al.. (2010). A GIS-Based Assessment of Liquefaction Potential of the City of New Damietta, Egypt. EGUGA. 15630. 1 indexed citations
13.
Baise, Laurie G., et al.. (2010). Regional Wave Propagation in New England and New York. Bulletin of the Seismological Society of America. 100(5A). 2196–2218. 12 indexed citations
14.
Thompson, Eric M. & Laurie G. Baise. (2010). The Importance of the Spatial Variability of Geotechnical Properties for Numerical Models of Downhole Seismic Arrays. GeoFlorida 2010. 72. 2073–2082. 1 indexed citations
15.
Morgan, Eugene, Matthew A. Lackner, Richard M. Vogel, & Laurie G. Baise. (2009). Probability Distributions for Offshore Wind Speeds. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
16.
Oommen, Thomas & Laurie G. Baise. (2007). A New Approach to Liquefaction Potential Mapping Using Remote Sensing and Machine Learning. AGUFM. 2007. 1 indexed citations
17.
Lenz, Jennifer & Laurie G. Baise. (2007). Variability of LPI across Geologic Units for Regional Liquefaction Mapping. 1–10. 1 indexed citations
18.
Thompson, Eric M., Laurie G. Baise, & Richard M. Vogel. (2006). An Index Earthquake Frequency Distribution. AGUFM. 2006. 2 indexed citations
19.
DeGroot, Don J., Jason T. DeJong, David J. Frost, & Laurie G. Baise. (2006). GeoCongress 2006 : Geotechnical Engineering in the Information Technology Age. 1710–1710. 58 indexed citations
20.
Abercrombie, Rachel E., et al.. (2005). Earthquake Source Scaling and Wave Propagation in Eastern North America: The Au Sable Forks, NY, Earthquake. AGU Fall Meeting Abstracts. 2005. 2 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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