William Lehman

653 total citations · 1 hit paper
22 papers, 410 citations indexed

About

William Lehman is a scholar working on Global and Planetary Change, Atmospheric Science and Sociology and Political Science. According to data from OpenAlex, William Lehman has authored 22 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 6 papers in Sociology and Political Science. Recurrent topics in William Lehman's work include Flood Risk Assessment and Management (13 papers), Tropical and Extratropical Cyclones Research (8 papers) and Disaster Management and Resilience (6 papers). William Lehman is often cited by papers focused on Flood Risk Assessment and Management (13 papers), Tropical and Extratropical Cyclones Research (8 papers) and Disaster Management and Resilience (6 papers). William Lehman collaborates with scholars based in United States, United Kingdom and Australia. William Lehman's co-authors include Oliver Wing, Carolyn Kousky, Paul Bates, Andrew Smith, Christopher Sampson, Jeffrey Neal, Jeremy R. Porter, Niall Quinn, Tuan Ngo and Earl J. Baker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Climate Change and Environmental Modelling & Software.

In The Last Decade

William Lehman

20 papers receiving 398 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.

Inequitable patterns of US flood risk in the Anthropocene

2022 256 citations Oliver Wing, William Lehman et al. Nature Climate Change profile →

Peers

William Lehman

GPC

AS

SPS

WST

OE

Angela Peck Canada

Marco Hoogvliet Netherlands

H. Schelfhout Netherlands

Sarah Kienzler Germany

Ruben Dahm Netherlands

Florian Elmer Germany

Tobias Sieg Germany

Jason Sauer United States

Bas Kolen Netherlands

Lauro Rossi Italy

Angela Peck Canada

William Lehman

260 ×0.8

GPC

62 ×0.5

AS

69 ×0.6

SPS

110 ×1.8

WST

49 ×0.9

OE

Citations per year, relative to William Lehman William Lehman (= 1×) peers Angela Peck

Countries citing papers authored by William Lehman

Since Specialization

Citations

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

Fields of papers citing papers by William Lehman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Lehman. 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 William Lehman. The network helps show where William Lehman may publish in the future.

Co-authorship network of co-authors of William Lehman

This figure shows the co-authorship network connecting the top 25 collaborators of William Lehman. A scholar is included among the top collaborators of William Lehman 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 William Lehman. William Lehman 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.

Rahman, Atiya, et al.. (2025). Social vulnerability correlates of flood risk to crops and buildings. Natural Hazards. 121(7). 8137–8158. 3 indexed citations

2.

Williams, Thomas Christopher Rhys, et al.. (2024). Evaluation of the SpatioTemporal Asset Catalog for management and discovery of FAIR flood hazard models. Environmental Modelling & Software. 183. 106230–106230.

3.

Zhang, Chen, et al.. (2023). Leveraging OGC API for cloud-based flood modeling campaigns. Environmental Modelling & Software. 171. 105855–105855. 2 indexed citations

4.

Tavakoly, Ahmad A., et al.. (2023). Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps. Natural hazards and earth system sciences. 23(1). 261–277. 7 indexed citations

5.

Wing, Oliver, William Lehman, Paul Bates, et al.. (2022). Inequitable patterns of US flood risk in the Anthropocene. Nature Climate Change. 12(2). 156–162. 256 indexed citations breakdown →

6.

Lindell, Michael K., John H. Sorensen, Earl J. Baker, & William Lehman. (2020). Community response to hurricane threat: Estimates of household evacuation preparation time distributions. Transportation Research Part D Transport and Environment. 85. 102457–102457. 28 indexed citations

7.

Sorensen, John H., Michael K. Lindell, Earl J. Baker, & William Lehman. (2020). Community Response to Hurricane Threat: Estimates of Warning Issuance Time Distributions. Weather Climate and Society. 12(4). 837–846. 13 indexed citations

8.

Sharma, Upasna, et al.. (2019). Developing a National Structure Database for Flood Risk Assessment across the United States: an Inter-Agency Collaboration. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

9.

Ngo, Tuan, et al.. (2016). Calibration and validation of FLFA _rs -- a new flood loss function for Australian residential structures. Natural hazards and earth system sciences. 16(1). 15–27. 29 indexed citations

10.

Lehman, William. (2016). Lifecycle Problems in Consequence Estimation. SHILAP Revista de lepidopterología. 7. 5010–5010. 1 indexed citations

11.

Ngo, Tuan, et al.. (2016). Development and evaluation of FLFAcs – A new Flood Loss Function for Australian commercial structures. International Journal of Disaster Risk Reduction. 17. 13–23. 17 indexed citations

12.

Lehman, William, et al.. (2016). The US Army Corps of Engineers Scalable Approach to Estimating Loss of Life from Flooding. SHILAP Revista de lepidopterología. 7. 6003–6003. 7 indexed citations

13.

Ngo, Tuan, et al.. (2015). Results comparison and model validation for flood loss functions in Australian geographical conditions. 3 indexed citations

14.

Jonkman, Sebastiaan N., et al.. (2014). A comparative study on methods for loss of life estimation : Applications to case studies in the United States. Data Archiving and Networked Services (DANS). 1 indexed citations

15.

Jonkman, Sebastiaan N., et al.. (2013). Loss of Life, Evacuation and Emergency Management: Comparison and Application to Case Studies in the USA. 4 indexed citations

16.

Manore, Melinda M., Linda A. Vaughan, & William Lehman. (1989). Development and testing of a statistical and graphics-enhanced nutrient analysis program. Journal of the American Dietetic Association. 89(2). 246–250. 12 indexed citations

17.

Lehman, William, et al.. (1977). CUF 101, a new variety of alfalfa is resistant to the blue alfalfa aphid. California Agriculture. 31(8). 4–5. 2 indexed citations

18.

Robinson, F.E., David W. Cudney, & William Lehman. (1977). Yellow berry of wheat linked to protein content. California Agriculture. 31(3). 16–17. 2 indexed citations

19.

Lehman, William, et al.. (1973). Sunflowers in the Desert Valley areas of Southern California. California Agriculture. 27(8). 12–13. 3 indexed citations

20.

Lehman, William, D. C. Erwin, & E. H. Stanford. (1967). Root rot tolerance in new alfalfa strains now available to plant breeders. California Agriculture. 21(4). 6–6. 1 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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