Kevin D. Ash

2.1k total citations · 1 hit paper
25 papers, 1.5k citations indexed

About

Kevin D. Ash is a scholar working on Global and Planetary Change, Sociology and Political Science and Atmospheric Science. According to data from OpenAlex, Kevin D. Ash has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 15 papers in Sociology and Political Science and 13 papers in Atmospheric Science. Recurrent topics in Kevin D. Ash's work include Flood Risk Assessment and Management (14 papers), Disaster Management and Resilience (13 papers) and Tropical and Extratropical Cyclones Research (9 papers). Kevin D. Ash is often cited by papers focused on Flood Risk Assessment and Management (14 papers), Disaster Management and Resilience (13 papers) and Tropical and Extratropical Cyclones Research (9 papers). Kevin D. Ash collaborates with scholars based in United States, United Kingdom and Bangladesh. Kevin D. Ash's co-authors include Susan L. Cutter, Christopher T. Emrich, Ronald L. Schumann, Corene J. Matyas, Eunjung Yang, Jinwon Kim, Lori Pennington‐Gray, Stephen M. Strader, Bimal Kanti Paul and Seongsoo Jang and has published in prestigious journals such as Global Environmental Change, Bulletin of the American Meteorological Society and Annals of Tourism Research.

In The Last Decade

Kevin D. Ash

23 papers receiving 1.4k citations

Hit Papers

The geographies of community disaster resilience 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin D. Ash United States 13 1.0k 743 309 273 193 25 1.5k
Shannon Van Zandt United States 22 1.1k 1.1× 686 0.9× 294 1.0× 161 0.6× 319 1.7× 52 1.8k
Daniel Henstra Canada 21 908 0.9× 852 1.1× 122 0.4× 163 0.6× 157 0.8× 63 1.6k
Irfan Ahmad Rana Pakistan 29 1.1k 1.1× 1.3k 1.8× 264 0.9× 387 1.4× 139 0.7× 88 2.5k
Alexander Fekete Germany 25 1.3k 1.3× 1.4k 1.9× 524 1.7× 280 1.0× 132 0.7× 83 2.4k
Jerry T. Mitchell United States 18 1.2k 1.2× 754 1.0× 124 0.4× 249 0.9× 67 0.3× 52 1.9k
Juergen Weichselgartner Austria 13 898 0.9× 683 0.9× 156 0.5× 110 0.4× 150 0.8× 20 1.5k
Abhas K. Jha United States 10 576 0.6× 849 1.1× 173 0.6× 184 0.7× 96 0.5× 16 1.4k
Melanie Gall United States 16 691 0.7× 655 0.9× 159 0.5× 255 0.9× 65 0.3× 37 1.2k
Norio Okada Japan 20 630 0.6× 680 0.9× 157 0.5× 168 0.6× 143 0.7× 120 1.6k
Cassidy Johnson United Kingdom 17 914 0.9× 407 0.5× 195 0.6× 63 0.2× 89 0.5× 43 1.5k

Countries citing papers authored by Kevin D. Ash

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. Ash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. Ash. 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 Kevin D. Ash. The network helps show where Kevin D. Ash may publish in the future.

Co-authorship network of co-authors of Kevin D. Ash

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Ash. A scholar is included among the top collaborators of Kevin D. Ash 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 Kevin D. Ash. Kevin D. Ash 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.
Ash, Kevin D., et al.. (2024). Assessing the vulnerability of Cape Coral, Florida, to sea level rise using principal component analysis (2020–2050). International Journal of Disaster Risk Reduction. 115. 105014–105014. 1 indexed citations
2.
Joslyn, Susan, et al.. (2023). The impact of probabilistic tornado warnings on risk perceptions and responses.. Journal of Experimental Psychology Applied. 30(1). 206–239. 4 indexed citations
3.
Ash, Kevin D., et al.. (2023). Modes of climate mobility under sea-level rise. Environmental Research Letters. 18(11). 114015–114015. 9 indexed citations
4.
Remo, Jonathan W.F., et al.. (2023). Socio-hydrology and vulnerability of levee systems along the lower Illinois River. Annals of GIS. 29(2). 273–291. 2 indexed citations
5.
Ash, Kevin D., et al.. (2023). Damages Associated with Excessive Rainfall Outlooks (ERO) and Missed Flash Floods. Weather and Forecasting. 38(6). 971–984. 2 indexed citations
6.
Ash, Kevin D., et al.. (2022). Construal of Situational Risk and Outcomes—Exploring the Use of Weather Radar Displays with Residents of the Tampa Bay Region. Weather Climate and Society. 15(1). 211–226. 2 indexed citations
7.
Clarke, Kayan, Kevin D. Ash, Eric S. Coker, Tara Sabo‐Attwood, & Engineer Bainomugisha. (2022). A Social Vulnerability Index for Air Pollution and Its Spatially Varying Relationship to PM2.5 in Uganda. Atmosphere. 13(8). 1169–1169. 7 indexed citations
8.
Ash, Kevin D., et al.. (2020). Structural Forces: Perception and Vulnerability Factors for Tornado Sheltering within Mobile and Manufactured Housing in Alabama and Mississippi. Weather Climate and Society. 12(3). 453–472. 25 indexed citations
9.
Han, Yu, Kevin D. Ash, Liang Mao, & Zhong‐Ren Peng. (2020). An agent-based model for community flood adaptation under uncertain sea-level rise. Climatic Change. 162(4). 2257–2276. 21 indexed citations
10.
Hassan, Mohammad Mehedy, Kevin D. Ash, Joynal Abedin, Bimal Kanti Paul, & Jane Southworth. (2020). A Quantitative Framework for Analyzing Spatial Dynamics of Flood Events: A Case Study of Super Cyclone Amphan. Remote Sensing. 12(20). 3454–3454. 30 indexed citations
11.
Kim, Jinwon, et al.. (2020). Tourism and economic resilience. Annals of Tourism Research. 87. 103024–103024. 31 indexed citations
12.
Ash, Kevin D., et al.. (2018). Usefulness of the United States National Weather Service Radar Display as Rated by Website Users. Weather Climate and Society. 10(4). 673–691. 8 indexed citations
13.
Schumann, Ronald L., et al.. (2017). Tornado Warning Perception and Response: Integrating the Roles of Visual Design, Demographics, and Hazard Experience. Risk Analysis. 38(2). 311–332. 27 indexed citations
15.
Ash, Kevin D.. (2015). Mobile Home Resident Perspectives on Preparedness, Protective Action, and Evacuation for Tornado Hazards. Scholar Commons (University of South Carolina). 2 indexed citations
16.
Cutter, Susan L., Kevin D. Ash, & Christopher T. Emrich. (2014). The geographies of community disaster resilience. Global Environmental Change. 29. 65–77. 790 indexed citations breakdown →
17.
Ash, Kevin D., et al.. (2013). Tornado Warning Trade-Offs: Evaluating Choices for Visually Communicating Risk. Weather Climate and Society. 6(1). 104–118. 91 indexed citations
18.
Ash, Kevin D., Susan L. Cutter, & Christopher T. Emrich. (2013). Acceptable losses? The relative impacts of natural hazards in the United States, 1980–2009. International Journal of Disaster Risk Reduction. 5. 61–72. 20 indexed citations
19.
Emrich, Christopher T., et al.. (2012). Research‐Based Decision Support in Hazard Mitigation: Louisiana Northshore Flood and Hurricane Protection. Risk Hazards & Crisis in Public Policy. 3(3). 38–68. 1 indexed citations
20.
Ash, Kevin D. & Corene J. Matyas. (2010). The influences of ENSO and the subtropical Indian Ocean Dipole on tropical cyclone trajectories in the southwestern Indian Ocean. International Journal of Climatology. 32(1). 41–56. 53 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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