Allison Reilly

581 total citations
22 papers, 396 citations indexed

About

Allison Reilly is a scholar working on Sociology and Political Science, Global and Planetary Change and Civil and Structural Engineering. According to data from OpenAlex, Allison Reilly has authored 22 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 12 papers in Global and Planetary Change and 11 papers in Civil and Structural Engineering. Recurrent topics in Allison Reilly's work include Flood Risk Assessment and Management (11 papers), Infrastructure Resilience and Vulnerability Analysis (11 papers) and Disaster Management and Resilience (9 papers). Allison Reilly is often cited by papers focused on Flood Risk Assessment and Management (11 papers), Infrastructure Resilience and Vulnerability Analysis (11 papers) and Disaster Management and Resilience (9 papers). Allison Reilly collaborates with scholars based in United States, New Zealand and Australia. Allison Reilly's co-authors include Seth D. Guikema, Andrea Staid, Roshanak Nateghi, Steven M. Quiring, Tom Logan, Michel Cukier, Paul L. Goethals, Mitchell J. Anderson, Dean A. Jones and Linda K. Nozick and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Climate Change.

In The Last Decade

Allison Reilly

20 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison Reilly United States 10 146 112 92 80 66 22 396
Himmet Karaman Türkiye 13 112 0.8× 99 0.9× 108 1.2× 22 0.3× 30 0.5× 39 558
Andrea Staid United States 14 134 0.9× 111 1.0× 52 0.6× 146 1.8× 98 1.5× 26 669
Michelle Bensi United States 13 210 1.4× 120 1.1× 63 0.7× 45 0.6× 121 1.8× 46 602
Benjamin Scharte Germany 6 269 1.8× 155 1.4× 183 2.0× 15 0.2× 28 0.4× 13 527
Ji-Myong Kim South Korea 16 111 0.8× 124 1.1× 67 0.7× 54 0.7× 88 1.3× 52 568
Alireza Mostafizi United States 11 168 1.2× 161 1.4× 170 1.8× 60 0.8× 51 0.8× 18 681
Amirhassan Kermanshah United States 11 184 1.3× 123 1.1× 73 0.8× 24 0.3× 31 0.5× 18 460
James H. Lambert United States 9 102 0.7× 162 1.4× 48 0.5× 15 0.2× 15 0.2× 36 378
Amina Khan India 6 37 0.3× 70 0.6× 57 0.6× 37 0.5× 11 0.2× 7 390
Quanyi Huang China 12 39 0.3× 107 1.0× 45 0.5× 18 0.2× 44 0.7× 36 304

Countries citing papers authored by Allison Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Allison Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Reilly

This figure shows the co-authorship network connecting the top 25 collaborators of Allison Reilly. A scholar is included among the top collaborators of Allison Reilly 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 Allison Reilly. Allison Reilly 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.
Miao, Qing, et al.. (2025). Where Did the Money Go? Assessing the Distribution of the Community Development Block Grant - Disasters Recovery Funds. The American Review of Public Administration. 55(3). 227–248. 1 indexed citations
2.
Nateghi, Roshanak, et al.. (2025). Learning after the storm: Characterizing and understanding prolonged unplanned school closures after hurricanes. International Journal of Disaster Risk Reduction. 125. 105611–105611.
3.
Reilly, Allison, et al.. (2024). Statistical learning to identify salient factors influencing FEMA public assistance outlays. Natural Hazards. 120(12). 10559–10582. 2 indexed citations
4.
Miao, Qing, et al.. (2024). Under-reported and under-served: Disparities in US disaster federal aid-to-damage ratios after hurricanes. International Journal of Disaster Risk Reduction. 106. 104430–104430. 7 indexed citations
5.
McNally, Diane, et al.. (2024). Navigating the definition of urban flooding: A conceptual and systematic review of the literature. Water Science & Technology. 90(10). 2796–2812. 4 indexed citations
6.
McNeil, Sue, Bryan T. Adey, Panagiotis Ch. Anastasopoulos, et al.. (2024). Journal of Infrastructure Systems : Thirty Years and an Opportunity to Refocus. Journal of Infrastructure Systems. 31(1).
7.
Gerst, Michael D., et al.. (2024). Observed and Potential Conflicts in Management of Interdependent Infrastructure Systems. Journal of Management in Engineering. 40(4). 1 indexed citations
8.
He, Qian, et al.. (2023). Demographics and risk of isolation due to sea level rise in the United States. Nature Communications. 14(1). 7904–7904. 11 indexed citations
9.
Qian, He, et al.. (2023). Rent affordability after hurricanes: Longitudinal evidence from US coastal states. Risk Analysis. 45(11). 3439–3451. 8 indexed citations
10.
Logan, Tom, Mitchell J. Anderson, & Allison Reilly. (2023). Risk of isolation increases the expected burden from sea-level rise. Nature Climate Change. 13(4). 397–402. 22 indexed citations
11.
Reilly, Allison, et al.. (2022). Predicting flood damage using the flood peak ratio and Giovanni Flooded Fraction. PLoS ONE. 17(8). e0271230–e0271230. 6 indexed citations
12.
Reilly, Allison, et al.. (2022). Roadway flooding as a bellwether for household retreat in rural, coastal regions vulnerable to sea-level rise. Climate Risk Management. 36. 100425–100425. 18 indexed citations
13.
Reilly, Allison, et al.. (2022). Does federal flood hazard mitigation assistance affect community rating system participation?. Risk Analysis. 43(7). 1414–1433. 2 indexed citations
14.
Reilly, Allison, et al.. (2020). U.S. transportation infrastructure resilience: Influences of insurance, incentives, and public assistance. Transport Policy. 100. 108–119. 37 indexed citations
15.
Reilly, Allison, et al.. (2019). Risk and the Five Hard Problems of Cybersecurity. Risk Analysis. 39(10). 2119–2126. 37 indexed citations
16.
Baecher, Gregory B., et al.. (2019). Resiliently Engineered Flood and Hurricane Infrastructure: Principles to Guide the Next Generation of Engineers. 49(2). 2 indexed citations
17.
Reilly, Allison, et al.. (2015). “Gaming the System”: Decision Making by Interdependent Critical Infrastructure. Decision Analysis. 12(4). 155–172. 15 indexed citations
18.
Guikema, Seth D., et al.. (2014). Predicting Hurricane Power Outages to Support Storm Response Planning. IEEE Access. 2. 1364–1373. 153 indexed citations
19.
Reilly, Allison & Seth D. Guikema. (2014). Bayesian Multiscale Modeling of Spatial Infrastructure Performance Predictions with an Application to Electric Power Outage Forecasting. Journal of Infrastructure Systems. 21(2). 4 indexed citations
20.
Reilly, Allison, Linda K. Nozick, Ningxiong Xu, & Dean A. Jones. (2011). Game theory-based identification of facility use restrictions for the movement of hazardous materials under terrorist threat. Transportation Research Part E Logistics and Transportation Review. 48(1). 115–131. 33 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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