---
title: "FEMA disaster data: research papers using this data"
description: "From Nov 2023 to Oct 2026, 62 archived papers mentioned FEMA disaster data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (4)."
url: https://scholar4ai.com/datasets/fema-disaster-data
markdown_url: https://scholar4ai.com/datasets/fema-disaster-data.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 62 archived papers mentioned FEMA disaster data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (4). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# FEMA disaster data

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/3.md)

Weather observations, climate reanalyses and projections, and disaster records.

- data category: Weather, climate and disaster data
- 0 papers in the last 7 days
- Names searched for: FEMA

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Weather, climate and disaster data datasets: https://scholar4ai.com/datasets/weather-climate-and-disaster-data.md



## Key findings

- From Nov 2023 to Oct 2026, 62 archived papers mentioned FEMA disaster data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (4).
- FEMA disaster data was mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #127 of the 246 datasets mentioned.
- By journal category: Economics (1) and Operations Research (1).
- Most of them appeared in Italian Economic Journal (1) and Transportation Research Part B Methodological (1).
- From 2017 to 2026 (so far), FEMA disaster data was mentioned in 74 papers in the tracked journals, most of them in economics (24), operations research (14) and finance (11).
- 13 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were Clemson University (3), University of Cambridge (3) and City, University of London (2).
- The journals publishing most of them were Economics of Disasters and Climate Change (6), European Journal of Operational Research (3) and Review of Accounting Studies (3).
- The most-cited of them is “U.S. transportation infrastructure resilience: Influences of insurance, incentives, and public assistance” (Transport Policy, 2020), with 48 citations.
- Papers use FEMA disaster data most often with NOAA (15), Twitter / X (8) and American Community Survey (6); it has 10 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 20 | 19 | 23 | 62 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 11 | 3 | 6 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 2 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 5 |
| [Management](https://scholar4ai.com/categories/management.md) | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 2 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 2 | 1 | 1 | 1 | 1 | 3 | 3 | 26 | 13 | 23 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Economics of Disasters and Climate Change](https://scholar4ai.com/journals/economics-of-disasters-and-climate-change.md) | 6 |
| 2 | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 3 |
| 3 | [Review of Accounting Studies](https://scholar4ai.com/journals/review-of-accounting-studies.md) | 3 |
| 4 | [Socio-Economic Planning Sciences](https://scholar4ai.com/journals/socio-economic-planning-sciences.md) | 2 |
| 5 | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | 2 |
| 6 | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | 2 |
| 7 | [World Development](https://scholar4ai.com/journals/world-development.md) | 2 |
| 8 | [The Journal of Real Estate Finance and Economics](https://scholar4ai.com/journals/the-journal-of-real-estate-finance-and-economics.md) | 2 |
| 9 | [Journal of Risk and Uncertainty](https://scholar4ai.com/journals/journal-of-risk-and-uncertainty.md) | 2 |
| 10 | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Clemson University | 3 |
| 2 | [University of Cambridge](https://scholar4ai.com/institutions/university-of-cambridge.md) | 3 |
| 3 | City, University of London | 2 |
| 4 | [Cornell University](https://scholar4ai.com/institutions/cornell-university.md) | 2 |
| 5 | De Montfort University | 2 |
| 6 | East Carolina University | 2 |
| 7 | Florida International University | 2 |
| 8 | [Pennsylvania State University](https://scholar4ai.com/institutions/pennsylvania-state-university.md) | 2 |
| 9 | [University of Bath](https://scholar4ai.com/institutions/university-of-bath.md) | 2 |
| 10 | [University of Bristol](https://scholar4ai.com/institutions/university-of-bristol.md) | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 30 |
| 2 | United Kingdom | 17 |
| 3 | Italy | 7 |
| 4 | Canada | 6 |
| 5 | Belgium | 3 |
| 6 | China | 3 |
| 7 | Netherlands | 3 |
| 8 | Australia | 2 |
| 9 | Germany | 2 |
| 10 | Hong Kong | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | flood risk | 5 |
| 2 | natural disasters | 5 |
| 3 | [climate risk](https://scholar4ai.com/keywords/climate-risk.md) | 4 |
| 4 | disaster preparedness | 4 |
| 5 | [housing prices](https://scholar4ai.com/keywords/housing-prices.md) | 4 |
| 6 | [climate change adaptation](https://scholar4ai.com/keywords/climate-change-adaptation.md) | 3 |
| 7 | [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 3 |
| 8 | disaster recovery | 3 |
| 9 | disaster response | 3 |
| 10 | emergency management | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 48 | 0.7 | [U.S. transportation infrastructure resilience: Influences of insurance, incentives, and public assistance](https://doi.org/10.1016/j.tranpol.2020.10.011) | [Transport Policy](https://scholar4ai.com/journals/transport-policy.md) | 2020-10-28 | Gina L. Tonn, Allison Reilly, Jeffrey Robert Czajkowski et al. |
| 2 | 46 | 0.4 | [Community views of the federal emergency management agency's “whole community” strategy in a complex US City: Re-envisioning societal resilience](https://doi.org/10.1016/j.techfore.2016.12.009) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2017-01-12 | Heather Koch, Zeno E. Franco, Tracey L O’Sullivan et al. |
| 3 | 41 | 0.8 | [An integrative framework for coordination of damage assessment, road restoration, and relief distribution in disasters](https://doi.org/10.1016/j.omega.2022.102748) | [Omega](https://scholar4ai.com/journals/omega.md) | 2022-09-09 | Mohammad Amin Farzaneh, Shabnam Rezapour, Atefe Baghaian et al. |
| 4 | 40 | 0.4 | [Exploring communication media options in an inter-organizational disaster response coordination network using agent-based simulation](https://doi.org/10.1016/j.ejor.2018.02.013) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 2018-02-12 | Susan K. Aros, Deborah E. Gibbons |
| 5 | 37 | 1.0 | [EXABSUM: a new text summarization approach for generating extractive and abstractive summaries](https://doi.org/10.1186/s40537-023-00836-y) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2023-10-24 | Zakariae Alami Merrouni, Bouchra Frikh, Brahim Ouhbi |

## Used together with

Papers use FEMA disaster data most often with NOAA (15), Twitter / X (8) and American Community Survey (6); it has 10 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

*What papers use FEMA disaster data together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [NOAA](https://scholar4ai.com/datasets/noaa.md) | Dataset | 15 | 42.0 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 8 | 1.2 |
| [American Community Survey](https://scholar4ai.com/datasets/american-community-survey.md) | Dataset | 6 | 13.1 |
| [Gallup World Poll](https://scholar4ai.com/datasets/gallup-world-poll.md) | Dataset | 4 | 10.2 |
| [Zillow (ZTRAX, ZHVI)](https://scholar4ai.com/datasets/zillow-ztrax-zhvi.md) | Dataset | 4 | 68.0 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 3 | 0.7 |
| [HMDA mortgage data](https://scholar4ai.com/datasets/hmda-mortgage-data.md) | Dataset | 3 | 58.8 |
| [Landsat](https://scholar4ai.com/datasets/landsat.md) | Dataset | 3 | 10.3 |
| [US Energy Information Administration (EIA)](https://scholar4ai.com/datasets/us-energy-information-administration-eia.md) | Dataset | 3 | 10.8 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 3 | 1.1 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning FEMA disaster data in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-14 | [Ten Uses of Extreme Event Impact Attribution: An Economic Research Agenda](https://doi.org/10.1007/s40797-026-00413-1) | [Italian Economic Journal](https://scholar4ai.com/journals/italian-economic-journal.md) | Ilan Noy | Victoria University of Wellington; Gran Sasso Science Institute |
| 2026-10-14 | [Modeling and simulating human behavior in large-scale emergency evacuations: A comprehensive review](https://doi.org/10.1016/j.trb.2026.103611) | [Transportation Research Part B Methodological](https://scholar4ai.com/journals/transportation-research-part-b-methodological.md) | Shiva Moslemi, Ada Arıkanoğlu, Vedat Bayram et al. | Koç University; University of Kent; TED University |

## Cite this page

Scholar4AI. (2026). FEMA disaster data. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/fema-disaster-data

```bibtex
@misc{scholar4ai-datasets-fema-disaster-data,
  author = {{Scholar4AI}},
  title = {FEMA disaster data},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/fema-disaster-data}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).