Hamada S. Badr

1.9k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

Hamada S. Badr is a scholar working on Global and Planetary Change, Atmospheric Science and Modeling and Simulation. According to data from OpenAlex, Hamada S. Badr has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 7 papers in Modeling and Simulation. Recurrent topics in Hamada S. Badr's work include Climate variability and models (13 papers), Meteorological Phenomena and Simulations (8 papers) and COVID-19 epidemiological studies (7 papers). Hamada S. Badr is often cited by papers focused on Climate variability and models (13 papers), Meteorological Phenomena and Simulations (8 papers) and COVID-19 epidemiological studies (7 papers). Hamada S. Badr collaborates with scholars based in United States, Egypt and United Kingdom. Hamada S. Badr's co-authors include Lauren Gardner, Hongru Du, Ensheng Dong, Maximilian Marshall, Marietta M. Squire, Benjamin F. Zaitchik, Amin Dezfuli, Mahmoud Osman, Jason A. Otkin and Martha C. Anderson and has published in prestigious journals such as PLoS ONE, Journal of Climate and Water Resources Research.

In The Last Decade

Hamada S. Badr

27 papers receiving 1000 citations

Hit Papers

Association between mobility patterns and COVID-19 transm... 2020 2026 2022 2024 2020 100 200 300 400 500
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.

  1. Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study
    2020 577 citations Hamada S. Badr, Hongru Du et al. The Lancet Infectious Diseases profile →

Peers

Hamada S. Badr
Hongru Du China
Wei Tu United States
Bin Meng China
Nishant Kishore United States
Behzad Vahedi United States
Liangxu Wang China
Yumiao Zhang China
Jieping Zhou China
Joakim Weill United States
Thiago G. Martins Norway
Hongru Du China
Hamada S. Badr
Citations per year, relative to Hamada S. Badr Hamada S. Badr (= 1×) peers Hongru Du

Countries citing papers authored by Hamada S. Badr

Since Specialization
Citations

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

Fields of papers citing papers by Hamada S. Badr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamada S. Badr. 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 Hamada S. Badr. The network helps show where Hamada S. Badr may publish in the future.

Co-authorship network of co-authors of Hamada S. Badr

This figure shows the co-authorship network connecting the top 25 collaborators of Hamada S. Badr. A scholar is included among the top collaborators of Hamada S. Badr 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 Hamada S. Badr. Hamada S. Badr 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.
Recalde-Coronel, G. Cristina, et al.. (2024). Contributions of Initial Conditions and Meteorological Forecast to Subseasonal-to-Seasonal Hydrological Forecast Skill in Western Tropical South America. Journal of Hydrometeorology. 25(5). 709–733. 2 indexed citations
2.
3.
Badr, Hamada S., Benjamin F. Zaitchik, Gaige Hunter Kerr, et al.. (2023). Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemic. Scientific Data. 10(1). 367–367. 15 indexed citations
4.
Kerr, Gaige Hunter, Hamada S. Badr, Josh M. Colston, et al.. (2023). Dataset for "Evolving drivers of Brazilian SARS-CoV-2 transmission: a spatiotemporally disaggregated time series analysis of meteorology, policy, and human mobility". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
Du, Hongru, Ensheng Dong, Hamada S. Badr, et al.. (2023). Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach. EBioMedicine. 89. 104482–104482. 14 indexed citations
6.
Kerr, Gaige Hunter, Hamada S. Badr, Alisson Flávio Barbieri, et al.. (2023). Evolving Drivers of Brazilian SARS‐CoV‐2 Transmission: A Spatiotemporally Disaggregated Time Series Analysis of Meteorology, Policy, and Human Mobility. GeoHealth. 7(3). e2022GH000727–e2022GH000727. 3 indexed citations
7.
8.
Osman, Mahmoud, Benjamin F. Zaitchik, Hamada S. Badr, et al.. (2022). Diagnostic Classification of Flash Drought Events Reveals Distinct Classes of Forcings and Impacts. Journal of Hydrometeorology. 23(2). 275–289. 30 indexed citations
9.
Kerr, Gaige Hunter, Hamada S. Badr, Lauren Gardner, Javier Perez‐Saez, & Benjamin F. Zaitchik. (2021). Associations between meteorology and COVID-19 in early studies: Inconsistencies, uncertainties, and recommendations. One Health. 12. 100225–100225. 41 indexed citations
10.
Osman, Mahmoud, Benjamin F. Zaitchik, Hamada S. Badr, et al.. (2021). Flash drought onset over the contiguous United States: sensitivity of inventories and trends to quantitative definitions. Hydrology and earth system sciences. 25(2). 565–581. 93 indexed citations
11.
Yang, Guang, Benjamin F. Zaitchik, Hamada S. Badr, & Paul Block. (2021). A Bayesian adaptive reservoir operation framework incorporating streamflow non-stationarity. Journal of Hydrology. 594. 125959–125959. 10 indexed citations
12.
Osman, Mahmoud, Benjamin F. Zaitchik, Hamada S. Badr, et al.. (2020). Flash droughts over the Contiguous United States: Sensitivity of inventories and trends to quantitative definitions. AGU Fall Meeting Abstracts. 2020.
13.
Badr, Hamada S., Hongru Du, Maximilian Marshall, et al.. (2020). Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. The Lancet Infectious Diseases. 20(11). 1247–1254. 577 indexed citations breakdown →
14.
Abbott, Sam, et al.. (2020). epiforecasts/EpiNow2: CRAN Release. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
15.
Nie, Wanshu, Benjamin F. Zaitchik, Matthew Rodell, et al.. (2020). Irrigation Water Demand Sensitivity to Climate Variability Across the Contiguous United States. Water Resources Research. 57(3). 40 indexed citations
16.
Abbott, Sam, Hamada S. Badr, Sebastian Funk, et al.. (2020). epiforecasts/EpiNow2: Prerelease. Zenodo (CERN European Organization for Nuclear Research).
17.
Dezfuli, Amin, Benjamin F. Zaitchik, Hamada S. Badr, Jason P. Evans, & C. D. Peters‐Lidard. (2017). The Role of Low-Level, Terrain-Induced Jets in Rainfall Variability in Tigris–Euphrates Headwaters. Journal of Hydrometeorology. 18(3). 819–835. 8 indexed citations
18.
Badr, Hamada S., Benjamin F. Zaitchik, & Amin Dezfuli. (2014). Climate Regionalization through Hierarchical Clustering: Options and Recommendations for Africa. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
19.
Badr, Hamada S.. (2013). Spatiotemporal Variability of Precipitation over Africa.
20.
Badr, Hamada S., et al.. (2010). Evaluation of data assimilation on numerical weather prediction for Egypt. 9. 3526–3529. 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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