Samson Hagos

3.8k total citations
92 papers, 2.6k citations indexed

About

Samson Hagos is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Samson Hagos has authored 92 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Global and Planetary Change, 83 papers in Atmospheric Science and 24 papers in Oceanography. Recurrent topics in Samson Hagos's work include Climate variability and models (79 papers), Meteorological Phenomena and Simulations (58 papers) and Tropical and Extratropical Cyclones Research (43 papers). Samson Hagos is often cited by papers focused on Climate variability and models (79 papers), Meteorological Phenomena and Simulations (58 papers) and Tropical and Extratropical Cyclones Research (43 papers). Samson Hagos collaborates with scholars based in United States, China and United Kingdom. Samson Hagos's co-authors include L. Ruby Leung, Chun Zhao, Zhe Feng, Kerry H. Cook, Jian Lu, Yang Gao, Qing Yang, Chidong Zhang, Casey Burleyson and Xiaohong Liu and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Science Advances.

In The Last Decade

Samson Hagos

83 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samson Hagos United States 30 2.4k 2.3k 445 105 84 92 2.6k
Xin Qu United States 22 1.8k 0.8× 1.9k 0.8× 217 0.5× 83 0.8× 38 0.5× 40 2.3k
Rémy Roca France 30 2.7k 1.1× 2.8k 1.2× 377 0.8× 117 1.1× 37 0.4× 93 3.2k
Colin M. Zarzycki United States 31 2.3k 1.0× 2.3k 1.0× 485 1.1× 156 1.5× 45 0.5× 72 2.7k
Zhe Feng United States 30 2.9k 1.2× 2.8k 1.2× 222 0.5× 125 1.2× 89 1.1× 129 3.2k
A. Boville United States 6 2.5k 1.0× 2.4k 1.0× 429 1.0× 82 0.8× 49 0.6× 6 2.8k
Gary M. Lackmann United States 30 2.3k 1.0× 2.6k 1.1× 566 1.3× 50 0.5× 53 0.6× 89 2.8k
Kyle Hilburn United States 15 1.1k 0.5× 1.1k 0.5× 456 1.0× 159 1.5× 45 0.5× 49 1.6k
Pang‐Chi Hsu China 30 2.9k 1.2× 2.9k 1.2× 1.3k 2.9× 98 0.9× 27 0.3× 113 3.2k
Helen Dacre United Kingdom 25 1.8k 0.8× 1.8k 0.8× 239 0.5× 36 0.3× 57 0.7× 73 2.0k
Rosie Eade United Kingdom 24 2.6k 1.1× 2.4k 1.0× 984 2.2× 83 0.8× 24 0.3× 40 2.8k

Countries citing papers authored by Samson Hagos

Since Specialization
Citations

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

Fields of papers citing papers by Samson Hagos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samson Hagos

This figure shows the co-authorship network connecting the top 25 collaborators of Samson Hagos. A scholar is included among the top collaborators of Samson Hagos 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 Samson Hagos. Samson Hagos 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.
Chen, Jingyi, Samson Hagos, J. D. Fast, & Zhe Feng. (2025). Predicting the Evolution of Shallow Cumulus Clouds With a Lotka‐Volterra Like Model. Journal of Advances in Modeling Earth Systems. 17(2).
2.
3.
Balaguru, Karthik, et al.. (2024). Observed Increase in Tropical Cyclone‐Induced Sea Surface Cooling Near the U.S. Southeast Coast. Geophysical Research Letters. 51(14). 1 indexed citations
4.
Hagos, Samson, Po‐Lun Ma, Sandro W. Lubis, et al.. (2024). Synchronization of the Recent Decline of East African Long Rains and Northwestern Eurasian Warming. Journal of Geophysical Research Atmospheres. 129(19). 1 indexed citations
5.
Balaguru, Karthik, L. Ruby Leung, Gregory R. Foltz, et al.. (2024). A Global Increase in Nearshore Tropical Cyclone Intensification. Earth s Future. 12(5). 10 indexed citations
6.
Ray, Pallav, Jimy Dudhia, Mukul Tewari, et al.. (2024). On the Importance of Precipitation‐Induced Surface Sensible Heat Flux for Diurnal Cycle of Precipitation in the Maritime Continent. Geophysical Research Letters. 51(22).
7.
Chen, Jingyi, Samson Hagos, Heng Xiao, et al.. (2023). The Effects of Shallow Cumulus Cloud Shape on Interactions Among Clouds and Mixing With Near‐Cloud Environments. Geophysical Research Letters. 50(24). 3 indexed citations
8.
Hagos, Samson, Jia Jung, Po‐Lun Ma, et al.. (2023). East African Monsoon as a Drawbridge for the Circumnavigation of Madden–Julian Oscillation Events. Geophysical Research Letters. 50(12). 1 indexed citations
9.
Balaguru, Karthik, Wenwei Xu, L. Ruby Leung, et al.. (2023). Increased U.S. coastal hurricane risk under climate change. Science Advances. 9(14). eadf0259–eadf0259. 62 indexed citations
10.
Hagos, Samson, Zhe Feng, Sheng‐Lun Tai, & Jingyi Chen. (2023). Regional Variability in the Environmental Controls of Precipitation Regimes in the Tropics. Journal of Geophysical Research Atmospheres. 128(18).
11.
Kim, Daehyun, Daehyun Kang, Min‐Seop Ahn, et al.. (2022). The Madden–Julian Oscillation in the Energy Exascale Earth System Model Version 1. Journal of Advances in Modeling Earth Systems. 14(2). 2 indexed citations
12.
Hu, Zhiyuan, Chun Zhao, L. Ruby Leung, et al.. (2022). Characterizing the Impact of Atmospheric Rivers on Aerosols in the Western U.S.. Geophysical Research Letters. 49(7). 5 indexed citations
13.
Hagos, Samson, Jingyi Chen, Kôichi Sakaguchi, et al.. (2022). A Machine‐Learning‐Assisted Stochastic Cloud Population Model as a Parameterization of Cumulus Convection. Journal of Advances in Modeling Earth Systems. 14(7). 4 indexed citations
14.
Balaguru, Karthik, Gregory R. Foltz, L. Ruby Leung, & Samson Hagos. (2022). Impact of Rainfall on Tropical Cyclone‐Induced Sea Surface Cooling. Geophysical Research Letters. 49(10). 19 indexed citations
15.
16.
Kim, Daehyun, Daehyun Kang, Min‐Seop Ahn, et al.. (2021). The Madden-Julian Oscillation in the Energy Exascale Earth System Model Version 1. 2 indexed citations
17.
Hagos, Samson, Zhe Feng, Robert S. Plant, & Alain Protat. (2020). A Machine Learning Assisted Development of a Model for the Populations of Convective and Stratiform Clouds. Journal of Advances in Modeling Earth Systems. 12(3). 5 indexed citations
18.
Feng, Zhe, L. Ruby Leung, Robert A. Houze, et al.. (2018). Structure and Evolution of Mesoscale Convective Systems: Sensitivity to Cloud Microphysics in Convection‐Permitting Simulations Over the United States. Journal of Advances in Modeling Earth Systems. 10(7). 1470–1494. 189 indexed citations
19.
Fan, Jiwen, et al.. (2014). Roles of Wind Shear at Different Vertical Levels, Part I: Cloud System Organization and Properties. AGUFM. 2014. 1 indexed citations
20.
O’Brien, Travis, Fuyu Li, William D. Collins, et al.. (2013). Observed Scaling in Clouds and Precipitation and Scale Incognizance in Regional to Global Atmospheric Models. Journal of Climate. 26(23). 9313–9333. 48 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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