Edith Zagona

2.8k total citations
54 papers, 2.0k citations indexed

About

Edith Zagona is a scholar working on Water Science and Technology, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Edith Zagona has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Water Science and Technology, 29 papers in Ocean Engineering and 26 papers in Global and Planetary Change. Recurrent topics in Edith Zagona's work include Water resources management and optimization (27 papers), Hydrology and Watershed Management Studies (27 papers) and Water-Energy-Food Nexus Studies (13 papers). Edith Zagona is often cited by papers focused on Water resources management and optimization (27 papers), Hydrology and Watershed Management Studies (27 papers) and Water-Energy-Food Nexus Studies (13 papers). Edith Zagona collaborates with scholars based in United States, United Kingdom and Sudan. Edith Zagona's co-authors include Balaji Rajagopalan, Martyn Clark, Timothy Magee, Jim W. Hall, Terrance J. Fulp, Richard M. Shane, Kevin Wheeler, James Prairie, Gamal Abdo and Kenneth Nowak and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Journal of Climate.

In The Last Decade

Edith Zagona

53 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edith Zagona United States 24 1.3k 916 849 375 244 54 2.0k
Zhongjing Wang China 24 872 0.7× 792 0.9× 511 0.6× 355 0.9× 148 0.6× 109 1.8k
Sebastián Vicuña Chile 23 1.1k 0.9× 821 0.9× 692 0.8× 197 0.5× 294 1.2× 64 1.7k
Andreas Efstratiadis Greece 26 1.4k 1.1× 1.3k 1.5× 424 0.5× 499 1.3× 314 1.3× 93 2.2k
Dedi Liu China 28 1.4k 1.1× 1.1k 1.2× 719 0.8× 453 1.2× 301 1.2× 99 2.2k
David Purkey United States 15 1.1k 0.9× 628 0.7× 744 0.9× 152 0.4× 161 0.7× 39 1.5k
Naresh Devineni United States 28 974 0.8× 1.4k 1.5× 421 0.5× 335 0.9× 542 2.2× 73 2.2k
Scott Steinschneider United States 26 1.3k 1.0× 1.5k 1.6× 624 0.7× 354 0.9× 536 2.2× 120 2.3k
Evangelos Baltas Greece 22 1.1k 0.9× 1.2k 1.3× 231 0.3× 457 1.2× 375 1.5× 115 2.0k
Azadeh Ahmadi Iran 22 853 0.7× 645 0.7× 471 0.6× 644 1.7× 139 0.6× 70 1.7k
Joaquín Andreu Spain 27 1.4k 1.1× 666 0.7× 1.1k 1.3× 443 1.2× 47 0.2× 82 2.0k

Countries citing papers authored by Edith Zagona

Since Specialization
Citations

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

Fields of papers citing papers by Edith Zagona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edith Zagona

This figure shows the co-authorship network connecting the top 25 collaborators of Edith Zagona. A scholar is included among the top collaborators of Edith Zagona 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 Edith Zagona. Edith Zagona 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.
Kasprzyk, Joseph, et al.. (2025). The relative importance of model type and input features for water supply forecasting in snow-dominated basins of the southwestern US. Journal of Hydrology Regional Studies. 60. 102548–102548.
2.
Kasprzyk, Joseph, et al.. (2024). Taxonomy of purposes, methods, and recommendations for vulnerability analysis. Environmental Modelling & Software. 183. 106269–106269. 1 indexed citations
3.
Kasprzyk, Joseph, et al.. (2023). Subsampling and space-filling metrics to test ensemble size for robustness analysis with a demonstration in the Colorado River Basin. Environmental Modelling & Software. 172. 105933–105933. 4 indexed citations
4.
Kasprzyk, Joseph, et al.. (2023). Interactive and Multimetric Robustness Tradeoffs in the Colorado River Basin. Journal of Water Resources Planning and Management. 150(3). 7 indexed citations
5.
Magee, Timothy, et al.. (2022). Evaluating power grid model hydropower feasibility with a river operations model. Environmental Research Letters. 17(8). 84035–84035. 5 indexed citations
6.
Rajagopalan, Balaji, Rebecca Smith, James Prairie, et al.. (2021). Stochastic Decadal Projections of Colorado River Streamflow and Reservoir Pool Elevations Conditioned on Temperature Projections. Water Resources Research. 57(12). 11 indexed citations
7.
Basheer, Mohammed, Kevin Wheeler, Nadir Ahmed Elagib, et al.. (2020). Filling Africa’s Largest Hydropower Dam Should Consider Engineering Realities. One Earth. 3(3). 277–281. 27 indexed citations
8.
Basheer, Mohammed, et al.. (2018). Quantifying and evaluating the impacts of cooperation in transboundary river basins on the Water-Energy-Food nexus: The Blue Nile Basin. The Science of The Total Environment. 630. 1309–1323. 72 indexed citations
9.
Wheeler, Kevin, Jim W. Hall, Gamal Abdo, et al.. (2018). Exploring Cooperative Transboundary River Management Strategies for the Eastern Nile Basin. Water Resources Research. 54(11). 9224–9254. 62 indexed citations
10.
Zagona, Edith, et al.. (2017). Wavelet and Hidden Markov-Based Stochastic Simulation Methods Comparison on Colorado River Streamflow. Journal of Hydrologic Engineering. 22(9). 10 indexed citations
11.
Smith, Rebecca, Joseph Kasprzyk, & Edith Zagona. (2013). Combining Interactive Infrastructure Modeling and Evolutionary Algorithm Optimization for Sustainable Water Resources Design. AGUFM. 2013. 1 indexed citations
12.
Regonda, Satish Kumar, Edith Zagona, & Balaji Rajagopalan. (2011). Prototype Decision Support System for Operations on the Gunnison Basin with Improved Forecasts. Journal of Water Resources Planning and Management. 137(5). 428–438. 11 indexed citations
13.
Rajaram, Harihar, et al.. (2010). Incorporating Groundwater‐Surface Water Interaction into River Management Models. Ground Water. 48(5). 661–673. 24 indexed citations
14.
Zagona, Edith, et al.. (2010). SCHEDULING TVA'S RESERVOIRS WITH RIVERWARE. 1 indexed citations
15.
Rajagopalan, Balaji, et al.. (2007). Water Management Applications of Climate-Based Hydrologic Forecasts: Case Study of the Truckee-Carson River Basin. Journal of Water Resources Planning and Management. 133(4). 339–350. 21 indexed citations
16.
Rajagopalan, Balaji, et al.. (2003). Regression Model for Daily Maximum Stream Temperature. Journal of Environmental Engineering. 129(7). 667–674. 61 indexed citations
17.
Rajagopalan, Balaji, et al.. (2002). Forecasting Spring Flows on the Truckee and Carson Rivers. AGUFM. 2002. 1 indexed citations
18.
Eschenbach, Elizabeth A., et al.. (1995). Automatic Object Oriented Generation of Goal Programming Models for Multi-Reservoir Management. Computing in Civil Engineering. 384–391. 1 indexed citations
19.
Magee, Timothy, Elizabeth A. Eschenbach, & Edith Zagona. (1995). Object Oriented Optimization for Multi-Reservoir Management. 1858–1867. 1 indexed citations
20.
Shane, Richard M., et al.. (1995). Modeling Framework For Optimizing Basin Hydropower. 1868–1873. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhongjing Wang Breakdown of academic impact, for papers by Sebastián Vicuña Breakdown of academic impact, for papers by Andreas Efstratiadis Breakdown of academic impact, for papers by Dedi Liu Breakdown of academic impact, for papers by David Purkey Breakdown of academic impact, for papers by Naresh Devineni Breakdown of academic impact, for papers by Scott Steinschneider Breakdown of academic impact, for papers by Evangelos Baltas Breakdown of academic impact, for papers by Azadeh Ahmadi Breakdown of academic impact, for papers by Joaquín Andreu
Rankless by CCL
2026