Ayman Nassar

493 total citations
24 papers, 338 citations indexed

About

Ayman Nassar is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Ayman Nassar has authored 24 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 11 papers in Environmental Engineering and 7 papers in Water Science and Technology. Recurrent topics in Ayman Nassar's work include Plant Water Relations and Carbon Dynamics (8 papers), Hydrology and Watershed Management Studies (7 papers) and Remote Sensing in Agriculture (6 papers). Ayman Nassar is often cited by papers focused on Plant Water Relations and Carbon Dynamics (8 papers), Hydrology and Watershed Management Studies (7 papers) and Remote Sensing in Agriculture (6 papers). Ayman Nassar collaborates with scholars based in United States, Spain and Israel. Ayman Nassar's co-authors include Ahmed E. M. Al-Juaidi, Alfonso F. Torres‐Rua, William P. Kustas, Lawrence E. Hipps, Shah Muhammad Hamdi, Soukaïna Filali Boubrahimi, Calvin Coopmans, Héctor Nieto, María Mar Alsina and Luis Sánchez and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Remote Sensing.

In The Last Decade

Ayman Nassar

21 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayman Nassar United States 8 268 134 118 71 45 24 338
Youngjoo Kwak Japan 12 246 0.9× 128 1.0× 65 0.6× 57 0.8× 19 0.4× 33 331
Yongguo Yang China 8 265 1.0× 80 0.6× 111 0.9× 69 1.0× 52 1.2× 12 359
Amanda Markert United States 9 232 0.9× 124 0.9× 108 0.9× 48 0.7× 13 0.3× 15 351
Nazmus Sazib United States 9 283 1.1× 138 1.0× 148 1.3× 82 1.2× 15 0.3× 10 460
Kavina Dayal Australia 8 309 1.2× 104 0.8× 97 0.8× 48 0.7× 25 0.6× 14 411
Dunjiang Song China 7 107 0.4× 57 0.4× 123 1.0× 84 1.2× 16 0.4× 13 310
Yelong Zeng China 10 166 0.6× 83 0.6× 123 1.0× 75 1.1× 20 0.4× 20 360
Ghali Abdullahi Abubakar China 12 307 1.1× 55 0.4× 119 1.0× 154 2.2× 54 1.2× 18 450
Vanita Pandey India 10 245 0.9× 129 1.0× 92 0.8× 27 0.4× 39 0.9× 24 357
Xikun Wei China 9 231 0.9× 93 0.7× 143 1.2× 67 0.9× 28 0.6× 17 342

Countries citing papers authored by Ayman Nassar

Since Specialization
Citations

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

Fields of papers citing papers by Ayman Nassar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayman Nassar

This figure shows the co-authorship network connecting the top 25 collaborators of Ayman Nassar. A scholar is included among the top collaborators of Ayman Nassar 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 Ayman Nassar. Ayman Nassar 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.
Nassar, Ayman, David G. Tarboton, Martha C. Anderson, et al.. (2025). Intercomparison of the U.S. National Water Model with OpenET over the Bear River Basin, U.S.. Journal of Hydrology. 656. 132826–132826.
2.
Boubrahimi, Soukaïna Filali, et al.. (2025). Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin. Hydrology. 12(3). 60–60. 3 indexed citations
3.
Boubrahimi, Soukaïna Filali, et al.. (2025). Improved Streamflow Forecasting Through SWE-Augmented Spatio-Temporal Graph Neural Networks. Hydrology. 12(10). 268–268.
4.
Boubrahimi, Soukaïna Filali, et al.. (2024). Spatiotemporal Data Augmentation of MODIS‐Landsat Water Bodies Using Adversarial Networks. Water Resources Research. 60(3). 12 indexed citations
5.
6.
Goodall, Jonathan L., Lawrence E. Band, Ayman Nassar, et al.. (2024). Toward reproducible and interoperable environmental modeling: Integration of HydroShare with server-side methods for exposing large-extent spatial datasets to models. Environmental Modelling & Software. 183. 106239–106239. 1 indexed citations
7.
8.
Nassar, Ayman, et al.. (2023). ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data. Hydrology. 10(2). 29–29. 18 indexed citations
9.
Castronova, Anthony M., Ayman Nassar, Wouter Knoben, et al.. (2023). Community Cloud Computing Infrastructure to Support Equitable Water Research and Education. Ground Water. 61(5). 612–616. 4 indexed citations
10.
Nassar, Ayman, Zhiyu Li, Anthony M. Castronova, et al.. (2023). Comparing containerization-based approaches for reproducible computational modeling of environmental systems. Environmental Modelling & Software. 167. 105760–105760. 8 indexed citations
11.
Nassar, Ayman, Alfonso F. Torres‐Rua, João Carlos Cury Saad, et al.. (2022). Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption. Irrigation Science. 40(4-5). 635–654. 11 indexed citations
12.
Nassar, Ayman, Alfonso F. Torres‐Rua, Lawrence E. Hipps, et al.. (2022). Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem. Remote Sensing. 14(2). 372–372. 11 indexed citations
13.
Nassar, Ayman, Alfonso F. Torres‐Rua, Venkatesh Merwade, et al.. (2021). Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information. PubMed. 11747. 18–18. 1 indexed citations
14.
Nassar, Ayman, Alfonso F. Torres‐Rua, William P. Kustas, et al.. (2020). Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards. PubMed. 11414. 14–14. 4 indexed citations
15.
16.
Nassar, Ayman, Alfonso F. Torres‐Rua, William P. Kustas, et al.. (2020). Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards. Remote Sensing. 12(3). 342–342. 30 indexed citations
17.
Torres‐Rua, Alfonso F., Mahyar Aboutalebi, Ayman Nassar, et al.. (2019). Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, and landsat and AggieAir optical data. PubMed. 10664. 1–1. 7 indexed citations
18.
McKee, Mac, Alfonso F. Torres‐Rua, Mahyar Aboutalebi, et al.. (2019). Challenges that beyond-visual-line-of-sight technology will create for UAS-based remote sensing in agriculture (Conference Presentation). Utah State Research and Scholarship (Utah State University). 17–17. 2 indexed citations
19.
Nassar, Ayman, Mahyar Aboutalebi, Mac McKee, Alfonso F. Torres‐Rua, & William P. Kustas. (2018). Implications of sensor inconsistencies and remote sensing error in the use of small unmanned aerial systems for generation of information products for agricultural management. PubMed. 10664. 1–1. 6 indexed citations
20.
Al-Juaidi, Ahmed E. M., et al.. (2018). Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors. Arabian Journal of Geosciences. 11(24). 169 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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