G. Mostovoy

554 total citations
13 papers, 428 citations indexed

About

G. Mostovoy is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, G. Mostovoy has authored 13 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 8 papers in Global and Planetary Change and 6 papers in Atmospheric Science. Recurrent topics in G. Mostovoy's work include Soil Moisture and Remote Sensing (4 papers), Urban Heat Island Mitigation (4 papers) and Remote Sensing in Agriculture (4 papers). G. Mostovoy is often cited by papers focused on Soil Moisture and Remote Sensing (4 papers), Urban Heat Island Mitigation (4 papers) and Remote Sensing in Agriculture (4 papers). G. Mostovoy collaborates with scholars based in United States, Canada and Russia. G. Mostovoy's co-authors include Vijaya Gopal Kakani, K. Raja Reddy, Roger L. King, Liming He, Valentine Anantharaj, J. Marshall Shepherd, Julie A. Silva, Marc L. Imhoff, Ping Zhang and Lahouari Bounoua and has published in prestigious journals such as Geophysical Research Letters, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

G. Mostovoy

13 papers receiving 417 citations

Peers

G. Mostovoy
G. Mostovoy
Citations per year, relative to G. Mostovoy G. Mostovoy (= 1×) peers Wenping Yu

Countries citing papers authored by G. Mostovoy

Since Specialization
Citations

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

Fields of papers citing papers by G. Mostovoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Mostovoy

This figure shows the co-authorship network connecting the top 25 collaborators of G. Mostovoy. A scholar is included among the top collaborators of G. Mostovoy 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 G. Mostovoy. G. Mostovoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
He, Liming, Jing M. Chen, G. Mostovoy, & Alemu Gonsamo. (2021). Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands. Geophysical Research Letters. 48(8). 8 indexed citations
2.
He, Liming, Rong Wang, G. Mostovoy, et al.. (2021). Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data. Remote Sensing. 13(4). 806–806. 19 indexed citations
3.
He, Liming & G. Mostovoy. (2019). Cotton Yield Estimate Using Sentinel-2 Data and an Ecosystem Model over the Southern US. Remote Sensing. 11(17). 2000–2000. 31 indexed citations
4.
Bounoua, Lahouari, Ping Zhang, G. Mostovoy, et al.. (2015). Impact of urbanization on US surface climate. Environmental Research Letters. 10(8). 84010–84010. 122 indexed citations
5.
Cooke, William H., G. Mostovoy, Valentine Anantharaj, & W. Matt Jolly. (2012). Wildfire Potential Mapping over the State of Mississippi: A Land Surface Modeling Approach. GIScience & Remote Sensing. 49(4). 492–509. 16 indexed citations
6.
Turk, F. Joseph, G. Mostovoy, & Valentine Anantharaj. (2009). Soil Moisture Sensitivity to NRL-Blend High-Resolution Precipitation Products: Analysis of Simulations With Two Land Surface Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 3(1). 32–48. 14 indexed citations
7.
Mostovoy, G. & Valentine Anantharaj. (2008). Observed and Simulated Soil Moisture Variability over the Lower Mississippi Delta Region. Journal of Hydrometeorology. 9(6). 1125–1150. 15 indexed citations
8.
Mostovoy, G., et al.. (2008). Interpretation of the relationship between skin temperature and vegetation fraction: Effect of subpixel soil temperature variability. International Journal of Remote Sensing. 29(10). 2819–2831. 7 indexed citations
9.
Anantharaj, Valentine, et al.. (2007). An Initial assessment of Soil Moisture Fields Simulated by the Noah Land Surface Model at Regional and Local Scales. AGU Spring Meeting Abstracts. 2007. 1 indexed citations
10.
Anantharaj, Valentine, et al.. (2006). Impact of Land Use and Land Cover Changes in the Surface Fluxes of an Atmospheric Model. 36. 2369–2372. 3 indexed citations
11.
Mostovoy, G., et al.. (2006). Statistical Estimation of Daily Maximum and Minimum Air Temperatures from MODIS LST Data over the State of Mississippi. GIScience & Remote Sensing. 43(1). 78–110. 168 indexed citations
12.
Mostovoy, G., et al.. (2005). Regional accuracy of QuikSCAT gridded winds. International Journal of Remote Sensing. 26(18). 4117–4136. 6 indexed citations
13.
Mostovoy, G., R.L. King, K. Raja Reddy, & Vijaya Gopal Kakani. (2005). Using MODIS LST data for high-resolution estimates of daily air temperature over Mississippi. 76–80. 18 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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