Mohsen Nabil

897 total citations
23 papers, 590 citations indexed

About

Mohsen Nabil is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Mohsen Nabil has authored 23 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 15 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Mohsen Nabil's work include Remote Sensing in Agriculture (15 papers), Land Use and Ecosystem Services (8 papers) and Climate change impacts on agriculture (4 papers). Mohsen Nabil is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Land Use and Ecosystem Services (8 papers) and Climate change impacts on agriculture (4 papers). Mohsen Nabil collaborates with scholars based in Egypt, China and United States. Mohsen Nabil's co-authors include Bingfang Wu, Hongwei Zeng, Abdelrazek Elnashar, Lkhagvadorj Nanzad, Jiahua Zhang, Miao Zhang, Sha Zhang, Yun Bai, José Bofana and Fuyou Tian and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Mohsen Nabil

21 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohsen Nabil Egypt 12 332 324 134 113 96 23 590
Wenping Kang China 13 312 0.9× 396 1.2× 159 1.2× 111 1.0× 111 1.2× 28 708
Lingtong Du China 12 311 0.9× 571 1.8× 166 1.2× 109 1.0× 77 0.8× 48 770
Gabriel de Oliveira Brazil 18 265 0.8× 512 1.6× 81 0.6× 89 0.8× 86 0.9× 57 759
Jagath Vithanage United States 6 281 0.8× 302 0.9× 107 0.8× 110 1.0× 72 0.8× 9 518
Denise Cybis Fontana Brazil 15 377 1.1× 260 0.8× 109 0.8× 158 1.4× 93 1.0× 101 760
Malak Henchiri China 12 200 0.6× 335 1.0× 105 0.8× 72 0.6× 42 0.4× 22 486
Kathryn Semmens United States 11 246 0.7× 565 1.7× 218 1.6× 202 1.8× 62 0.6× 25 850
Youssef Lebrini Morocco 11 186 0.6× 194 0.6× 88 0.7× 98 0.9× 56 0.6× 20 387
M. Auxiliadora Casterad Spain 13 215 0.6× 205 0.6× 68 0.5× 121 1.1× 82 0.9× 18 450

Countries citing papers authored by Mohsen Nabil

Since Specialization
Citations

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

Fields of papers citing papers by Mohsen Nabil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsen Nabil

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Nabil. A scholar is included among the top collaborators of Mohsen Nabil 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 Mohsen Nabil. Mohsen Nabil 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.
Nabil, Mohsen, et al.. (2025). Exploitation of Sentinel-2 Spectral Bands and Vegetation Indices in Potato Yield Estimation. Journal of the Indian Society of Remote Sensing. 54(1). 13–31.
2.
3.
Mahmoud, Amira S., et al.. (2024). Bi-stage feature selection for crop mapping using grey wolf metaheuristic optimization. Advances in Space Research. 73(10). 5005–5016. 1 indexed citations
4.
Mokhtar, Ali, Hongming He, Mohsen Nabil, et al.. (2024). Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models. Scientific Reports. 14(1). 14699–14699. 8 indexed citations
5.
6.
Wu, Bingfang, Fuyou Tian, Mohsen Nabil, et al.. (2023). Mapping global maximum irrigation extent at 30m resolution using the irrigation performances under drought stress. Global Environmental Change. 79. 102652–102652. 21 indexed citations
7.
El-Shirbeny, Mohammed A., et al.. (2023). Analyzing satellite data time-series for agricultural expansion and its water consumption in arid region: a case study of the Farafra oasis in Egypt’s Western Desert. Euro-Mediterranean Journal for Environmental Integration. 8(1). 129–142. 3 indexed citations
8.
Zeng, Hongwei, Bingfang Wu, Abdelrazek Elnashar, et al.. (2022). Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia. Remote Sensing. 14(8). 1830–1830. 29 indexed citations
9.
Nabil, Mohsen, et al.. (2022). Tree-fruits crop type mapping from Sentinel-1 and Sentinel-2 data integration in Egypt's New Delta project. Remote Sensing Applications Society and Environment. 27. 100776–100776. 17 indexed citations
10.
Nabil, Mohsen, et al.. (2022). Impacts of land-use changes and landholding fragmentation on crop water demand and drought in Wadi El-Farigh, New Delta project, Egypt. The Egyptian Journal of Remote Sensing and Space Science. 25(3). 873–885. 4 indexed citations
11.
Nabil, Mohsen, Miao Zhang, Bingfang Wu, José Bofana, & Abdelrazek Elnashar. (2021). Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, crowdsourced, and Auxiliary Datasets. Big Earth Data. 6(1). 54–76. 15 indexed citations
12.
Zhang, Miao, Bingfang Wu, Hongwei Zeng, et al.. (2021). GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery. Earth system science data. 13(10). 4799–4817. 69 indexed citations
13.
Elnashar, Abdelrazek, et al.. (2021). Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework. The Science of The Total Environment. 793. 148466–148466. 73 indexed citations
14.
Nanzad, Lkhagvadorj, Jiahua Zhang, Batdelger Gantsetseg, et al.. (2021). Analyzing NPP Response of Different Rangeland Types to Climatic Parameters over Mongolia. Agronomy. 11(4). 647–647. 12 indexed citations
15.
Bofana, José, Miao Zhang, Bingfang Wu, et al.. (2021). How long did crops survive from floods caused by Cyclone Idai in Mozambique detected with multi-satellite data. Remote Sensing of Environment. 269. 112808–112808. 22 indexed citations
16.
Bofana, José, Miao Zhang, Mohsen Nabil, et al.. (2020). Comparison of Different Cropland Classification Methods under Diversified Agroecological Conditions in the Zambezi River Basin. Remote Sensing. 12(13). 2096–2096. 32 indexed citations
17.
Liu, Chong, Qi Zhang, Shiqi Tao, et al.. (2020). A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication. Remote Sensing of Environment. 251. 112095–112095. 60 indexed citations
18.
Nabil, Mohsen, Miao Zhang, José Bofana, et al.. (2019). Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa. International Journal of Applied Earth Observation and Geoinformation. 85. 102010–102010. 56 indexed citations
19.
Nabil, Mohsen, et al.. (2019). Classification of some strategic crops in Egypt using multi remotely sensing sensors and time series analysis. The Egyptian Journal of Remote Sensing and Space Science. 22(3). 263–270. 9 indexed citations
20.
Arafat, S. M. Yasir, et al.. (2018). Identifying Land Use Change Trends Using Multi-temporal Remote Sensing Data for the New Damietta City, Egypt. Journal of Geography Environment and Earth Science International. 14(3). 1–12. 4 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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