Sagar Parajuli

831 total citations
26 papers, 518 citations indexed

About

Sagar Parajuli is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, Sagar Parajuli has authored 26 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 20 papers in Global and Planetary Change and 8 papers in Earth-Surface Processes. Recurrent topics in Sagar Parajuli's work include Atmospheric aerosols and clouds (19 papers), Atmospheric chemistry and aerosols (16 papers) and Aeolian processes and effects (8 papers). Sagar Parajuli is often cited by papers focused on Atmospheric aerosols and clouds (19 papers), Atmospheric chemistry and aerosols (16 papers) and Aeolian processes and effects (8 papers). Sagar Parajuli collaborates with scholars based in United States, Saudi Arabia and China. Sagar Parajuli's co-authors include Zong‐Liang Yang, Georgiy Stenchikov, Charles S. Zender, Gary Kocurek, Alexander Ukhov, Hyunglok Kim, Jiangfeng Wei, Bing Pu, Illia Shevchenko and Qinjian Jin and has published in prestigious journals such as Scientific Reports, Atmospheric chemistry and physics and International Journal of Remote Sensing.

In The Last Decade

Sagar Parajuli

22 papers receiving 509 citations

Peers

Sagar Parajuli
Nasim Hossein Hamzeh‎ Iran
Fahad Alkolibi Saudi Arabia
Abbas Ranjbar Saadatabadi Iran
Sunling Gong China
Abbas Mofidi Iran
E. E. Houssos Greece
Tiangang Yuan China
Ali Hossein Mardi United States
Sabur F. Abdullaev Tajikistan
A. Zakou France
Nasim Hossein Hamzeh‎ Iran
Sagar Parajuli
Citations per year, relative to Sagar Parajuli Sagar Parajuli (= 1×) peers Nasim Hossein Hamzeh‎

Countries citing papers authored by Sagar Parajuli

Since Specialization
Citations

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

Fields of papers citing papers by Sagar Parajuli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagar Parajuli

This figure shows the co-authorship network connecting the top 25 collaborators of Sagar Parajuli. A scholar is included among the top collaborators of Sagar Parajuli 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 Sagar Parajuli. Sagar Parajuli 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.
Wu, Jianyong, et al.. (2025). Current Capabilities and Challenges of Remote Sensing in Monitoring Freshwater Cyanobacterial Blooms: A Scoping Review. Remote Sensing. 17(5). 918–918. 1 indexed citations
2.
Parajuli, Sagar, Trent Biggs, Fernando De Sales, et al.. (2024). Impact of irrigation on farmworkers’ heat stress in California differs by season and during the day and night. Communications Earth & Environment. 5(1). 4 indexed citations
3.
Sharma, Hari Prasad, Bishnu Prasad Bhattarai, Shivish Bhandari, et al.. (2024). Occurrence and temporal overlap of sympatric jungle cats and leopard cats in Parsa‒Koshi Complex, Nepal. Scientific Reports. 14(1). 2387–2387. 4 indexed citations
4.
Malik, Abdul, Georgiy Stenchikov, Suleiman Mostamandi, et al.. (2024). Accelerated Historical and Future Warming in the Middle East and North Africa. Journal of Geophysical Research Atmospheres. 129(22). 9 indexed citations
5.
Parajuli, Sagar, Georgiy Stenchikov, Alexander Ukhov, et al.. (2022). Effect of dust on rainfall over the Red Sea coast based on WRF-Chem model simulations. Atmospheric chemistry and physics. 22(13). 8659–8682. 21 indexed citations
6.
Mostamandi, Suleiman, Sergey Osipov, Olga Zolina, et al.. (2022). Reply to “Comments on ‘Sea Breeze Geoengineering to Increase Rainfall over the Arabian Red Sea Coastal Plains’”. Journal of Hydrometeorology. 23(12). 1963–1964. 3 indexed citations
7.
Lopatin, Anton, Оleg Dubovik, David Fuertes, et al.. (2021). Synergy processing of diverse ground-based remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radiosonde observations. Atmospheric measurement techniques. 14(3). 2575–2614. 46 indexed citations
8.
Mostamandi, Suleiman, Sergey Osipov, Olga Zolina, et al.. (2021). Sea Breeze Geoengineering to Increase Rainfall over the Arabian Red Sea Coastal Plains. Journal of Hydrometeorology. 23(1). 3–24. 14 indexed citations
9.
Parajuli, Sagar, Georgiy Stenchikov, Alexander Ukhov, et al.. (2020). Aerosol vertical distribution and interactions with land/sea breezes over the eastern coast of the Red Sea from lidar data and high-resolution WRF-Chem simulations. Atmospheric chemistry and physics. 20(24). 16089–16116. 29 indexed citations
10.
Lopatin, Anton, Оleg Dubovik, David Fuertes, et al.. (2020). Synergy processing of diverse ground-based remote sensing and insitu data using GRASP algorithm: applications to radiometer, lidarand radiosonde observations. Repository for Publications and Research Data (ETH Zurich). 7 indexed citations
11.
Parajuli, Sagar, Georgiy Stenchikov, Alexander Ukhov, et al.. (2020). Interaction of Dust Aerosols with Land/Sea Breezes over the Eastern Coast of the Red Sea from LIDAR Data and High-resolution WRF-Chem Simulations. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 6 indexed citations
12.
Parajuli, Sagar, Georgiy Stenchikov, Alexander Ukhov, & Hyunglok Kim. (2019). Dust Emission Modeling Using a New High‐Resolution Dust Source Function in WRF‐Chem With Implications for Air Quality. Journal of Geophysical Research Atmospheres. 124(17-18). 10109–10133. 72 indexed citations
13.
Parajuli, Sagar & Charles S. Zender. (2018). Projected changes in dust emissions and regional air quality due to the shrinking Salton Sea. Aeolian Research. 33. 82–92. 32 indexed citations
14.
Jin, Qinjian, Jiangfeng Wei, Bing Pu, Zong‐Liang Yang, & Sagar Parajuli. (2018). High Summertime Aerosol Loadings Over the Arabian Sea and Their Transport Pathways. Journal of Geophysical Research Atmospheres. 123(18). 63 indexed citations
15.
16.
Parajuli, Sagar & Charles S. Zender. (2017). Connecting geomorphology to dust emission through high-resolution mapping of global land cover and sediment supply. Aeolian Research. 27. 47–65. 46 indexed citations
17.
18.
Shi, Mingjie, et al.. (2016). Quantifying the impacts of landscape heterogeneity and model resolution on dust emissions in the Arabian Peninsula. Environmental Modelling & Software. 78. 106–119. 5 indexed citations
19.
Parajuli, Sagar, Imen Gherboudj, & Hosni Ghedira. (2013). The effect of soil moisture and wind speed on aerosol optical thickness retrieval in a desert environment using SEVIRI thermal channels. International Journal of Remote Sensing. 34(14). 5054–5071. 5 indexed citations
20.
Parajuli, Sagar, Imen Gherboudj, & Hosni Ghedira. (2012). Evaluation of the effect of soil moisture and wind speed on dust emission using aeronet, seviri, soil moisture and wind speed data. 34. 1329–1332. 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.

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