Deepak Aryal

870 total citations
38 papers, 579 citations indexed

About

Deepak Aryal is a scholar working on Atmospheric Science, Global and Planetary Change and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Deepak Aryal has authored 38 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Deepak Aryal's work include Climate variability and models (12 papers), Cryospheric studies and observations (9 papers) and Meteorological Phenomena and Simulations (5 papers). Deepak Aryal is often cited by papers focused on Climate variability and models (12 papers), Cryospheric studies and observations (9 papers) and Meteorological Phenomena and Simulations (5 papers). Deepak Aryal collaborates with scholars based in Nepal, United States and United Kingdom. Deepak Aryal's co-authors include Laxmi Prasad Devkota, Dibas Shrestha, K.-M. Lau, Can Li, Swagata Payra, N. Christina Hsu, Si‐Chee Tsay, B. N. Holben, Q. Ji and Shaun W. Bell and has published in prestigious journals such as The Science of The Total Environment, Atmospheric chemistry and physics and Bulletin of the American Meteorological Society.

In The Last Decade

Deepak Aryal

33 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Aryal Nepal 12 414 403 108 56 48 38 579
E. Vuillermoz Italy 13 819 2.0× 315 0.8× 95 0.9× 112 2.0× 33 0.7× 17 876
Paolo Stocchi Italy 13 519 1.3× 385 1.0× 38 0.4× 74 1.3× 48 1.0× 21 630
David Pritchard United Kingdom 12 367 0.9× 319 0.8× 93 0.9× 4 0.1× 24 0.5× 19 507
Michel Wortmann Germany 12 238 0.6× 292 0.7× 330 3.1× 6 0.1× 55 1.1× 23 544
Xiafang Yue China 10 269 0.6× 260 0.6× 40 0.4× 107 1.9× 218 4.5× 17 531
Kangmin Wen China 9 312 0.8× 403 1.0× 75 0.7× 47 0.8× 126 2.6× 15 540
Sunil R. Kansakar United Kingdom 7 167 0.4× 228 0.6× 164 1.5× 6 0.1× 47 1.0× 8 383
Edward Aguado United States 8 300 0.7× 258 0.6× 188 1.7× 15 0.3× 44 0.9× 12 448
Xiqiang Wang China 12 296 0.7× 138 0.3× 73 0.7× 9 0.2× 50 1.0× 31 401
Oliver Wigmore United States 9 242 0.6× 72 0.2× 86 0.8× 5 0.1× 101 2.1× 15 396

Countries citing papers authored by Deepak Aryal

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Aryal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Aryal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Aryal. A scholar is included among the top collaborators of Deepak Aryal 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 Deepak Aryal. Deepak Aryal 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.
Bhandari, Biplov, et al.. (2025). Advancing wildfire prediction in Nepal using machine learning algorithms. Environmental Research Communications. 7(5). 55003–55003. 2 indexed citations
2.
Aryal, Deepak, et al.. (2024). Hydrochemical and isotopic characteristics on the southern and northern slopes of the Himalayas: spatio-temporal controls and source apportionment. The Science of The Total Environment. 949. 175147–175147. 1 indexed citations
3.
Katsuta, Nagayoshi, et al.. (2023). Chemical processes of wintertime aerosols over the East China Sea based on aircraft and ground measurements: Comparison with the Sea of Japan. Atmospheric Pollution Research. 14(10). 101870–101870. 1 indexed citations
4.
Aryal, Deepak, et al.. (2023). Screening of Peripheral Arterial Disease in Patients with Diabetes. Journal of Nepal Health Research Council. 21(1). 46–49. 2 indexed citations
5.
Sherpa, Tenzing Chogyal, Tom Matthews, L. Baker Perry, et al.. (2023). Insights from the first winter weather observations near Mount Everest's summit. Weather. 78(12). 344–348. 4 indexed citations
6.
Sharma, Shankar, Kalpana Hamal, Binod Pokharel, et al.. (2023). Atypical forcing embedded in typical forcing leading to the extreme summer 2020 precipitation in Nepal. Climate Dynamics. 61(7-8). 3845–3856. 10 indexed citations
7.
Aryal, Deepak, et al.. (2023). Clinical Profile of Patients with Anemia in a Tertiary Care Hospital. Journal of Universal College of Medical Sciences. 11(2). 20–24.
8.
Sigdel, Madan, et al.. (2023). Influence of Southern Oscillation Index on Rainfall Variability in Nepal during Large Deficient Monsoon Years. Journal of Institute of Science and Technology. 28(1). 11–24. 3 indexed citations
9.
Sigdel, Madan, et al.. (2023). Winter drought monitoring using standard precipitation index over Nepal. Natural Hazards. 120(2). 975–988.
10.
Pokharel, Binod, Shankar Sharma, Shih‐Yu Wang, et al.. (2023). Amplified drought trends in Nepal increase the potential for Himalayan wildfires. Climatic Change. 176(2). 13 indexed citations
11.
Devkota, Lochan Prasad, et al.. (2023). Spatio-Temporal Variability of Rainfall Over Kathmandu Valley of Nepal. 11(1). 10–19. 2 indexed citations
12.
Matthews, Tom, L. Baker Perry, Dibas Shrestha, et al.. (2022). Weather Observations Reach the Summit of Mount Everest. Bulletin of the American Meteorological Society. 103(12). E2827–E2835. 3 indexed citations
13.
Matthews, Tom, L. Baker Perry, Inka Koch, et al.. (2021). Himalayan High: Weather Stations on Mount Everest Reach New Heights. Bulletin of the American Meteorological Society. 102(5). 422–428. 1 indexed citations
14.
Devkota, Laxmi Prasad, et al.. (2021). Hydrological Modeling: A Better Alternative to Empirical Methods for Monthly Flow Estimation in Ungauged Basins. Journal of Water Resource and Protection. 13(3). 254–270. 11 indexed citations
15.
Mannan, Mohammad Abdul, et al.. (2021). Simulation of Rainfall over Bangladesh Using Regional Climate Model (RegCM4.7). 1(2). 1–19. 1 indexed citations
16.
Matthews, Tom, L. Baker Perry, Timothy Lane, et al.. (2020). Into Thick(er) Air? Oxygen Availability at Humans' Physiological Frontier on Mount Everest. iScience. 23(12). 101718–101718. 13 indexed citations
17.
Perry, L. Baker, et al.. (2019). Meteorological Analysis of High Altitude Automatic Weather Station Data from the Everest Region. AGU Fall Meeting Abstracts. 2019.
18.
Aryal, Deepak, Yutaka Ishizaka, & Kikuo Okada. (2015). Aircraft Observation of Aerosol and Cloud-droplet Properties over the East China Sea Influenced by the Outflow of Asian Polluted Air. 3(1). 22–30. 1 indexed citations
19.
Aryal, Deepak, et al.. (2015). A Severe Hailstorm at Pokhara: CAPE Stability Index Calculations. 3(5). 142–153. 3 indexed citations
20.
Gautam, Ritesh, N. Christina Hsu, Si‐Chee Tsay, et al.. (2011). Accumulation of aerosols over the Indo-Gangetic plains and southern slopes of the Himalayas: distribution, properties and radiative effects during the 2009 pre-monsoon season. Atmospheric chemistry and physics. 11(24). 12841–12863. 228 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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