Ashish Sharma

1.5k total citations
48 papers, 1.0k citations indexed

About

Ashish Sharma is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Ashish Sharma has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 19 papers in Global and Planetary Change and 14 papers in Atmospheric Science. Recurrent topics in Ashish Sharma's work include Urban Heat Island Mitigation (16 papers), Climate variability and models (11 papers) and Meteorological Phenomena and Simulations (10 papers). Ashish Sharma is often cited by papers focused on Urban Heat Island Mitigation (16 papers), Climate variability and models (11 papers) and Meteorological Phenomena and Simulations (10 papers). Ashish Sharma collaborates with scholars based in United States, India and Canada. Ashish Sharma's co-authors include Harindra J. S. Fernando, Alan F. Hamlet, Jessica J. Hellmann, Fei Chen, Patrick Conry, Michael Barlage, Huei‐Ping Huang, Sergio Vera, Héctor Jorquera and Waldo Bustamante and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Atmospheric Environment.

In The Last Decade

Ashish Sharma

43 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Sharma United States 16 677 406 367 299 191 48 1.0k
Chang Cao China 15 662 1.0× 664 1.6× 468 1.3× 486 1.6× 93 0.5× 40 1.3k
H. M. Imran Bangladesh 13 820 1.2× 324 0.8× 318 0.9× 121 0.4× 162 0.8× 22 1.1k
Lorenzo Giovannini Italy 21 585 0.9× 471 1.2× 221 0.6× 519 1.7× 136 0.7× 52 1.0k
Brian Offerle United States 16 1.2k 1.8× 781 1.9× 293 0.8× 392 1.3× 324 1.7× 22 1.6k
Claire Smith United Kingdom 16 1.0k 1.5× 555 1.4× 733 2.0× 238 0.8× 271 1.4× 22 1.4k
Shudi Zuo China 14 708 1.0× 551 1.4× 614 1.7× 143 0.5× 93 0.5× 36 1.1k
Meiling Gao China 15 603 0.9× 265 0.7× 625 1.7× 403 1.3× 56 0.3× 45 1.3k
Mete Tayanç Türkiye 20 444 0.7× 502 1.2× 407 1.1× 524 1.8× 60 0.3× 40 1.1k
M. Tombrou Greece 25 841 1.2× 840 2.1× 652 1.8× 930 3.1× 261 1.4× 76 1.7k
Pouya Vahmani United States 15 517 0.8× 374 0.9× 216 0.6× 203 0.7× 185 1.0× 28 779

Countries citing papers authored by Ashish Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Sharma. A scholar is included among the top collaborators of Ashish Sharma 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 Ashish Sharma. Ashish Sharma 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.
Sharma, Ashish, Kuldip Kumar, Ana Mijić, et al.. (2025). Advancing Urban Water Resilience: Coproducing Knowledge through Civic–Academic Global Partnerships on Water and Climate. Bulletin of the American Meteorological Society. 106(6). E1098–E1107.
2.
Shaddick, Gavin, David Topping, Tristram C. Hales, et al.. (2025). Data Science and AI for Sustainable Futures: Opportunities and Challenges. Sustainability. 17(5). 2019–2019. 2 indexed citations
3.
Lee, Jangho, Aaron I. Packman, Stephen W. Nesbitt, et al.. (2025). Comparing multi-source urban flood indicators: satellite, simulation, and citizen-reported data. SHILAP Revista de lepidopterología. 1(3). 35007–35007.
4.
Sharma, Ashish, et al.. (2025). Nature-based solutions: an effective approach for flood mitigation and resilience in the Quad Cities in future climate. Hydrological Sciences Journal. 70(16). 3048–3058.
5.
Sharma, Ashish. (2025). Urban climate science needs to step out. Nature Cities. 2(7). 564–565.
6.
Yin, Yu, Peiyuan Li, Daning Huang, & Ashish Sharma. (2024). Street-level temperature estimation using graph neural networks: Performance, feature embedding and interpretability. Urban Climate. 56. 102003–102003. 5 indexed citations
7.
Meidenbauer, Kimberly Lewis, Kathryn E. Schertz, Peiyuan Li, et al.. (2024). Variable and dynamic associations between hot weather, thermal comfort, and individuals’ emotional states during summertime. BMC Psychology. 12(1). 504–504. 4 indexed citations
8.
Sharma, Ashish, et al.. (2024). Economic valuation of cultural ecosystem services: A case of tropical reservoir ecosystem. Journal of Environmental Biology. 45(5). 576–585.
9.
Li, Peiyuan & Ashish Sharma. (2024). Detailed height mapping of trees and buildings (HiTAB) in Chicago and its implications to urban climate studies. Environmental Research Letters. 19(9). 94013–94013. 2 indexed citations
10.
Li, Peiyuan, Ashish Sharma, Zhi‐Hua Wang, & Donald J. Wuebbles. (2023). Assessing Impacts of Environmental Perturbations on Urban Biogenic Carbon Exchange in the Chicago Region. Journal of Advances in Modeling Earth Systems. 15(10). 4 indexed citations
11.
Li, Peiyuan, Yu Yin, Daning Huang, Zhi‐Hua Wang, & Ashish Sharma. (2023). Regional Heatwave Prediction Using Graph Neural Network and Weather Station Data. Geophysical Research Letters. 50(7). 28 indexed citations
12.
Sharma, Ashish, et al.. (2018). Impact of land data assimilation on meteorology and air quality. EGUGA. 10704. 1 indexed citations
13.
Sharma, Ashish, et al.. (2018). Role of green roofs in reducing heat stress in vulnerable urban communities—a multidisciplinary approach. Environmental Research Letters. 13(9). 94011–94011. 57 indexed citations
14.
Pithani, Prakash, Sachin D. Ghude, Rachana Kulkarni, et al.. (2018). WRF Model Prediction of a Dense Fog Event Occurred During the Winter Fog Experiment (WIFEX). Pure and Applied Geophysics. 176(4). 1827–1846. 46 indexed citations
15.
Haritash, A. K., et al.. (2017). Phosphate uptake and translocation in a tropical Canna-based constructed wetland. Ecological Processes. 6(1). 40 indexed citations
16.
James, Scott, et al.. (2016). Investigating summer thermal stratification in Lake Ontario. Lincoln Repository (University of Lincoln). 2017. 2 indexed citations
17.
Sharma, Ashish, et al.. (2015). Nocturnal surface ozone enhancement over Portugal: Influence of different atmospheric conditions. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
18.
Sharma, Ashish, et al.. (2015). Sensitivity of WRF model to landuse, with applications to Chicago metropolitan Urban Heat Island and lake breeze. 2015 AGU Fall Meeting. 2015. 3 indexed citations
19.
Sharma, Ashish, et al.. (2011). Microfluidic Chip for Particle-Liquid Separation. 391–398. 2 indexed citations
20.
Reardon, Patrick J., et al.. (2006). Novel in-space manufacturing concepts for the development of large space telescopes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6265. 62652W–62652W. 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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