Sushant Das

1.5k total citations
44 papers, 671 citations indexed

About

Sushant Das is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sushant Das has authored 44 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 38 papers in Global and Planetary Change and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sushant Das's work include Climate variability and models (26 papers), Meteorological Phenomena and Simulations (19 papers) and Atmospheric aerosols and clouds (15 papers). Sushant Das is often cited by papers focused on Climate variability and models (26 papers), Meteorological Phenomena and Simulations (19 papers) and Atmospheric aerosols and clouds (15 papers). Sushant Das collaborates with scholars based in India, Italy and United States. Sushant Das's co-authors include Sagnik Dey, S. Dash, Graziano Giuliani, Alok Kumar Mishra, Filippo Giorgi, Suneet Dwivedi, Erika Coppola, P. Maharana, Dhirendra Kumar and Moetasim Ashfaq and has published in prestigious journals such as The Science of The Total Environment, International Journal of Remote Sensing and International Journal of Climatology.

In The Last Decade

Sushant Das

41 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sushant Das India 17 587 535 77 46 39 44 671
Marc Stéfanon France 11 607 1.0× 444 0.8× 94 1.2× 122 2.7× 33 0.8× 12 720
Xiaorui Niu China 17 647 1.1× 594 1.1× 54 0.7× 47 1.0× 49 1.3× 26 743
Fei Ge China 15 563 1.0× 475 0.9× 48 0.6× 49 1.1× 50 1.3× 27 652
Dominik L. Schumacher Switzerland 10 576 1.0× 344 0.6× 60 0.8× 92 2.0× 57 1.5× 22 703
D. B. Kiktev Russia 10 483 0.8× 416 0.8× 23 0.3× 53 1.2× 62 1.6× 26 554
Athanasios Tsikerdekis Greece 12 631 1.1× 633 1.2× 100 1.3× 62 1.3× 10 0.3× 23 746
Ghouse Basha India 9 392 0.7× 282 0.5× 54 0.7× 74 1.6× 55 1.4× 13 484
Jiří Mikšovský Czechia 14 345 0.6× 376 0.7× 59 0.8× 114 2.5× 16 0.4× 40 506
Arne Spekat Germany 10 430 0.7× 408 0.8× 61 0.8× 94 2.0× 17 0.4× 22 579
Nicolas Freychet United Kingdom 17 701 1.2× 564 1.1× 172 2.2× 86 1.9× 62 1.6× 33 804

Countries citing papers authored by Sushant Das

Since Specialization
Citations

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

Fields of papers citing papers by Sushant Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushant Das

This figure shows the co-authorship network connecting the top 25 collaborators of Sushant Das. A scholar is included among the top collaborators of Sushant Das 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 Sushant Das. Sushant Das 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.
Tiwari, Pushp Raj, et al.. (2024). On the present and future changes in Indian summer monsoon precipitation characteristics under different SSP scenarios from CMIP6 models. Climate Dynamics. 62(12). 10445–10464. 6 indexed citations
2.
Tiwari, Pushp Raj, et al.. (2024). On the heat waves over India and their future projections under different SSP scenarios from CMIP6 models. International Journal of Climatology. 44(3). 973–995. 16 indexed citations
3.
4.
Maharana, P., et al.. (2023). Projected changes in heatwaves and its impact on human discomfort over India due to global warming under the CORDEX-CORE framework. Theoretical and Applied Climatology. 155(4). 2775–2786. 9 indexed citations
5.
6.
Ghosh, Soumik, et al.. (2023). Signals of northward propagating monsoon intraseasonal oscillations (MISOs) in the RegCM4.7 CORDEX-CORE simulation over South Asia domain. Climate Dynamics. 61(7-8). 3237–3251. 1 indexed citations
7.
Dey, Sagnik, Sushant Das, Nicole Riemer, et al.. (2023). Towards an improved representation of carbonaceous aerosols over the Indian monsoon region in a regional climate model: RegCM. Geoscientific model development. 16(1). 1–15. 4 indexed citations
8.
Mishra, Alok Kumar, Aditya Kumar Dubey, & Sushant Das. (2022). Identifying the changes in winter monsoon characteristics over the Indian subcontinent due to Arabian Sea warming. Atmospheric Research. 273. 106162–106162. 9 indexed citations
9.
10.
Im, Eun‐Soon, Thanh Nguyen‐Xuan, Moetasim Ashfaq, et al.. (2021). Correction to: Emergence of robust anthropogenic increase of heat stress-related variables projected from CORDEX-CORE climate simulations. Climate Dynamics. 57(5-6). 1645–1645. 1 indexed citations
11.
Das, Sushant, Filippo Giorgi, Erika Coppola, et al.. (2021). Linkage between the absorbing aerosol-induced snow darkening effects over the Himalayas-Tibetan Plateau and the pre-monsoon climate over northern India. Theoretical and Applied Climatology. 147(3-4). 1033–1048. 9 indexed citations
12.
Torres‐Alavez, José Abraham, Russell Glazer, F. M. Giorgi, et al.. (2021). Future projections in tropical cyclone activity over multiple CORDEX domains from RegCM4 CORDEX-CORE simulations. Climate Dynamics. 57(5-6). 1507–1531. 17 indexed citations
13.
Das, Sushant, Erika Coppola, Filippo Giorgi, et al.. (2020). Future projections in the climatology of five low-level jets across different CORDEX domains. 1 indexed citations
14.
Panicker, A. S., K. Sandeep, Alok Sagar Gautam, et al.. (2020). Black carbon over a central Himalayan Glacier (Satopanth): Pathways and direct radiative impacts. The Science of The Total Environment. 766. 144242–144242. 14 indexed citations
15.
Glazer, Russell, José Abraham Torres‐Alavez, Erika Coppola, et al.. (2020). Projected changes to Severe Thunderstorm environments as a result of 21st century warming from RegCM CORDEX-CORE simulations. 4 indexed citations
16.
Panicker, A. S., V. Anil Kumar, M.P. Raju, et al.. (2020). CCN activation of carbonaceous aerosols from different combustion emissions sources: A laboratory study. Atmospheric Research. 248. 105252–105252. 9 indexed citations
17.
Das, Sushant, Sagnik Dey, & S. Dash. (2015). Direct radiative effects of anthropogenic aerosols on Indian summer monsoon circulation. Theoretical and Applied Climatology. 124(3-4). 629–639. 19 indexed citations
18.
Das, Sushant, Sagnik Dey, & S. Dash. (2013). Inter‐annual variations in natural and anthropogenic aerosol loadings over the seas adjoining India using a hybrid approach. Atmospheric Science Letters. 15(1). 58–64. 1 indexed citations
19.
Mohanty, U. C., et al.. (2003). A study on the structure of the convective atmosphere over the Bay of Bengal during BOBMEX-99. Journal of Earth System Science. 112(2). 147–163. 5 indexed citations
20.
Das, Sushant. (1999). Suggested observational network for simulation of cloud processes during INDOEX. 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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