Siddarth Shankar Das

841 total citations
54 papers, 602 citations indexed

About

Siddarth Shankar Das is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Siddarth Shankar Das has authored 54 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Atmospheric Science, 32 papers in Global and Planetary Change and 22 papers in Astronomy and Astrophysics. Recurrent topics in Siddarth Shankar Das's work include Atmospheric Ozone and Climate (36 papers), Climate variability and models (22 papers) and Ionosphere and magnetosphere dynamics (21 papers). Siddarth Shankar Das is often cited by papers focused on Atmospheric Ozone and Climate (36 papers), Climate variability and models (22 papers) and Ionosphere and magnetosphere dynamics (21 papers). Siddarth Shankar Das collaborates with scholars based in India, United Kingdom and United States. Siddarth Shankar Das's co-authors include K. N. Uma, Karanam Kishore Kumar, Subrata Kumar Das, Amit Jain, M. Venkat Ratnam, T. Narayana Rao, Geetha Ramkumar, A. K. Patra, T. K. Mandal and K. V. Subrahmanyam and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Siddarth Shankar Das

50 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siddarth Shankar Das India 16 540 386 227 52 28 54 602
K. Satheesan India 15 477 0.9× 339 0.9× 202 0.9× 123 2.4× 17 0.6× 55 585
Benjamin Ruston United States 11 476 0.9× 323 0.8× 190 0.8× 200 3.8× 45 1.6× 21 607
William J. M. Seviour United Kingdom 17 693 1.3× 652 1.7× 156 0.7× 112 2.2× 24 0.9× 39 822
Andréa Pazmiño France 20 793 1.5× 669 1.7× 103 0.5× 39 0.8× 38 1.4× 70 924
Weilin Pan China 10 299 0.6× 180 0.5× 244 1.1× 21 0.4× 13 0.5× 21 400
Lars Peter Riishøjgaard United States 17 790 1.5× 729 1.9× 54 0.2× 96 1.8× 43 1.5× 36 871
K. V. Subrahmanyam India 13 392 0.7× 296 0.8× 156 0.7× 42 0.8× 20 0.7× 51 463
Martin Setvák Czechia 13 504 0.9× 466 1.2× 144 0.6× 37 0.7× 36 1.3× 22 594
K. N. Uma India 15 467 0.9× 362 0.9× 136 0.6× 51 1.0× 10 0.4× 44 506
Francis J. Schmidlin United States 11 871 1.6× 595 1.5× 331 1.5× 44 0.8× 22 0.8× 25 945

Countries citing papers authored by Siddarth Shankar Das

Since Specialization
Citations

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

Fields of papers citing papers by Siddarth Shankar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddarth Shankar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Siddarth Shankar Das. A scholar is included among the top collaborators of Siddarth Shankar 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 Siddarth Shankar Das. Siddarth Shankar 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
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Uma, K. N., et al.. (2024). Assessment of ISRO’s S-band polarimetric Doppler Weather Radar (DWR) at SHAR with IMD-DWR and GPM-Ku radar. International Journal of Remote Sensing. 45(18). 6157–6178.
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Uma, K. N., et al.. (2021). Assessment of vertical air motion among reanalyses and qualitative comparison with very-high-frequency radar measurements over two tropical stations. Atmospheric chemistry and physics. 21(3). 2083–2103. 15 indexed citations
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Das, Siddarth Shankar, et al.. (2018). Upper tropospheric ozone transport from the sub-tropics to tropics over the Indian region during Asian summer monsoon. Climate Dynamics. 52(7-8). 4567–4581. 16 indexed citations
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Das, Subrata Kumar, et al.. (2017). Investigation of Kelvin-Helmholtz Instability in the boundary layer using Doppler lidar and radiosonde data. Atmospheric Research. 202. 105–111. 6 indexed citations
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Das, Siddarth Shankar, M. Venkat Ratnam, K. N. Uma, et al.. (2016). Influence of tropical cyclones on tropospheric ozone: possible implications. Atmospheric chemistry and physics. 16(8). 4837–4847. 29 indexed citations
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Ratnam, M. Venkat, et al.. (2016). Effect of tropical cyclones on the stratosphere–troposphere exchangeobserved using satellite observations over the north Indian Ocean. Atmospheric chemistry and physics. 16(13). 8581–8591. 32 indexed citations
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Das, Subrata Kumar, Subrata Kumar Das, Siddarth Shankar Das, et al.. (2013). Descending cirrus associated with planetary scale disturbance: An observational study from lidar, radiosonde and reanalysis data. Journal of Atmospheric and Solar-Terrestrial Physics. 104. 137–147. 2 indexed citations
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Uma, K. N., Subrata Kumar Das, Siddarth Shankar Das, & Karanam Kishore Kumar. (2013). Aura-MLS Observations of Water Vapor Entering the Stratosphere over the Northern Bay of Bengal and East Equatorial Indian Ocean. Terrestrial Atmospheric and Oceanic Sciences. 24(3). 357–357. 10 indexed citations
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Das, Siddarth Shankar, Siddarth Shankar Das, Karanam Kishore Kumar, et al.. (2012). Variability of mesopause temperature derived from two independent methods using meteor radar and its comparison with SABER and EOS MLS and a collocated multi-wavelength dayglow photometer over an equatorial station, Thumba (8.5° N, 76.5° E). International Journal of Remote Sensing. 33(14). 4634–4647. 7 indexed citations
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Das, Siddarth Shankar, K. N. Uma, & Subrata Kumar Das. (2012). MST radar observations of short‐period gravity wave during overhead tropical cyclone. Radio Science. 47(2). 18 indexed citations
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Das, Siddarth Shankar, S. Sijikumar, & K. N. Uma. (2011). Further investigation on stratospheric air intrusion into the troposphere during the episode of tropical cyclone: Numerical simulation and MST radar observations. Atmospheric Research. 101(4). 928–937. 14 indexed citations
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Jain, Amit, Vivek Panwar, T. K. Mandal, et al.. (2010). Mesoscale convection system and occurrence of extreme low tropopause temperatures: observations over Asian summer monsoon region. Annales Geophysicae. 28(4). 927–940. 13 indexed citations
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Abhilash, S., K. Mohankumar, Siddarth Shankar Das, & Karanam Kishore Kumar. (2010). Vertical structure of tropical mesoscale convective systems: observations using VHF radar and cloud resolving model simulations. Meteorology and Atmospheric Physics. 109(3-4). 73–90. 4 indexed citations
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Das, Siddarth Shankar, Apurna Ghosh, K. Satheesan, Amit Jain, & K. N. Uma. (2010). Characteristics of atmospheric turbulence in terms of background atmospheric parameters inferred using MST radar at Gadanki (13.5°N, 79.2°E). Radio Science. 45(4). n/a–n/a. 13 indexed citations
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Jain, Amit, Siddarth Shankar Das, T. K. Mandal, & Abhijit Mitra. (2006). Observations of extremely low tropopause temperature over the Indian tropical region during monsoon and postmonsoon months: Possible implications. Journal of Geophysical Research Atmospheres. 111(D7). 35 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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