Shantikumar S. Ningombam

705 total citations
30 papers, 392 citations indexed

About

Shantikumar S. Ningombam is a scholar working on Global and Planetary Change, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, Shantikumar S. Ningombam has authored 30 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 24 papers in Atmospheric Science and 4 papers in Astronomy and Astrophysics. Recurrent topics in Shantikumar S. Ningombam's work include Atmospheric aerosols and clouds (22 papers), Atmospheric Ozone and Climate (20 papers) and Atmospheric chemistry and aerosols (18 papers). Shantikumar S. Ningombam is often cited by papers focused on Atmospheric aerosols and clouds (22 papers), Atmospheric Ozone and Climate (20 papers) and Atmospheric chemistry and aerosols (18 papers). Shantikumar S. Ningombam collaborates with scholars based in India, United States and South Korea. Shantikumar S. Ningombam's co-authors include U.C. Dumka, Hwan‐Jin Song, S. P. Bagare, A. K. Srivastava, Sridevi Jade, Dimitris G. Kaskaoutis, Pradeep Khatri, Monica Campanelli, Byung-Ju Sohn and Vijay P. Kanawade and has published in prestigious journals such as The Science of The Total Environment, Monthly Notices of the Royal Astronomical Society and Atmospheric Environment.

In The Last Decade

Shantikumar S. Ningombam

27 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shantikumar S. Ningombam India 13 311 283 58 47 43 30 392
Julio C. Maŕın Chile 12 199 0.6× 250 0.9× 27 0.5× 56 1.2× 31 0.7× 36 381
B. Sierk Germany 10 282 0.9× 346 1.2× 38 0.7× 32 0.7× 55 1.3× 32 447
Alexander Geiß Germany 13 665 2.1× 646 2.3× 85 1.5× 19 0.4× 21 0.5× 23 740
M. Grzegorski Germany 13 603 1.9× 672 2.4× 64 1.1× 70 1.5× 58 1.3× 22 743
W. Chehade Germany 5 349 1.1× 475 1.7× 40 0.7× 39 0.8× 28 0.7× 6 534
Ronald Eixmann Germany 10 482 1.5× 494 1.7× 47 0.8× 71 1.5× 23 0.5× 16 589
V. Gorshelev Germany 5 290 0.9× 416 1.5× 39 0.7× 37 0.8× 26 0.6× 5 482
Andréa Pazmiño France 20 669 2.2× 793 2.8× 73 1.3× 103 2.2× 38 0.9× 70 924
Margarita Yela Spain 13 430 1.4× 468 1.7× 65 1.1× 32 0.7× 38 0.9× 50 534
Alberto Redondas Spain 20 714 2.3× 942 3.3× 99 1.7× 28 0.6× 83 1.9× 65 1.0k

Countries citing papers authored by Shantikumar S. Ningombam

Since Specialization
Citations

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

Fields of papers citing papers by Shantikumar S. Ningombam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shantikumar S. Ningombam. 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 Shantikumar S. Ningombam. The network helps show where Shantikumar S. Ningombam may publish in the future.

Co-authorship network of co-authors of Shantikumar S. Ningombam

This figure shows the co-authorship network connecting the top 25 collaborators of Shantikumar S. Ningombam. A scholar is included among the top collaborators of Shantikumar S. Ningombam 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 Shantikumar S. Ningombam. Shantikumar S. Ningombam 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.
Ningombam, Shantikumar S., et al.. (2025). Sensitivity analysis of aerosol optical and radiative properties over the climate sensitive Hindu Kush Himalayan region using sky radiometer observation. Atmospheric Environment. 344. 121008–121008. 1 indexed citations
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Ravindra, B., et al.. (2024). Study of Wind pattern at the incursion site of Pangong Tso near Merak Village. Experimental Astronomy. 59(1).
5.
Ningombam, Shantikumar S., et al.. (2023). Aerosol classification by application of machine learning spectral clustering algorithm. Atmospheric Pollution Research. 15(3). 102026–102026. 4 indexed citations
6.
Ningombam, Shantikumar S., et al.. (2022). Classification of MODIS fire emission data based on aerosol absorption Angstrom exponent retrieved from AERONET data. The Science of The Total Environment. 858(Pt 2). 159898–159898. 2 indexed citations
7.
Ningombam, Shantikumar S., U.C. Dumka, Jagdish Chandra Kuniyal, et al.. (2021). Impacts of Aerosol Loading in the Hindu Kush Himalayan Region Based on MERRA-2 Reanalysis Data. Atmosphere. 12(10). 1290–1290. 9 indexed citations
8.
Ningombam, Shantikumar S., et al.. (2021). Evaluation of fractional clear sky over potential astronomical sites. Monthly Notices of the Royal Astronomical Society. 507(3). 3745–3760. 13 indexed citations
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Dumka, U.C., et al.. (2020). Long-term (2008–2018) aerosol properties and radiative effect at high-altitude sites over western trans-Himalayas. The Science of The Total Environment. 734. 139354–139354. 19 indexed citations
11.
Ningombam, Shantikumar S., et al.. (2019). Effect of lower stratospheric temperature on total ozone column (TOC) during the ozone depletion and recovery phases. Atmospheric Research. 232. 104686–104686. 5 indexed citations
12.
Ningombam, Shantikumar S., et al.. (2018). Parameterization of water vapor using high-resolution GPS data and empirical models. Journal of Atmospheric and Solar-Terrestrial Physics. 168. 58–69. 10 indexed citations
13.
Ningombam, Shantikumar S., et al.. (2018). The recent signs of total column ozone recovery over mid-latitudes: The effects of the Montreal Protocol mandate. Journal of Atmospheric and Solar-Terrestrial Physics. 178. 32–46. 6 indexed citations
14.
Ningombam, Shantikumar S., et al.. (2017). Astronomical site survey report on dust measurement, wind profile, optical turbulence, and their correlation with seeing over IAO-Hanle. Experimental Astronomy. 43(2). 145–165. 10 indexed citations
15.
Campanelli, Monica, Víctor Estellés, Steve Colwell, Jonathan Shanklin, & Shantikumar S. Ningombam. (2015). Analysis of aerosol optical properties from continuous sun-sky radiometer measurements at Halley and Rothera, Antarctica over seven years. EGU General Assembly Conference Abstracts. 2768. 1 indexed citations
16.
Ningombam, Shantikumar S., et al.. (2015). Assessment of aerosol optical and micro-physical features retrieved from direct and diffuse solar irradiance measurements from Skyradiometer at a high altitude station at Merak. Environmental Science and Pollution Research. 22(21). 16610–16619. 6 indexed citations
17.
Ningombam, Shantikumar S., et al.. (2015). Validation of water vapor retrieval from Moderate Resolution Imaging Spectro-radiometer (MODIS) in near infrared channels using GPS data over IAO-Hanle, in the trans-Himalayan region. Journal of Atmospheric and Solar-Terrestrial Physics. 137. 76–85. 39 indexed citations
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Ningombam, Shantikumar S., et al.. (2014). Calibration of a Sky radiometer (Prede) using observations obtained from Hanle and Merak high-altitude stations in Ladakh. Atmospheric Research. 143. 118–128. 12 indexed citations
20.
Bagare, S. P., et al.. (2009). Aerosol optical properties retrieved using Skyradiometer at Hanle in western Himalayas. Journal of Atmospheric and Solar-Terrestrial Physics. 72(1). 115–124. 31 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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