Ramesh P. Singh

7.9k total citations
146 papers, 6.1k citations indexed

About

Ramesh P. Singh is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ramesh P. Singh has authored 146 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Global and Planetary Change, 79 papers in Atmospheric Science and 24 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ramesh P. Singh's work include Atmospheric chemistry and aerosols (57 papers), Atmospheric aerosols and clouds (52 papers) and Atmospheric Ozone and Climate (32 papers). Ramesh P. Singh is often cited by papers focused on Atmospheric chemistry and aerosols (57 papers), Atmospheric aerosols and clouds (52 papers) and Atmospheric Ozone and Climate (32 papers). Ramesh P. Singh collaborates with scholars based in United States, India and China. Ramesh P. Singh's co-authors include Akshansha Chauhan, A. K. Prasad, S. N. Tripathi, B. N. Holben, Sagnik Dey, Dimitris G. Kaskaoutis, M. Kafatos, Sudipta Sarkar, Chunxiang Cao and Sheng Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Ramesh P. Singh

139 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh P. Singh United States 39 4.5k 3.8k 1.9k 982 294 146 6.1k
Sagnik Dey India 42 4.2k 0.9× 4.3k 1.1× 2.8k 1.5× 1.2k 1.3× 74 0.3× 177 6.6k
Carlos Pérez García‐Pando Spain 43 3.9k 0.9× 4.1k 1.1× 1.6k 0.8× 744 0.8× 82 0.3× 171 5.8k
Vimal Mishra India 61 8.2k 1.8× 3.2k 0.8× 636 0.3× 1.7k 1.7× 506 1.7× 189 10.6k
Maureen Cribb United States 42 4.2k 0.9× 4.2k 1.1× 3.0k 1.6× 1.9k 1.9× 266 0.9× 98 7.0k
Mansour Almazroui Saudi Arabia 40 4.5k 1.0× 3.3k 0.9× 504 0.3× 771 0.8× 268 0.9× 188 6.1k
Yaqiang Wang China 45 4.2k 0.9× 5.4k 1.4× 3.0k 1.6× 1.6k 1.6× 114 0.4× 194 6.7k
Ming Cai United States 37 4.7k 1.0× 3.7k 1.0× 733 0.4× 1.6k 1.6× 339 1.2× 153 6.2k
Mojtaba Sadegh United States 37 3.0k 0.7× 976 0.3× 436 0.2× 987 1.0× 399 1.4× 113 5.2k
Ariel Stein United States 30 4.6k 1.0× 6.3k 1.7× 3.3k 1.8× 1.3k 1.3× 295 1.0× 75 8.1k

Countries citing papers authored by Ramesh P. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh P. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramesh P. Singh. 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 Ramesh P. Singh. The network helps show where Ramesh P. Singh may publish in the future.

Co-authorship network of co-authors of Ramesh P. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh P. Singh. A scholar is included among the top collaborators of Ramesh P. Singh 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 Ramesh P. Singh. Ramesh P. Singh 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.
Zhou, Chao, Ying Cao, Yue Wang, et al.. (2025). Landslide susceptibility assessment of the Wanzhou district: Merging landslide susceptibility modelling (LSM) with InSAR-derived ground deformation map. International Journal of Applied Earth Observation and Geoinformation. 136. 104365–104365. 9 indexed citations
2.
Chen, Wei, Si‐Liang Li, Bach Lien Hua, et al.. (2025). Complex interactions of "water-light-heat" climatic conditions on spring phenology in the mid-high latitudes of the Northern Hemisphere. Agricultural and Forest Meteorology. 367. 110520–110520.
3.
Narayan, Jyotindra, et al.. (2025). Glacial lakes outburst susceptibility and risk in the Eastern Himalayas using analytical hierarchy process and backpropagation neural network models. Geomatics Natural Hazards and Risk. 16(1). 1 indexed citations
4.
Jing, Feng, et al.. (2024). Detection of Seismic Microwave Radiation Anomalies in Snow-Covered Mountainous Terrain: Insights From Two Recent Earthquakes in the Pamir–Tien Shan Region. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18156–18166.
5.
Chen, Wei, Tiejun Wang, Le Yu, et al.. (2024). Assessing vegetation dynamics and human impacts in natural and urban areas of China: Insights from remote sensing data. Journal of Environmental Management. 373. 123632–123632. 4 indexed citations
6.
Jing, Feng, et al.. (2023). Detection and Identification of Preseismic Thermal Anomalies in Cloudy Conditions Associated With the 2022 Luding (China) Mw 6.6 Earthquake. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 6 indexed citations
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Farahat, Ashraf, et al.. (2022). Possible Overestimation of Nitrogen Dioxide Outgassing during the Beirut 2020 Explosion. Remote Sensing. 14(24). 6377–6377.
9.
Jing, Feng, Yueren Xu, & Ramesh P. Singh. (2022). Changes in Surface Water Bodies Associated With Madoi (China) Mw 7.3 Earthquake of May 21, 2021 Using Sentinel-1 Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 8 indexed citations
10.
Jing, Feng & Ramesh P. Singh. (2022). Response of Surface and Atmospheric Parameters Associated With the Iran M 7.3 Earthquake. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 5841–5852. 10 indexed citations
11.
Jing, Feng & Ramesh P. Singh. (2021). Changes in Tropospheric Ozone Associated With Strong Earthquakes and Possible Mechanism. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 5300–5310. 19 indexed citations
12.
Meena, Sansar Raj, Kushanav Bhuyan, Akshansha Chauhan, & Ramesh P. Singh. (2021). Changes in the flood plains and water quality along the Himalayan rivers after the Chamoli disaster of 7 February 2021. International Journal of Remote Sensing. 42(18). 6984–7001. 19 indexed citations
13.
Jing, Feng, Akshansha Chauhan, Ramesh P. Singh, & Prasanjit Dash. (2020). Changes in Atmospheric, Meteorological, and Ocean Parameters Associated with the 12 January 2020 Taal Volcanic Eruption. Remote Sensing. 12(6). 1026–1026. 17 indexed citations
14.
Singh, Ramesh P., et al.. (2020). Improvement of Atmospheric Pollution in the Capital Cities of US during COVID-19. 1 indexed citations
15.
Jing, Feng, et al.. (2020). Microwave Brightness Temperature Characteristics of Three Strong Earthquakes in Sichuan Province, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 513–522. 28 indexed citations
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Sharma, Manish, Dimitris G. Kaskaoutis, Ramesh P. Singh, & Sachchidanand Singh. (2014). Seasonal Variability of Atmospheric Aerosol Parameters over Greater Noida Using Ground Sunphotometer Observations. Aerosol and Air Quality Research. 14(3). 608–622. 73 indexed citations
19.
Kaskaoutis, Dimitris G., Shailesh Kumar Kharol, P. R. Sinha, et al.. (2011). Extremely large anthropogenic aerosol component over the Bay of Bengal during winter season. 13 indexed citations
20.
Barman, S. C., Ramesh P. Singh, Mansi Negi, & Bhargava Sk. (2009). Fine particles (PM2.5) in ambient air of Lucknow city due to fireworks on Diwali festival.. PubMed. 30(5). 625–32. 34 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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