M. Sateesh

703 total citations
23 papers, 523 citations indexed

About

M. Sateesh is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, M. Sateesh has authored 23 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 18 papers in Atmospheric Science and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in M. Sateesh's work include Atmospheric aerosols and clouds (9 papers), Atmospheric chemistry and aerosols (8 papers) and Meteorological Phenomena and Simulations (8 papers). M. Sateesh is often cited by papers focused on Atmospheric aerosols and clouds (9 papers), Atmospheric chemistry and aerosols (8 papers) and Meteorological Phenomena and Simulations (8 papers). M. Sateesh collaborates with scholars based in India, Saudi Arabia and United States. M. Sateesh's co-authors include Vijay Kumar Soni, S. Tiwari, U.C. Dumka, S. D. Attri, Upal Saha, Jayant Nath Tripathi, Atar Singh Pipal, Dimitris G. Kaskaoutis, A. K. Srivastava and D. S. Bisht and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Journal of Hydrology.

In The Last Decade

M. Sateesh

23 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Sateesh India 12 392 335 215 116 36 23 523
Matthew Riley Australia 12 218 0.6× 280 0.8× 131 0.6× 86 0.7× 34 0.9× 36 416
Noelia Otero Germany 10 230 0.6× 161 0.5× 161 0.7× 93 0.8× 26 0.7× 18 390
Yining Ma China 12 236 0.6× 219 0.7× 135 0.6× 77 0.7× 17 0.5× 30 394
Monami Dutta India 12 202 0.5× 183 0.5× 151 0.7× 79 0.7× 20 0.6× 23 320
Fernando Velarde Bolivia 10 312 0.8× 259 0.8× 179 0.8× 53 0.5× 27 0.8× 24 423
Christos Giannaros Greece 13 203 0.5× 221 0.7× 182 0.8× 192 1.7× 46 1.3× 31 453
Juan Luís Garrido Spain 10 174 0.4× 203 0.6× 132 0.6× 91 0.8× 21 0.6× 18 370
Arindam Roy India 13 279 0.7× 205 0.6× 214 1.0× 95 0.8× 12 0.3× 27 462
Antônio O. Manzi Brazil 10 529 1.3× 372 1.1× 236 1.1× 69 0.6× 10 0.3× 13 611
P. N. Racherla United States 10 421 1.1× 273 0.8× 275 1.3× 46 0.4× 16 0.4× 12 526

Countries citing papers authored by M. Sateesh

Since Specialization
Citations

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

Fields of papers citing papers by M. Sateesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sateesh

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sateesh. A scholar is included among the top collaborators of M. Sateesh 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 M. Sateesh. M. Sateesh 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.
Kumar, Rajesh, Siddhartha Singh, T. K. Mandal, et al.. (2024). Hotspot driven air pollution during crop residue burning season in the Indo-Gangetic Plain, India. Environmental Pollution. 350. 124013–124013. 8 indexed citations
2.
Tripathi, Jayant Nath, et al.. (2023). Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios. Atmosphere. 14(4). 725–725. 11 indexed citations
3.
Prasad, K. B. R. R. Hari, et al.. (2023). The impact of Indian radar and lightning data assimilation on the short‐range forecasts of heavy rainfall events. Quarterly Journal of the Royal Meteorological Society. 150(759). 796–819. 3 indexed citations
4.
Tripathi, Jayant Nath, et al.. (2023). Estimation of regional-scale near real time reference evapotranspiration using remote sensing and weather data to improve agriculture advisory. Earth Science Informatics. 17(1). 679–697. 6 indexed citations
5.
Singh, Anil Kumar, et al.. (2021). Evaluation of INSAT-3D-derived Hydro-Estimator and INSAT Multi-Spectral Rain Algorithm over Tropical Cyclones. Journal of the Indian Society of Remote Sensing. 49(7). 1633–1650. 6 indexed citations
6.
Kumar, Rajesh, et al.. (2021). Drivers of air pollution variability during second wave of COVID-19 in Delhi, India. Urban Climate. 41. 101059–101059. 11 indexed citations
7.
Jayakumar, A., et al.. (2020). Assessment of the Efficacy of Lightning Forecast Over India: A Diagnostic Study. Pure and Applied Geophysics. 178(1). 205–222. 4 indexed citations
8.
Kant, Yogesh, Debashis Mitra, Atinderpal Singh, et al.. (2019). Impact of biomass burning on regional aerosol optical properties: A case study over northern India. Journal of Environmental Management. 244. 328–343. 73 indexed citations
9.
Tiwari, S., et al.. (2019). Spatial and Temporal Variation of Atmospheric Particulate Matter in Bangalore: A Technology-Intensive Region in India. Archives of Environmental Contamination and Toxicology. 77(2). 214–222. 21 indexed citations
11.
Mitra, A. K., et al.. (2019). Validating INSAT-3D atmospheric temperature retrievals over india using radiosonde measurements and other satellite observations. Meteorology and Atmospheric Physics. 132(4). 583–601. 4 indexed citations
12.
Sateesh, M., Vijay Kumar Soni, P. V. S. Raju, & V. S. Prasad. (2019). Analysis of Absorption Characteristics and Source Apportionment of Carbonaceous Aerosol in Arid Region of Western India. Earth Systems and Environment. 3(3). 551–562. 6 indexed citations
14.
Soni, Vijay Kumar, R. Bhatla, S. C. Bhan, et al.. (2018). Effect of unusual dust event on meteorological parameters & aerosol optical and radiative properties. MAUSAM. 69(2). 227–242. 8 indexed citations
15.
Singh, Anil Kumar, et al.. (2018). A Case Study: Heavy Rainfall Event Comparison Between Daily Satellite Rainfall Estimation Products with IMD Gridded Rainfall Over Peninsular India During 2015 Winter Monsoon. Journal of the Indian Society of Remote Sensing. 46(6). 927–935. 22 indexed citations
16.
Sateesh, M., et al.. (2017). Cluster analysis of aerosol properties retrieved from a sky-radiometer over a coastal site: Thiruvananthapuram, India. Atmospheric Pollution Research. 9(2). 207–219. 11 indexed citations
17.
Sateesh, M., C. V. Srinivas, & P. V. S. Raju. (2017). Numerical simulation of tropical cyclone thane: role of boundary layer and surface drag parameterization schemes. Natural Hazards. 89(3). 1255–1271. 12 indexed citations
18.
Soni, Vijay Kumar, M. Sateesh, Anand Kant Das, & S. K. Peshin. (2017). Progress in Meteorological Studies around Indian Stations in Antarctica. Revista de Fomento Social. 90(0). 16 indexed citations
19.
Dhankhar, Rajesh, et al.. (2016). Assessment of aerosols optical properties and radiative forcing over an Urban site in North-Western India. Environmental Technology. 38(10). 1232–1244. 13 indexed citations
20.
Bisht, D. S., U.C. Dumka, Dimitris G. Kaskaoutis, et al.. (2015). Carbonaceous aerosols and pollutants over Delhi urban environment: Temporal evolution, source apportionment and radiative forcing. The Science of The Total Environment. 521-522. 431–445. 162 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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