B.L. Madhavan

1.8k total citations
54 papers, 1.3k citations indexed

About

B.L. Madhavan is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, B.L. Madhavan has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 51 papers in Atmospheric Science and 8 papers in Environmental Engineering. Recurrent topics in B.L. Madhavan's work include Atmospheric chemistry and aerosols (48 papers), Atmospheric aerosols and clouds (47 papers) and Atmospheric Ozone and Climate (34 papers). B.L. Madhavan is often cited by papers focused on Atmospheric chemistry and aerosols (48 papers), Atmospheric aerosols and clouds (47 papers) and Atmospheric Ozone and Climate (34 papers). B.L. Madhavan collaborates with scholars based in India, United States and Germany. B.L. Madhavan's co-authors include K. Niranjan, V. Sreekanth, M. Venkat Ratnam, K. Krishna Moorthy, Chaithanya D. Jain, S. N. Tripathi, Vijayakumar S. Nair, R. Ramakrishna Reddy, S. Suresh Babu and P. K. Kunhikrishnan and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

B.L. Madhavan

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B.L. Madhavan India 20 1.1k 1.1k 394 180 78 54 1.3k
Luke Jones United Kingdom 7 776 0.7× 760 0.7× 267 0.7× 166 0.9× 54 0.7× 14 991
J. W. Hair United States 7 1.1k 1.0× 1.1k 1.0× 234 0.6× 145 0.8× 49 0.6× 14 1.3k
Mukunda M. Gogoi India 24 1.6k 1.5× 1.5k 1.4× 549 1.4× 151 0.8× 26 0.3× 84 1.8k
N. Chubarova Russia 10 1.1k 0.9× 1.2k 1.1× 198 0.5× 83 0.5× 24 0.3× 20 1.3k
Antonis Gkikas Greece 22 1.1k 1.0× 1.1k 1.1× 173 0.4× 107 0.6× 121 1.6× 61 1.3k
P. R. Sinha India 22 1.2k 1.1× 962 0.9× 494 1.3× 245 1.4× 14 0.2× 49 1.3k
Pradeep Khatri Japan 18 894 0.8× 989 0.9× 147 0.4× 103 0.6× 154 2.0× 53 1.2k
Krzysztof M. Markowicz Poland 21 1.2k 1.0× 1.2k 1.1× 230 0.6× 138 0.8× 27 0.3× 79 1.4k
S. Naseema Beegum India 14 711 0.6× 654 0.6× 218 0.6× 67 0.4× 26 0.3× 23 803
Y.J. Kim South Korea 9 471 0.4× 276 0.3× 293 0.7× 98 0.5× 43 0.6× 14 609

Countries citing papers authored by B.L. Madhavan

Since Specialization
Citations

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

Fields of papers citing papers by B.L. Madhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.L. Madhavan. 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 B.L. Madhavan. The network helps show where B.L. Madhavan may publish in the future.

Co-authorship network of co-authors of B.L. Madhavan

This figure shows the co-authorship network connecting the top 25 collaborators of B.L. Madhavan. A scholar is included among the top collaborators of B.L. Madhavan 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 B.L. Madhavan. B.L. Madhavan 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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Madhavan, B.L., et al.. (2025). Quantifying shortwave radiative forcing and heating rates of UTLS aerosols in the Asian summer monsoon anticyclone region. Journal of Quantitative Spectroscopy and Radiative Transfer. 339. 109430–109430. 1 indexed citations
6.
Madhavan, B.L., et al.. (2024). Influence of columnar versus vertical distribution of aerosol properties on the modulation of shortwave radiative effects. Journal of Quantitative Spectroscopy and Radiative Transfer. 329. 109179–109179. 6 indexed citations
7.
Ratnam, M. Venkat, et al.. (2024). Seasonal dependence of characteristics of rain drop size distribution over two different climatic zones of India. Meteorology and Atmospheric Physics. 136(2). 4 indexed citations
8.
Jain, Chaithanya D., et al.. (2024). Investigating the convective transport possibilities of lower-atmospheric pollutants to the UTLS region using rainwater and aerosol chemical characterization. Atmospheric Pollution Research. 15(9). 102225–102225. 1 indexed citations
9.
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
10.
Ratnam, M. Venkat, et al.. (2023). Changing patterns in the highly contributing aerosol types/species across the globe in the past two decades. The Science of The Total Environment. 897. 165389–165389. 3 indexed citations
11.
Madhavan, B.L., et al.. (2023). Assessing biases in atmospheric parameters for radiative effects estimation in tropical regions. Journal of Quantitative Spectroscopy and Radiative Transfer. 314. 108858–108858. 5 indexed citations
12.
Kiran, V. Ravi, M. Venkat Ratnam, Masatomo Fujiwara, et al.. (2022). Balloon-borne aerosol–cloud interaction studies (BACIS): field campaigns to understand and quantify aerosol effects on clouds. Atmospheric measurement techniques. 15(16). 4709–4734. 6 indexed citations
13.
Madhavan, B.L. & M. Venkat Ratnam. (2021). Impact of a solar eclipse on surface radiation and photovoltaic energy. Solar Energy. 223. 351–366. 12 indexed citations
14.
Kloss, Corinna, Pasquale Sellitto, Bernard Legras, et al.. (2020). Impact of the 2018 Ambae Eruption on the Global Stratospheric Aerosol Layer and Climate. Journal of Geophysical Research Atmospheres. 125(14). 27 indexed citations
15.
Jain, Chaithanya D., B.L. Madhavan, Vikas Singh, et al.. (2020). Phase-wise analysis of the COVID-19 lockdown impact on aerosol, radiation and trace gases and associated chemistry in a tropical rural environment. Environmental Research. 194. 110665–110665. 33 indexed citations
16.
Madhavan, B.L., et al.. (2017). Multiresolution analysis of the spatiotemporal variability in global radiation observed by a dense network of 99 pyranometers. Atmospheric chemistry and physics. 17(5). 3317–3338. 32 indexed citations
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Madhavan, B.L., John Kalisch, & Andreas Macke. (2016). Shortwave surface radiation network for observing small-scale cloud inhomogeneity fields. Atmospheric measurement techniques. 9(3). 1153–1166. 25 indexed citations
19.
Madhavan, B.L., et al.. (2014). Assessment of Langley and NASA-GISS Calibration Techniques for MFRSR Aerosol Retrieval. IEEE Transactions on Geoscience and Remote Sensing. 52(9). 5880–5894. 2 indexed citations
20.
Gan, Chuen‐Meei, Yonghua Wu, B.L. Madhavan, Barry Gross, & Fred Moshary. (2011). Application of active optical sensors to probe the vertical structure of the urban boundary layer and assess anomalies in air quality model PM2.5 forecasts. Atmospheric Environment. 45(37). 6613–6621. 48 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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