S. Chaliyakunnel

1.0k total citations
8 papers, 396 citations indexed

About

S. Chaliyakunnel is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, S. Chaliyakunnel has authored 8 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in S. Chaliyakunnel's work include Atmospheric chemistry and aerosols (8 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Atmospheric Ozone and Climate (5 papers). S. Chaliyakunnel is often cited by papers focused on Atmospheric chemistry and aerosols (8 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Atmospheric Ozone and Climate (5 papers). S. Chaliyakunnel collaborates with scholars based in United States, Germany and Canada. S. Chaliyakunnel's co-authors include Dylan B. Millet, Pankaj Sadavarte, Chandra Venkataraman, Zbigniew Klimont, Randall V. Martin, Sajeev Philip, Kushal Tibrewal, Aaron Cohen, Mark W. Shephard and Katherine Walker and has published in prestigious journals such as Environmental Science & Technology, Atmospheric chemistry and physics and Journal of Geophysical Research Atmospheres.

In The Last Decade

S. Chaliyakunnel

8 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Chaliyakunnel United States 8 265 239 196 79 46 8 396
Monami Dutta India 12 202 0.8× 183 0.8× 151 0.8× 79 1.0× 20 0.4× 23 320
Sreenivas Gaddamidi India 10 241 0.9× 184 0.8× 147 0.8× 93 1.2× 18 0.4× 20 318
Luke D. Schiferl United States 10 250 0.9× 188 0.8× 131 0.7× 83 1.1× 10 0.2× 21 369
Jonathan M. Moch United States 11 416 1.6× 235 1.0× 259 1.3× 125 1.6× 9 0.2× 17 489
Liangke Liu China 8 352 1.3× 305 1.3× 156 0.8× 97 1.2× 7 0.2× 17 486
Zhining Tao United States 17 616 2.3× 406 1.7× 341 1.7× 123 1.6× 15 0.3× 39 776
Miming Zhang China 15 381 1.4× 198 0.8× 134 0.7× 80 1.0× 14 0.3× 41 477
Dien Wu United States 13 353 1.3× 440 1.8× 117 0.6× 105 1.3× 9 0.2× 25 527
Luis E. Olcese Argentina 13 213 0.8× 125 0.5× 221 1.1× 131 1.7× 45 1.0× 23 392
J. Jai Devi India 8 365 1.4× 207 0.9× 298 1.5× 85 1.1× 33 0.7× 10 469

Countries citing papers authored by S. Chaliyakunnel

Since Specialization
Citations

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

Fields of papers citing papers by S. Chaliyakunnel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Chaliyakunnel

This figure shows the co-authorship network connecting the top 25 collaborators of S. Chaliyakunnel. A scholar is included among the top collaborators of S. Chaliyakunnel 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 S. Chaliyakunnel. S. Chaliyakunnel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Selimovic, Vanessa, S. Chaliyakunnel, Catherine Wielgasz, et al.. (2022). Atmospheric biogenic volatile organic compounds in the Alaskan Arctic tundra: constraints from measurements at Toolik Field Station. Atmospheric chemistry and physics. 22(21). 14037–14058. 11 indexed citations
2.
Chaliyakunnel, S., Dylan B. Millet, & Xin Chen. (2019). Constraining Emissions of Volatile Organic Compounds Over the Indian Subcontinent Using Space‐Based Formaldehyde Measurements. Journal of Geophysical Research Atmospheres. 124(19). 10525–10545. 26 indexed citations
3.
Venkataraman, Chandra, Michael Bräuer, Kushal Tibrewal, et al.. (2018). Source influence on emission pathways and ambient PM 2.5 pollution over India (2015–2050). Atmospheric chemistry and physics. 18(11). 8017–8039. 172 indexed citations
4.
David, Liji M., A. R. Ravishankara, John K. Kodros, et al.. (2018). Aerosol Optical Depth Over India. Journal of Geophysical Research Atmospheres. 123(7). 3688–3703. 91 indexed citations
5.
Wells, Kelley C., Dylan B. Millet, Nicolas Bousserez, et al.. (2018). Top-down constraints on global N 2 O emissions at optimal resolution: application of a new dimension reduction technique. Atmospheric chemistry and physics. 18(2). 735–756. 21 indexed citations
6.
Chaliyakunnel, S., Dylan B. Millet, Kelley C. Wells, Karen Cady‐Pereira, & Mark W. Shephard. (2016). A Large Underestimate of Formic Acid from Tropical Fires: Constraints from Space-Borne Measurements. Environmental Science & Technology. 50(11). 5631–5640. 40 indexed citations
7.
Millet, Dylan B., Nicolas Bousserez, Daven K. Henze, et al.. (2015). Simulation of atmospheric N 2 O with GEOS-Chem and its adjoint: evaluation of observational constraints. Geoscientific model development. 8(10). 3179–3198. 12 indexed citations
8.
Cady‐Pereira, Karen, et al.. (2014). HCOOH measurements from space: TES retrieval algorithm and observed global distribution. Atmospheric measurement techniques. 7(7). 2297–2311. 23 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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