Jayanta Kar

3.2k total citations · 1 hit paper
66 papers, 1.7k citations indexed

About

Jayanta Kar is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Jayanta Kar has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 41 papers in Global and Planetary Change and 20 papers in Astronomy and Astrophysics. Recurrent topics in Jayanta Kar's work include Atmospheric chemistry and aerosols (37 papers), Atmospheric aerosols and clouds (30 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Jayanta Kar is often cited by papers focused on Atmospheric chemistry and aerosols (37 papers), Atmospheric aerosols and clouds (30 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Jayanta Kar collaborates with scholars based in United States, United Kingdom and Canada. Jayanta Kar's co-authors include Mark Vaughan, Jason L. Tackett, David M. Winker, Charles R. Trepte, Ali Omar, Zhaoyan Liu, Brian Getzewich, Yongxiang Hu, Brian Magill and K. K. Mahajan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Jayanta Kar

62 papers receiving 1.6k citations

Hit Papers

The CALIPSO version 4 automated aerosol classification an... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayanta Kar United States 18 1.5k 1.4k 142 95 90 66 1.7k
J. Kazil United States 22 1.2k 0.8× 1.3k 0.9× 118 0.8× 180 1.9× 134 1.5× 42 1.4k
David P. Donovan Netherlands 23 1.6k 1.1× 1.6k 1.1× 129 0.9× 67 0.7× 98 1.1× 86 1.8k
Roland Neuber Germany 26 1.4k 1.0× 1.6k 1.1× 169 1.2× 65 0.7× 40 0.4× 104 1.7k
D. Fuà Italy 18 693 0.5× 862 0.6× 112 0.8× 42 0.4× 56 0.6× 45 958
X. Y. Zhang China 14 653 0.4× 817 0.6× 97 0.7× 332 3.5× 109 1.2× 31 1.1k
M. P. McCormick United States 14 1.5k 1.0× 1.6k 1.1× 139 1.0× 32 0.3× 45 0.5× 37 1.8k
Sylvaine Ferrachat Switzerland 19 1.5k 1.0× 1.6k 1.1× 30 0.2× 251 2.6× 129 1.4× 31 1.8k
D. E. Flittner United States 19 1.1k 0.8× 1.2k 0.9× 159 1.1× 31 0.3× 51 0.6× 57 1.4k
Klaus P. Hoinka Germany 20 1.1k 0.7× 1.2k 0.9× 170 1.2× 31 0.3× 58 0.6× 43 1.4k
Ayrton Zadra Canada 17 985 0.7× 1.1k 0.8× 94 0.7× 24 0.3× 18 0.2× 51 1.3k

Countries citing papers authored by Jayanta Kar

Since Specialization
Citations

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

Fields of papers citing papers by Jayanta Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayanta Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Jayanta Kar. A scholar is included among the top collaborators of Jayanta Kar 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 Jayanta Kar. Jayanta Kar 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.
Knepp, Travis N., L. W. Thomason, Mahesh Kovilakam, et al.. (2022). Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra. Atmospheric measurement techniques. 15(18). 5235–5260. 11 indexed citations
2.
Lu, Xiaomei, Yongxiang Hu, Ali Omar, et al.. (2021). Global Ocean Studies from CALIOP/CALIPSO by Removing Polarization Crosstalk Effects. Remote Sensing. 13(14). 2769–2769. 13 indexed citations
3.
Kar, Jayanta, Jason L. Tackett, Sharon Rodier, et al.. (2021). Multi‐Year Seasonal Trends in Sea Ice, Chlorophyll Concentration, and Marine Aerosol Optical Depth in the Bellingshausen Sea. Journal of Geophysical Research Atmospheres. 126(21). 9 indexed citations
4.
Knepp, Travis N., L. W. Thomason, Mahesh Kovilakam, et al.. (2021). Identification of Smoke and Sulfuric Acid Aerosol in SAGE III/ISS Extinction Spectra Following the 2019 Raikoke Eruption. 1 indexed citations
5.
Vaughan, Mark, Anne Garnier, Damien Josset, et al.. (2019). CALIPSO lidar calibration at 1064 nm: version 4 algorithm. Atmospheric measurement techniques. 12(1). 51–82. 55 indexed citations
6.
Zeng, Shan, Mark Vaughan, Zhaoyan Liu, et al.. (2019). Application of high-dimensional fuzzy k -means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination. Atmospheric measurement techniques. 12(4). 2261–2285. 17 indexed citations
7.
Tackett, Jason L., Jayanta Kar, Ali Omar, et al.. (2019). CALIOP View of Stratospheric Smoke Caused by 2019 Boreal Summer Wildfires. AGUFM. 2019. 1 indexed citations
8.
Kim, Man‐Hae, Ali Omar, Jason L. Tackett, et al.. (2018). The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm. Atmospheric measurement techniques. 11(11). 6107–6135. 367 indexed citations breakdown →
9.
Kar, Jayanta, Mark Vaughan, Kam-Pui Lee, et al.. (2018). CALIPSO lidar calibration at 532 nm: version 4 nighttime algorithm. Atmospheric measurement techniques. 11(3). 1459–1479. 87 indexed citations
10.
Getzewich, Brian, Mark Vaughan, William H. Hunt, et al.. (2018). CALIPSO lidar calibration at 532 nm: version 4 daytime algorithm. Atmospheric measurement techniques. 11(11). 6309–6326. 60 indexed citations
11.
Kar, Jayanta, Shan Zeng, Jason L. Tackett, et al.. (2017). Probability Density Functions for the CALIPSO Lidar Version 4 Cloud-Aerosol Discrimination (CAD) Algorithm. AGUFM. 2017.
12.
Kar, Jayanta, Mark Vaughan, Kam-Pui Lee, et al.. (2017). CALIPSO Lidar Calibration at 532 nm: Version 4 Nighttime Algorithm. 9 indexed citations
13.
Vaughan, Mark, Zhaoyan Liu, Yongxiang Hu, et al.. (2016). Cloud-Aerosol Interactions: Retrieving Aerosol Ångström Exponents from Calipso Measurements of Opaque Water Clouds. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Liu, Zhaoyan, David M. Winker, Ali Omar, et al.. (2015). Evaluation of CALIOP 532 nm aerosol optical depth over opaque water clouds. Atmospheric chemistry and physics. 15(3). 1265–1288. 50 indexed citations
15.
Liu, Zhaoyan, David M. Winker, Ali Omar, et al.. (2014). Evaluation of CALIOP 532 nm AOD over opaque water clouds. 11 indexed citations
16.
Winker, David M., Ali Omar, Mark Vaughan, et al.. (2013). Evaluation of CALIOP 532-nm AOD over Clouds. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
17.
Vaughan, Mark, Charles R. Trepte, David M. Winker, et al.. (2011). Adapting CALIPSO Climate Measurements for Near Real Time Analyses and Forecasting. 3 indexed citations
18.
Cao, Z., J. Zou, H. Bremer, et al.. (2004). MOPITT Observation of Large Horizontal Gradients of CO at the Synoptic Scale. AGU Spring Meeting Abstracts. 2004. 1 indexed citations
19.
Mahajan, K. K. & Jayanta Kar. (1990). A comparative study of Venus and Mars - Upper atmospheres, ionospheres and solar wind interactions. 19. 444–465. 1 indexed citations
20.
Mahajan, K. K., et al.. (1986). Saturn's ionosphere: further evidence of equatorial anomaly.. 15(2). 61–62.

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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