Pavan S. Kulkarni

48 total papers · 629 total citations
29 papers, 501 citations indexed

About

Pavan S. Kulkarni is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Pavan S. Kulkarni has authored 29 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Pavan S. Kulkarni's work include Atmospheric chemistry and aerosols (22 papers), Atmospheric Ozone and Climate (21 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). Pavan S. Kulkarni is often cited by papers focused on Atmospheric chemistry and aerosols (22 papers), Atmospheric Ozone and Climate (21 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). Pavan S. Kulkarni collaborates with scholars based in India, Portugal and Italy. Pavan S. Kulkarni's co-authors include Sachin D. Ghude, Daniele Bortoli, B. C. Arya, Sameer Jain, Ana Maria Silva, Arun Kumar, Santosh H. Kulkarni, Suvarna Fadnavis, M. Antón and P. K. Dubey and has published in prestigious journals such as Remote Sensing of Environment, Atmospheric Environment and International Journal of Remote Sensing.

In The Last Decade

Pavan S. Kulkarni

28 papers receiving 479 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pavan S. Kulkarni 434 228 223 151 37 29 501
Alexandru Lupu 356 0.8× 285 1.3× 142 0.6× 109 0.7× 7 0.2× 23 495
B. de la Morena 286 0.7× 240 1.1× 88 0.4× 42 0.3× 20 0.5× 31 596
Arastoo Pour‐Biazar 508 1.2× 398 1.7× 146 0.7× 123 0.8× 18 0.5× 41 575
Gerry Bagtasa 430 1.0× 341 1.5× 111 0.5× 88 0.6× 12 0.3× 54 517
Allen Williams 404 0.9× 264 1.2× 166 0.7× 61 0.4× 36 1.0× 22 523
D. B. Jadhav 375 0.9× 262 1.1× 164 0.7× 130 0.9× 53 1.4× 33 553
Putian Zhou 410 0.9× 255 1.1× 181 0.8× 76 0.5× 59 1.6× 36 496
Sam J. Silva 295 0.7× 252 1.1× 235 1.1× 108 0.7× 58 1.6× 39 560
Gisèle Krysztofiak 404 0.9× 289 1.3× 128 0.6× 72 0.5× 14 0.4× 25 461
Tony Christian Landi 373 0.9× 312 1.4× 206 0.9× 92 0.6× 11 0.3× 30 478

Countries citing papers authored by Pavan S. Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Pavan S. Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavan S. Kulkarni

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

All Works

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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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