J. R. Kulkarni
- Global and Planetary Change top 2%
- Atmospheric Science top 2%
- Astronomy and Astrophysics top 10%
- Earth-Surface Processes top 5%
- Environmental Engineering top 10%
- Co-authors
- R. S. MaheskumarThara V. PrabhaBedartha GoswamiMahen KonwarEyal FreudDaniel RosenfeldS. B. MorwalG. Pandithurai
- Topics
- Atmospheric aerosols and clouds (26 papers)Meteorological Phenomena and Simulations (25 papers)Climate variability and models (24 papers)
- Journals
- Journal of Geophysical Research AtmospheresThe Science of The Total EnvironmentGeophysical Research Letters
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
J. R. Kulkarni
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 50
- Global and Planetary Change 1.2k
- Atmospheric Science 1.1k
- Astronomy and Astrophysics 149
- Earth-Surface Processes 145
- Environmental Engineering 111
Countries citing papers authored by J. R. Kulkarni
This map shows the geographic impact of J. R. 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 J. R. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. R. Kulkarni more than expected).
Fields of papers citing papers by J. R. Kulkarni
This network shows the impact of papers produced by J. R. 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 J. R. Kulkarni. The network helps show where J. R. Kulkarni may publish in the future.
Co-authorship network of co-authors of J. R. Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Kulkarni. A scholar is included among the top collaborators of J. R. 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 J. R. Kulkarni. J. R. Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 16 | |
| 9 | 17 | |
| 10 | 37 | |
| 11 | 70 | |
| 12 | 70 | |
| 13 | Microphysics of pre-monsoon and monsoon clouds as seen from in situ measurements during CAIPEEX | 12 |
| 14 | Monsoon circulation induced variability in total column ozone over India | 16 |
| 15 | Intra-seasonal oscillations during monsoon 2002 and 2003 | 53 |
| 16 | 28 | |
| 17 | 38 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 1 |
About J. R. Kulkarni
J. R. Kulkarni is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (26 papers), Meteorological Phenomena and Simulations (25 papers) and Climate variability and models (24 papers). The work is most often cited by research in Atmospheric Science (1.1k citations), Global and Planetary Change (1.2k citations) and Earth-Surface Processes (145 citations). J. R. Kulkarni has collaborated with scholars based in India, United States and Israel. Frequent co-authors include R. S. Maheskumar, Thara V. Prabha, Bedartha Goswami, Mahen Konwar, Eyal Freud, Daniel Rosenfeld, S. B. Morwal, G. Pandithurai, B. Padmakumari and M. I. R. Tinmaker. Their work appears in journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Geophysical Research Letters.
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.