V. Rakesh
Impact in
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Tropical and Extratropical Cyclones Research
- Global and Planetary Change top 5%
- Climate variability and models
- Atmospheric aerosols and clouds
- Flood Risk Assessment and Management
Papers in
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- Climate variability and models 28
- Atmospheric aerosols and clouds 2
-
- Meteorological Phenomena and Simulations 24
- Precipitation Measurement and Analysis 14
- Tropical and Extratropical Cyclones Research 8
- Co-authors
- P. C. Joshi (10 shared papers)Randhir Singh (9 shared papers)P. K. Pal (6 shared papers)Prashant Goswami (3 shared papers)K. V. Ramesh (3 shared papers)P. Goswami (2 shared papers)Vinod Kumar (1 shared paper)C. M. Kishtawal (1 shared paper)
In The Last Decade
V. Rakesh
30 papers receiving 352 citations
Peers
Comparison fields: 5 of 38
- Atmospheric Science 299
- Global and Planetary Change 289
- Environmental Engineering 55
- Oceanography 30
- Water Science and Technology 12
Countries citing papers authored by V. Rakesh
This map shows the geographic impact of V. Rakesh'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 V. Rakesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Rakesh more than expected).
Fields of papers citing papers by V. Rakesh
This network shows the impact of papers produced by V. Rakesh. 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 V. Rakesh. The network helps show where V. Rakesh may publish in the future.
Co-authors
The 21 scholars most cited alongside V. Rakesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 36 | |
| 2 | 2009 | 29 | |
| 3 | 2017 | 26 | |
| 4 | 2009 | 26 | |
| 5 | 2007 | 22 | |
| 6 | 2023 | 19 | |
| 7 | 2014 | 19 | |
| 8 | 2014 | 19 | |
| 9 | 2011 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2011 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2010 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2010 | 10 | |
| 18 | 2010 | 8 | |
| 19 | 2016 | 6 | |
| 20 | 2017 | 6 |
About V. Rakesh
V. Rakesh is a scholar working on Global and Planetary Change, Atmospheric Science, Oceanography, Environmental Engineering and Ecology, having authored 33 papers that have together received 356 indexed citations. Recurring topics across this work include Climate variability and models (28 papers), Meteorological Phenomena and Simulations (24 papers), Precipitation Measurement and Analysis (14 papers), Tropical and Extratropical Cyclones Research (8 papers), Ocean Waves and Remote Sensing (3 papers), Soil Moisture and Remote Sensing (2 papers), Remote Sensing in Agriculture (2 papers) and Atmospheric aerosols and clouds (2 papers). The work is most often cited by research in Atmospheric Science (299 citations), Global and Planetary Change (289 citations), Environmental Engineering (55 citations), Oceanography (30 citations) and Water Science and Technology (12 citations). V. Rakesh has collaborated with scholars based in India, Australia and Spain. Frequent co-authors include P. C. Joshi, Randhir Singh, P. K. Pal, Prashant Goswami, K. V. Ramesh, P. Goswami, Vinod Kumar, C. M. Kishtawal, K. Raghavendra Prasad and D. Bala Subrahamanyam. Their work appears in journals such as Pure and Applied Geophysics, Atmospheric Research, International Journal of Remote Sensing, Natural Hazards and Weather and Forecasting.
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.