Shubhangi Vaidya
- Global and Planetary Change top 10%
- Atmospheric Science top 10%
- Environmental Engineering top 10%
- Safety Research
- Oceanography
- Co-authors
- J. R. KulkarniSukhjinder SinghC. M. KishtawalT. E. NobisAdriana Beltrán‐PrzekuratMing LeiDev NiyogiRoger A. Pielke
- Topics
- Climate variability and models (10 papers)Meteorological Phenomena and Simulations (9 papers)Tropical and Extratropical Cyclones Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaAtmospheric chemistry and physicsWeather and Forecasting
- Partner nations
- IndiaUnited StatesBangladesh
In The Last Decade
Shubhangi Vaidya
18 papers receiving 302 citations
Peers
Comparison fields: 5 of 41
- Global and Planetary Change 256
- Atmospheric Science 235
- Environmental Engineering 86
- Safety Research 15
- Oceanography 12
Countries citing papers authored by Shubhangi Vaidya
This map shows the geographic impact of Shubhangi Vaidya'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 Shubhangi Vaidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubhangi Vaidya more than expected).
Fields of papers citing papers by Shubhangi Vaidya
This network shows the impact of papers produced by Shubhangi Vaidya. 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 Shubhangi Vaidya. The network helps show where Shubhangi Vaidya may publish in the future.
Co-authorship network of co-authors of Shubhangi Vaidya
This figure shows the co-authorship network connecting the top 25 collaborators of Shubhangi Vaidya. A scholar is included among the top collaborators of Shubhangi Vaidya 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 Shubhangi Vaidya. Shubhangi Vaidya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 110 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | 22 | |
| 10 | 58 | |
| 11 | 13 | |
| 12 | 25 | |
| 13 | 22 | |
| 14 | NOTES AND CORRESPONDENCE Applying the Betts-Miller-Janjic Scheme of Convection in Prediction of the Indian Monsoon | 2 |
| 15 | 8 | |
| 16 | IMPACT OF HUMIDITY DATA ON THE PREDICTION OF ONSET VORTEX WITH A LIMITED AREA MODEL | 1 |
| 17 | 4 | |
| 18 | Impact of convective transfer of heat and moisture on the prediction of monsoon depressions | 1 |
About Shubhangi Vaidya
Shubhangi Vaidya is a scholar working on Atmospheric Science, Global and Planetary Change and Safety Research, having authored 18 papers that have together received 316 indexed citations. Recurring topics across this work include Climate variability and models (10 papers), Meteorological Phenomena and Simulations (9 papers) and Tropical and Extratropical Cyclones Research (5 papers). The work is most often cited by research in Atmospheric Science (235 citations), Global and Planetary Change (256 citations) and Environmental Engineering (86 citations). Shubhangi Vaidya has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include J. R. Kulkarni, Sukhjinder Singh, C. M. Kishtawal, T. E. Nobis, Adriana Beltrán‐Przekurat, Ming Lei, Dev Niyogi, Roger A. Pielke, P. Mukhopadhyay and J. Sanjay. Their work appears in journals such as SHILAP Revista de lepidopterología, Atmospheric chemistry and physics 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.