K. S. Ramasastri
- Environmental Engineering top 0.5%
- Water Science and Technology top 1%
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- K. P. SudheerP. C. NayakA. K. GosainNaresh KumarRajendra PandeyPratap SinghUmesh K. HaritashyaSumeet Mishra
- Topics
- Hydrology and Watershed Management Studies (11 papers)Hydrology and Drought Analysis (8 papers)Hydrological Forecasting Using AI (7 papers)
- Partner nations
- India
In The Last Decade
K. S. Ramasastri
20 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Environmental Engineering 1.3k
- Water Science and Technology 1.1k
- Global and Planetary Change 1.1k
- Atmospheric Science 376
- Electrical and Electronic Engineering 317
Countries citing papers authored by K. S. Ramasastri
This map shows the geographic impact of K. S. Ramasastri'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 K. S. Ramasastri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. S. Ramasastri more than expected).
Fields of papers citing papers by K. S. Ramasastri
This network shows the impact of papers produced by K. S. Ramasastri. 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 K. S. Ramasastri. The network helps show where K. S. Ramasastri may publish in the future.
Co-authorship network of co-authors of K. S. Ramasastri
This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Ramasastri. A scholar is included among the top collaborators of K. S. Ramasastri 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 K. S. Ramasastri. K. S. Ramasastri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 75 | |
| 2 | 32 | |
| 3 | 235 | |
| 4 | 1 | |
| 5 | Case study of Sonar and Bearma sub-basins of Ken basin for drought proofing analysis | 2 |
| 6 | 75 | |
| 7 | 163 | |
| 8 | A neuro-fuzzy computing technique for modeling hydrological time seriesbreakdown → | 532 |
| 9 | 233 | |
| 10 | 98 | |
| 11 | 356 | |
| 12 | 18 | |
| 13 | 72 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 21 | |
| 17 | 4 | |
| 18 | 109 | |
| 19 | 41 | |
| 20 | The climatic water balance of India (Memoirs of the India Meteorological Department) | 2 |
About K. S. Ramasastri
K. S. Ramasastri is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (11 papers), Hydrology and Drought Analysis (8 papers) and Hydrological Forecasting Using AI (7 papers). The work is most often cited by research in Environmental Engineering (1.3k citations), Water Science and Technology (1.1k citations) and Global and Planetary Change (1.1k citations). K. S. Ramasastri has collaborated with scholars based in India. Frequent co-authors include K. P. Sudheer, P. C. Nayak, A. K. Gosain, Naresh Kumar, Rajendra Pandey, Pratap Singh, Pratap Singh, Umesh K. Haritashya, Sumeet Mishra and R. D. Singh. Their work appears in journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.
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.