Ramendra Prasad
Impact in
- Environmental Engineering top 1%
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies
Papers in
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- Hydrological Forecasting Using AI 19
- Air Quality Monitoring and Forecasting 4
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- Energy Load and Power Forecasting 20
- Co-authors
- Mumtaz Ali (16 shared papers)Ravinesh C. Deo (18 shared papers)Yan Li (4 shared papers)Tek Maraseni (4 shared papers)Yong Xiang (9 shared papers)Zaher Mundher Yaseen (6 shared papers)Nawin Raj (7 shared papers)Lionel Joseph (5 shared papers)
In The Last Decade
Ramendra Prasad
49 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 120
- Environmental Engineering 1.0k
- Water Science and Technology 406
- Global and Planetary Change 552
- Artificial Intelligence 585
- Management Science and Operations Research 165
Countries citing papers authored by Ramendra Prasad
This map shows the geographic impact of Ramendra Prasad'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 Ramendra Prasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramendra Prasad more than expected).
Fields of papers citing papers by Ramendra Prasad
This network shows the impact of papers produced by Ramendra Prasad. 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 Ramendra Prasad. The network helps show where Ramendra Prasad may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramendra Prasad, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2018 | 160 | |
| 3 | 2018 | 159 | |
| 4 | 2020 | 154 | |
| 5 | 2017 | 142 | |
| 6 | 2012 | 132 | |
| 7 | 2021 | 125 | |
| 8 | 2019 | 112 | |
| 9 | 2023 | 104 | |
| 10 | 2021 | 100 | |
| 11 | 2020 | 79 | |
| 12 | 2019 | 76 | |
| 13 | 2021 | 73 | |
| 14 | 2018 | 71 | |
| 15 | 2020 | 66 | |
| 16 | 2022 | 64 | |
| 17 | 2022 | 52 | |
| 18 | 2022 | 52 | |
| 19 | 2021 | 48 | |
| 20 | 2019 | 45 |
About Ramendra Prasad
Ramendra Prasad is a scholar working on Environmental Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Global and Planetary Change and Water Science and Technology, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (20 papers), Hydrological Forecasting Using AI (19 papers), Solar Radiation and Photovoltaics (14 papers), Plant Water Relations and Carbon Dynamics (6 papers), Grey System Theory Applications (5 papers), Hydrology and Watershed Management Studies (5 papers), Air Quality Monitoring and Forecasting (4 papers) and Hydrology and Drought Analysis (4 papers). The work is most often cited by research in Environmental Engineering (1.0k citations), Water Science and Technology (406 citations), Global and Planetary Change (552 citations), Artificial Intelligence (585 citations) and Management Science and Operations Research (165 citations). Ramendra Prasad has collaborated with scholars based in Fiji, Australia and Iran. Frequent co-authors include Mumtaz Ali, Ravinesh C. Deo, Yan Li, Tek Maraseni, Yong Xiang, Zaher Mundher Yaseen, Nawin Raj, Lionel Joseph, Halit Apaydın and Mohammad Taghi Sattari. Their work appears in journals such as Renewable Energy, IEEE Access, Journal of Atmospheric and Solar-Terrestrial Physics, Results in Engineering and Journal of Hydrology.
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.