Ravinesh C. Deo
- Environmental Engineering top 0.02%
- Global and Planetary Change top 0.2%
- Electrical and Electronic Engineering top 1%
- Water Science and Technology top 0.1%
- Artificial Intelligence top 0.2%
- Co-authors
- Zaher Mundher YaseenMehmet ŞahinJan AdamowskiSujan GhimireQi FengNawin RajJianchun MiSancho Salcedo‐Sanz
- Topics
- Hydrological Forecasting Using AI (78 papers)Energy Load and Power Forecasting (74 papers)Solar Radiation and Photovoltaics (45 papers)
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE
In The Last Decade
Ravinesh C. Deo
297 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Environmental Engineering 5.8k
- Global and Planetary Change 4.4k
- Electrical and Electronic Engineering 3.4k
- Water Science and Technology 3.3k
- Artificial Intelligence 3.0k
Countries citing papers authored by Ravinesh C. Deo
This map shows the geographic impact of Ravinesh C. Deo'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 Ravinesh C. Deo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravinesh C. Deo more than expected).
Fields of papers citing papers by Ravinesh C. Deo
This network shows the impact of papers produced by Ravinesh C. Deo. 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 Ravinesh C. Deo. The network helps show where Ravinesh C. Deo may publish in the future.
Co-authorship network of co-authors of Ravinesh C. Deo
This figure shows the co-authorship network connecting the top 25 collaborators of Ravinesh C. Deo. A scholar is included among the top collaborators of Ravinesh C. Deo 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 Ravinesh C. Deo. Ravinesh C. Deo 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 | 2 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 20 | |
| 16 | 31 | |
| 17 | 14 | |
| 18 | 62 | |
| 19 | 33 | |
| 20 | 23 |
About Ravinesh C. Deo
Ravinesh C. Deo is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology, having authored 306 papers that have together received 14.8k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (78 papers), Energy Load and Power Forecasting (74 papers) and Solar Radiation and Photovoltaics (45 papers). The work is most often cited by research in Environmental Engineering (5.8k citations), Water Science and Technology (3.3k citations) and Global and Planetary Change (4.4k citations). Ravinesh C. Deo has collaborated with scholars based in Australia, China and Spain. Frequent co-authors include Zaher Mundher Yaseen, Mehmet Şahin, Jan Adamowski, Sujan Ghimire, Qi Feng, Nawin Raj, Jianchun Mi, Sancho Salcedo‐Sanz, Tek Maraseni and Yan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.
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.