Ravinesh C. Deo

19.7k citations
306 papers · 14.8k indexed · 2 hit papers · h-index 70

Ravinesh C. Deo

297 papers receiving 14.5k citations

Hit Papers

An enhanced extreme learning machine model for river flow...5502017202620202023100200300400500

Peers

Ravinesh C. Deo
Comparison fields: 5 of 198
  • Environmental Engineering 5.8k
  • Water Science and Technology 3.3k
  • Global and Planetary Change 4.4k
  • Artificial Intelligence 3.0k
  • Soil Science 725
Replace Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ with:
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Iraq
Kwok‐wing Chau Hong Kong
Shahaboddin Shamshirband Iran
Nadhir Al‐Ansari Sweden
Ahmed El‐Shafie Malaysia
Jan Adamowski Canada
Amir Mosavi Hungary
Holger R. Maier Australia
Vahid Nourani Iran
Ali Najah Ahmed Malaysia
Ravinesh C. Deo relative to Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Iraq Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬'s profile →
Citations per field
00.5×3.5×
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ · 1×
Citations per year

Countries citing papers authored by Ravinesh C. Deo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Ravinesh C. Deo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ravinesh C. Deo Line = papers co-authored together Ravinesh C. Deo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 202415
4 20240
5 20245
6 20242
7 20242
8 20241
9 20243
10 20242
11 20242
12 20235
13 20232
14 20237
15 202320
16 202031
17 201914
18 201862
19 201833
20 201723

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), Solar Radiation and Photovoltaics (45 papers), Hydrology and Watershed Management Studies (45 papers), Climate variability and models (35 papers), Hydrology and Drought Analysis (33 papers), Flood Risk Assessment and Management (29 papers) and Aerodynamics and Acoustics in Jet Flows (16 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.

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