Ramendra Prasad

3.3k total citations
51 papers, 2.3k citations indexed

About

Ramendra Prasad is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ramendra Prasad has authored 51 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Environmental Engineering, 20 papers in Electrical and Electronic Engineering and 19 papers in Artificial Intelligence. Recurrent topics in Ramendra Prasad's work include Energy Load and Power Forecasting (20 papers), Hydrological Forecasting Using AI (19 papers) and Solar Radiation and Photovoltaics (14 papers). Ramendra Prasad is often cited by papers focused on Energy Load and Power Forecasting (20 papers), Hydrological Forecasting Using AI (19 papers) and Solar Radiation and Photovoltaics (14 papers). Ramendra Prasad collaborates with scholars based in Fiji, Australia and Iran. Ramendra Prasad's co-authors include Mumtaz Ali, Ravinesh C. Deo, Tek Maraseni, Yan Li, Yong Xiang, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Lionel Joseph, Nawin Raj, Halit Apaydın and Mohammad Taghi Sattari and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Ramendra Prasad

48 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ramendra Prasad Fiji 26 1.0k 728 577 532 403 51 2.3k
Yun Bai China 34 1.1k 1.1× 757 1.0× 441 0.8× 345 0.6× 457 1.1× 134 3.3k
Sinan Q. Salih Vietnam 36 1.2k 1.2× 510 0.7× 679 1.2× 737 1.4× 931 2.3× 79 3.2k
Sudheer Ch India 22 917 0.9× 760 1.0× 783 1.4× 426 0.8× 495 1.2× 31 2.1k
Nawin Raj Australia 24 736 0.7× 719 1.0× 716 1.2× 461 0.9× 265 0.7× 49 1.9k
Amirhosein Mosavi Iran 27 738 0.7× 205 0.3× 391 0.7× 573 1.1× 536 1.3× 69 2.7k
Mehmet Bilgili Türkiye 28 842 0.8× 1.1k 1.5× 589 1.0× 249 0.5× 151 0.4× 133 3.0k
Narjes Nabipour Vietnam 29 681 0.7× 268 0.4× 346 0.6× 746 1.4× 648 1.6× 57 2.7k
Xuefeng Chu United States 28 712 0.7× 404 0.6× 1.0k 1.8× 954 1.8× 1.5k 3.7× 131 4.2k
Hui Qin China 40 779 0.8× 2.1k 2.9× 906 1.6× 723 1.4× 1.0k 2.5× 144 4.2k
Babak Mohammadi Sweden 32 1.5k 1.5× 458 0.6× 521 0.9× 1.3k 2.5× 1.0k 2.6× 85 2.9k

Countries citing papers authored by Ramendra Prasad

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ramendra Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of Ramendra Prasad. A scholar is included among the top collaborators of Ramendra Prasad 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 Ramendra Prasad. Ramendra Prasad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Prasad, Ramendra, et al.. (2025). Development of waste management model for small island communities: a case study of Koroipita, Fiji. Environmental Science and Pollution Research. 32(34). 20360–20374.
2.
Diykh, Mohammed, Mumtaz Ali, Ramendra Prasad, et al.. (2025). Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature. Results in Engineering. 26. 104597–104597. 1 indexed citations
3.
Diykh, Mohammed, Mumtaz Ali, Mehdi Jamei, et al.. (2025). Multi-step ahead significant wave height forecasting using global and local view graph representation based on GRU model. Ocean Engineering. 340. 122314–122314.
4.
Prasad, Ramendra, et al.. (2024). Biofuels for decarbonizing land transport sector: A case study on people's perspective and policy in Fiji. Renewable Energy. 240. 122156–122156.
5.
Joseph, Lionel, Ravinesh C. Deo, David Casillas-Pérez, et al.. (2024). Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model. IEEE Access. 12. 58750–58777. 3 indexed citations
6.
Joseph, Lionel, Ravinesh C. Deo, David Casillas-Pérez, et al.. (2024). Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model. Applied Energy. 359. 122624–122624. 29 indexed citations
7.
Ali, Mumtaz, Ramendra Prasad, Salman Alamery, & Aitazaz A. Farooque. (2024). A designed predictive modelling strategy based on data decomposition and machine learning to forecast solar radiation. Results in Engineering. 24. 103607–103607. 4 indexed citations
8.
9.
Samadianfard, Saeed, et al.. (2023). Integration of fruit fly and firefly optimization algorithm with support vector regression in estimating daily pan evaporation. International Journal of Biometeorology. 68(2). 237–251. 6 indexed citations
10.
Ali, Mumtaz, Ramendra Prasad, Mehdi Jamei, et al.. (2023). Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks. Renewable Energy. 221. 119773–119773. 9 indexed citations
11.
Joseph, Lionel, Ravinesh C. Deo, Ramendra Prasad, et al.. (2023). Near real-time wind speed forecast model with bidirectional LSTM networks. Renewable Energy. 204. 39–58. 92 indexed citations
12.
Joseph, Lionel, et al.. (2022). Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture. Computers in Biology and Medicine. 151(Pt A). 106178–106178. 59 indexed citations
13.
Sharma, Ekta, Ravinesh C. Deo, Jeffrey Soar, et al.. (2022). Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots. Atmospheric Environment. 279. 119111–119111. 41 indexed citations
14.
Prasad, Ramendra, et al.. (2022). Bifacial vs monofacial grid-connected solar photovoltaic for small islands: A case study of Fiji. Renewable Energy. 203. 686–702. 17 indexed citations
15.
Sattari, Mohammad Taghi, et al.. (2022). Comprehensive review of solar radiation modeling based on artificial intelligence and optimization techniques: future concerns and considerations. Clean Technologies and Environmental Policy. 25(4). 1079–1097. 14 indexed citations
16.
Sattari, Mohammad Taghi, et al.. (2021). Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods. International Journal of Digital Earth. 14(11). 1638–1658. 11 indexed citations
17.
Sattari, Mohammad Taghi, Halit Apaydın, Shahab S. Band, Amir Mosavi, & Ramendra Prasad. (2021). Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation. Hydrology and earth system sciences. 25(2). 603–618. 69 indexed citations
18.
Sharma, Ekta, Ravinesh C. Deo, Ramendra Prasad, Alfio V. Parisi, & Nawin Raj. (2020). Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks. IEEE Access. 8. 209503–209516. 40 indexed citations
19.
Sharma, Ekta, Ravinesh C. Deo, Ramendra Prasad, & Alfio V. Parisi. (2019). A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms. The Science of The Total Environment. 709. 135934–135934. 75 indexed citations
20.
Natarajan, Prem, Shuang Wu, Shiv Vitaladevuni, et al.. (2012). Multimodal feature fusion for robust event detection in web videos. 1298–1305. 132 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yun Bai Breakdown of academic impact, for papers by Sinan Q. Salih Breakdown of academic impact, for papers by Sudheer Ch Breakdown of academic impact, for papers by Nawin Raj Breakdown of academic impact, for papers by Amirhosein Mosavi Breakdown of academic impact, for papers by Mehmet Bilgili Breakdown of academic impact, for papers by Narjes Nabipour Breakdown of academic impact, for papers by Xuefeng Chu Breakdown of academic impact, for papers by Hui Qin Breakdown of academic impact, for papers by Babak Mohammadi
Rankless by CCL
2026