Redvan Ghasemlounıa

419 total citations
28 papers, 261 citations indexed

About

Redvan Ghasemlounıa is a scholar working on Environmental Engineering, Global and Planetary Change and Ecology. According to data from OpenAlex, Redvan Ghasemlounıa has authored 28 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 7 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in Redvan Ghasemlounıa's work include Hydrological Forecasting Using AI (9 papers), Flood Risk Assessment and Management (6 papers) and Energy Load and Power Forecasting (6 papers). Redvan Ghasemlounıa is often cited by papers focused on Hydrological Forecasting Using AI (9 papers), Flood Risk Assessment and Management (6 papers) and Energy Load and Power Forecasting (6 papers). Redvan Ghasemlounıa collaborates with scholars based in Türkiye, Iran and Trinidad and Tobago. Redvan Ghasemlounıa's co-authors include Amin Gharehbaghi, Farshad Ahmadi, Mohammad Albaji, Abbas Parsaie, Amir Hamzeh Haghiabi, Aaron Anil Chadee, Hazi Mohammad Azamathulla, Vishwanadham Mandala, Sarmad Dashti Latif and Babak Vaheddoost and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Redvan Ghasemlounıa

19 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Redvan Ghasemlounıa Türkiye 8 162 101 75 52 38 28 261
Amin Gharehbaghi Türkiye 11 200 1.2× 119 1.2× 90 1.2× 68 1.3× 38 1.0× 33 372
Fariborz Yosefvand Iran 12 187 1.2× 187 1.9× 81 1.1× 32 0.6× 34 0.9× 36 338
Negin Behnia Iran 6 224 1.4× 145 1.4× 101 1.3× 48 0.9× 27 0.7× 13 330
Mohammad Emami Iran 8 148 0.9× 104 1.0× 49 0.7× 40 0.8× 58 1.5× 12 306
Naser Arya Azar Iran 12 252 1.6× 178 1.8× 102 1.4× 43 0.8× 35 0.9× 17 380
Hung-Wei Tseng Taiwan 7 182 1.1× 107 1.1× 173 2.3× 51 1.0× 35 0.9× 12 348
Zahra Kayhomayoon Iran 12 222 1.4× 156 1.5× 89 1.2× 31 0.6× 29 0.8× 19 324
Fatemeh Jafari Iran 10 201 1.2× 79 0.8× 102 1.4× 41 0.8× 17 0.4× 22 383
Eyyup Ensar Başakın Türkiye 10 154 1.0× 81 0.8× 171 2.3× 76 1.5× 43 1.1× 32 371

Countries citing papers authored by Redvan Ghasemlounıa

Since Specialization
Citations

This map shows the geographic impact of Redvan Ghasemlounıa'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 Redvan Ghasemlounıa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Redvan Ghasemlounıa more than expected).

Fields of papers citing papers by Redvan Ghasemlounıa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Redvan Ghasemlounıa. 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 Redvan Ghasemlounıa. The network helps show where Redvan Ghasemlounıa may publish in the future.

Co-authorship network of co-authors of Redvan Ghasemlounıa

This figure shows the co-authorship network connecting the top 25 collaborators of Redvan Ghasemlounıa. A scholar is included among the top collaborators of Redvan Ghasemlounıa 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 Redvan Ghasemlounıa. Redvan Ghasemlounıa 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.
Gharehbaghi, Amin, Redvan Ghasemlounıa, Farshad Ahmadi, Rasoul Mirabbasi, & Ali Torabi Haghighi. (2025). Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow. Scientific Reports. 15(1). 19436–19436.
2.
3.
Ghasemlounıa, Redvan, et al.. (2024). Evaluation of Drought Using Meteorological Drought Indices, a Case Study: Alanya (Türkiye). SHILAP Revista de lepidopterología. 10(1). 192–210.
4.
Gharehbaghi, Amin, Redvan Ghasemlounıa, Babak Vaheddoost, & Farshad Ahmadi. (2024). Development of deep learning approaches for drought forecasting: a comparative study in a cold and semi-arid region. Earth Science Informatics. 18(1). 2 indexed citations
5.
Parsaie, Abbas, et al.. (2024). Novel hybrid intelligence predictive model based on successive variational mode decomposition algorithm for monthly runoff series. Journal of Hydrology. 634. 131041–131041. 26 indexed citations
6.
Gharehbaghi, Amin, Redvan Ghasemlounıa, Amir Hamzeh Haghiabi, et al.. (2023). A comparison of artificial intelligence approaches in predicting discharge coefficient of streamlined weirs. Journal of Hydroinformatics. 25(4). 1513–1530. 24 indexed citations
7.
Ghasemlounıa, Redvan, et al.. (2023). Developing a Fuzzy Inference Model for Construction Project Risk Management in Iraq. SHILAP Revista de lepidopterología. 5(3). 1–14.
8.
Gharehbaghi, Amin, Redvan Ghasemlounıa, Sarmad Dashti Latif, Amir Hamzeh Haghiabi, & Abbas Parsaie. (2023). Application of data-driven models to predict the dimensions of flow separation zone. Environmental Science and Pollution Research. 30(24). 65572–65586. 5 indexed citations
9.
Ahmadi, Farshad, Redvan Ghasemlounıa, & Amin Gharehbaghi. (2023). Machine learning approaches coupled with variational mode decomposition: a novel method for forecasting monthly reservoir inflows. Earth Science Informatics. 17(1). 745–760. 6 indexed citations
10.
Gharehbaghi, Amin & Redvan Ghasemlounıa. (2022). Application of AI Approaches to Estimate Discharge Coefficient of Novel Kind of Sharp-Crested V-Notch Weirs. Journal of Irrigation and Drainage Engineering. 148(3). 14 indexed citations
11.
Gharehbaghi, Amin, Redvan Ghasemlounıa, Farshad Ahmadi, & Mohammad Albaji. (2022). Groundwater level prediction with meteorologically sensitive Gated Recurrent Unit (GRU) neural networks. Journal of Hydrology. 612. 128262–128262. 55 indexed citations
12.
Ghasemlounıa, Redvan, et al.. (2021). Total Quality Management Benefits and Barriers in Construction Industry. International Journal of Engineering and Management Research. 11(1). 193–199. 4 indexed citations
13.
Ghasemlounıa, Redvan, et al.. (2021). Analyzing the Effectiveness of Modern Irrigation Methods in Iraq. International Journal of Engineering and Management Research. 11(3).
14.
Ghasemlounıa, Redvan, et al.. (2021). Total Quality Management Benefits and Barriers in Construction Industry. SSRN Electronic Journal. 2 indexed citations
15.
Ghasemlounıa, Redvan, et al.. (2021). Developing a novel framework for forecasting groundwater level fluctuations using Bi-directional Long Short-Term Memory (BiLSTM) deep neural network. Computers and Electronics in Agriculture. 191. 106568–106568. 54 indexed citations
16.
Ghasemlounıa, Redvan, et al.. (2021). Method of Partnership with the Private Sector in Iraq. SSRN Electronic Journal.
17.
Ghasemlounıa, Redvan, et al.. (2021). Effects of Construction Materials to Achieve Sustainable Buildings. SSRN Electronic Journal.
18.
19.
Ghasemlounıa, Redvan, et al.. (2021). Reasons for Delaying the Constriction Projects in Iraq. International Journal of Engineering and Management Research. 11(1). 129–133. 1 indexed citations
20.

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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