Mohammad Ali Ghorbani
- Environmental Engineering top 0.5%
- Global and Planetary Change top 2%
- Water Science and Technology top 1%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Rahman KhatibiZaher Mundher YaseenMahsa Hasanpour KashaniVahid KarimiBabak MohammadiÖzgür KişiÖzlem TerziRavinesh C. Deo
- Topics
- Hydrological Forecasting Using AI (53 papers)Hydrology and Watershed Management Studies (27 papers)Energy Load and Power Forecasting (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionScientific Reports
In The Last Decade
Mohammad Ali Ghorbani
83 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 127
- Environmental Engineering 1.8k
- Global and Planetary Change 1.0k
- Water Science and Technology 1.0k
- Artificial Intelligence 470
- Electrical and Electronic Engineering 448
Countries citing papers authored by Mohammad Ali Ghorbani
This map shows the geographic impact of Mohammad Ali Ghorbani'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 Mohammad Ali Ghorbani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ali Ghorbani more than expected).
Fields of papers citing papers by Mohammad Ali Ghorbani
This network shows the impact of papers produced by Mohammad Ali Ghorbani. 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 Mohammad Ali Ghorbani. The network helps show where Mohammad Ali Ghorbani may publish in the future.
Co-authorship network of co-authors of Mohammad Ali Ghorbani
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Ghorbani. A scholar is included among the top collaborators of Mohammad Ali Ghorbani 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 Mohammad Ali Ghorbani. Mohammad Ali Ghorbani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 41 | |
| 10 | 68 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 21 | |
| 14 | 4 | |
| 15 | 117 | |
| 16 | 95 | |
| 17 | 20 | |
| 18 | 20 | |
| 19 | Trend Analysis of Streamflows in East Azarbayjan Province | 0 |
| 20 | River Flow Forecasting using Wavelet Analysis | 1 |
About Mohammad Ali Ghorbani
Mohammad Ali Ghorbani is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 85 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (53 papers), Hydrology and Watershed Management Studies (27 papers) and Energy Load and Power Forecasting (14 papers). The work is most often cited by research in Environmental Engineering (1.8k citations), Water Science and Technology (1.0k citations) and Global and Planetary Change (1.0k citations). Mohammad Ali Ghorbani has collaborated with scholars based in Iran, India and Türkiye. Frequent co-authors include Rahman Khatibi, Zaher Mundher Yaseen, Mahsa Hasanpour Kashani, Vahid Karimi, Babak Mohammadi, Özgür Kişi, Özlem Terzi, Ravinesh C. Deo, Sungwon Kim and Jalal Shiri. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.
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.