Hamid Mohebzadeh
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Soil Science
- Oceanography
- Co-authors
- Taesam LeePrasad DaggupatiAsim BiswasRamesh RudraEhsan OlyaieÖzgür KişiZohrab SamaniDavid W. DuBois
- Topics
- Hydrology and Watershed Management Studies (10 papers)Flood Risk Assessment and Management (7 papers)Hydrological Forecasting Using AI (6 papers)
- Partner nations
- CanadaSouth KoreaUnited States
In The Last Decade
Hamid Mohebzadeh
20 papers receiving 327 citations
Peers
Comparison fields: 5 of 49
- Environmental Engineering 204
- Water Science and Technology 192
- Global and Planetary Change 179
- Soil Science 35
- Oceanography 33
Countries citing papers authored by Hamid Mohebzadeh
This map shows the geographic impact of Hamid Mohebzadeh'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 Hamid Mohebzadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Mohebzadeh more than expected).
Fields of papers citing papers by Hamid Mohebzadeh
This network shows the impact of papers produced by Hamid Mohebzadeh. 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 Hamid Mohebzadeh. The network helps show where Hamid Mohebzadeh may publish in the future.
Co-authorship network of co-authors of Hamid Mohebzadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Mohebzadeh. A scholar is included among the top collaborators of Hamid Mohebzadeh 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 Hamid Mohebzadeh. Hamid Mohebzadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 19 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 127 | |
| 11 | 9 | |
| 12 | 17 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 37 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | Development of a Neural Network Technique for Prediction of Water Quality Parameters in the Delaware River, Pennsylvania | 22 |
| 20 | Numerical Simulation of the Flow and Contaminant Transport in Groundwater, Case Study: Nahavand Plain Aquifer | 1 |
About Hamid Mohebzadeh
Hamid Mohebzadeh is a scholar working on Water Science and Technology, Environmental Engineering and Soil Science, having authored 22 papers that have together received 330 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (7 papers) and Hydrological Forecasting Using AI (6 papers). The work is most often cited by research in Environmental Engineering (204 citations), Water Science and Technology (192 citations) and Global and Planetary Change (179 citations). Hamid Mohebzadeh has collaborated with scholars based in Canada, South Korea and United States. Frequent co-authors include Taesam Lee, Prasad Daggupati, Asim Biswas, Ramesh Rudra, Ehsan Olyaie, Özgür Kişi, Zohrab Samani, David W. DuBois, Hossein Banejad and M. H. Ghobadi. Their work appears in journals such as International Journal of Remote Sensing, Remote Sensing and Soil and Tillage Research.
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.