Akram Seifi
- Environmental Engineering top 2%
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Co-authors
- Majid DehghaniHossien Riahi-MadvarMohammad EhteramVijay P. SinghAmir MosaviAli Torabi HaghighiHossein Ghayoumi ZadehBahram Gharabaghi
- Topics
- Hydrological Forecasting Using AI (15 papers)Hydrology and Watershed Management Studies (8 papers)Water resources management and optimization (5 papers)
- Partner nations
- IranHungaryUnited States
In The Last Decade
Akram Seifi
28 papers receiving 703 citations
Peers
Comparison fields: 5 of 81
- Environmental Engineering 415
- Water Science and Technology 325
- Global and Planetary Change 168
- Artificial Intelligence 103
- Civil and Structural Engineering 91
Countries citing papers authored by Akram Seifi
This map shows the geographic impact of Akram Seifi'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 Akram Seifi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akram Seifi more than expected).
Fields of papers citing papers by Akram Seifi
This network shows the impact of papers produced by Akram Seifi. 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 Akram Seifi. The network helps show where Akram Seifi may publish in the future.
Co-authorship network of co-authors of Akram Seifi
This figure shows the co-authorship network connecting the top 25 collaborators of Akram Seifi. A scholar is included among the top collaborators of Akram Seifi 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 Akram Seifi. Akram Seifi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 5 | |
| 12 | 21 | |
| 13 | Irrigation Water Use Efficiency and Yield of Pistachio under Aerated Subsurface Drip Irrigation System | 2 |
| 14 | 26 | |
| 15 | 46 | |
| 16 | 103 | |
| 17 | 27 | |
| 18 | 75 | |
| 19 | 33 | |
| 20 | 71 |
About Akram Seifi
Akram Seifi is a scholar working on Environmental Engineering, Water Science and Technology and Ocean Engineering, having authored 28 papers that have together received 720 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (15 papers), Hydrology and Watershed Management Studies (8 papers) and Water resources management and optimization (5 papers). The work is most often cited by research in Environmental Engineering (415 citations), Water Science and Technology (325 citations) and Global and Planetary Change (168 citations). Akram Seifi has collaborated with scholars based in Iran, Hungary and United States. Frequent co-authors include Majid Dehghani, Hossien Riahi-Madvar, Mohammad Ehteram, Vijay P. Singh, Amir Mosavi, Vijay P. Singh, Ali Torabi Haghighi, Hossein Ghayoumi Zadeh, Bahram Gharabaghi and Ely Salwana. Their work appears in journals such as The Science of The Total Environment, Journal of Hydrology and Energy Conversion and Management.
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.