Saeed Samadianfard
- Environmental Engineering top 1%
- Hydrological Forecasting Using AI 30
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies 14
- Global and Planetary Change top 5%
- Plant Water Relations and Carbon Dynamics 12
- Hydrology and Drought Analysis 5
- Geochemistry and Petrology top 5%
- Soil Science top 10%
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- Precipitation Measurement and Analysis 7
- Meteorological Phenomena and Simulations 6
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- Energy Load and Power Forecasting 6
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- Hydrology and Sediment Transport Processes 5
Saeed Samadianfard
51 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 111
- Environmental Engineering 951
- Water Science and Technology 670
- Global and Planetary Change 630
- Geochemistry and Petrology 94
- Soil Science 130
Countries citing papers authored by Saeed Samadianfard
This map shows the geographic impact of Saeed Samadianfard'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 Saeed Samadianfard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Samadianfard more than expected).
Fields of papers citing papers by Saeed Samadianfard
This network shows the impact of papers produced by Saeed Samadianfard. 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 Saeed Samadianfard. The network helps show where Saeed Samadianfard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saeed Samadianfard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 15 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 72 | |
| 9 | 2020 | 41 | |
| 10 | 2020 | 86 | |
| 11 | 2020 | 130 | |
| 12 | 2020 | 246 | |
| 13 | 2020 | 21 | |
| 14 | 2019 | 63 | |
| 15 | 2019 | 149 | |
| 16 | 2019 | 65 | |
| 17 | 2019 | 74 | |
| 18 | 2018 | 6 | |
| 19 | M5 Model Tree and Gene Expression Programming Based Modeling of Sandy Soil Water Movement under Surface Drip Irrigation - TI Journals | 2014 | 8 |
| 20 | Comparative analysis of ozone level prediction models using gene expression programming and multiple linear regression | 2013 | 15 |
About Saeed Samadianfard
Saeed Samadianfard is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (30 papers), Hydrology and Watershed Management Studies (14 papers), Plant Water Relations and Carbon Dynamics (12 papers), Precipitation Measurement and Analysis (7 papers), Energy Load and Power Forecasting (6 papers), Meteorological Phenomena and Simulations (6 papers), Hydrology and Sediment Transport Processes (5 papers) and Hydrology and Drought Analysis (5 papers). The work is most often cited by research in Environmental Engineering (951 citations), Water Science and Technology (670 citations) and Global and Planetary Change (630 citations). Saeed Samadianfard has collaborated with scholars based in Iran, Vietnam and Hong Kong. Frequent co-authors include Amir Mosavi, Kwok‐wing Chau, Shahaboddin Shamshirband, Narjes Nabipour, Özgür Kişi, Esmaeil Asadi, Katayoun Kargar, Mohammad Ali Ghorbani, Sultan Noman Qasem and Sadra Shadkani.
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.