Sameer Al‐Dahidi
Impact in
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- Hybrid Renewable Energy Systems
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- Solar-Powered Water Purification Methods
Papers in
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- Solar Radiation and Photovoltaics 28
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- Energy Load and Power Forecasting 18
- Co-authors
- Mohammad Alrbai (48 shared papers)Osama Ayadi (19 shared papers)Loiy Al‐Ghussain (28 shared papers)Enrico Zio (17 shared papers)Ali Alahmer (18 shared papers)Piero Baraldi (15 shared papers)Hassan Hayajneh (13 shared papers)Bashar R. Qawasmeh (5 shared papers)
- Journals
- Sustainability (8 papers)Results in Engineering (4 papers)IEEE Access (4 papers)Energies (4 papers)Energy (4 papers)
- Partner nations
- JordanUnited StatesItaly
In The Last Decade
Sameer Al‐Dahidi
101 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Energy Engineering and Power Technology 205
- Renewable Energy, Sustainability and the Environment 667
- Artificial Intelligence 586
- Fluid Flow and Transfer Processes 92
- Automotive Engineering 165
Countries citing papers authored by Sameer Al‐Dahidi
This map shows the geographic impact of Sameer Al‐Dahidi'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 Sameer Al‐Dahidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Al‐Dahidi more than expected).
Fields of papers citing papers by Sameer Al‐Dahidi
This network shows the impact of papers produced by Sameer Al‐Dahidi. 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 Sameer Al‐Dahidi. The network helps show where Sameer Al‐Dahidi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer Al‐Dahidi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2018 | 85 | |
| 3 | 2019 | 72 | |
| 4 | 2019 | 63 | |
| 5 | 2019 | 62 | |
| 6 | 2019 | 53 | |
| 7 | 2024 | 52 | |
| 8 | 2016 | 51 | |
| 9 | 2021 | 48 | |
| 10 | 2019 | 45 | |
| 11 | 2024 | 41 | |
| 12 | 2023 | 41 | |
| 13 | 2024 | 39 | |
| 14 | 2019 | 36 | |
| 15 | 2020 | 36 | |
| 16 | 2024 | 34 | |
| 17 | 2024 | 34 | |
| 18 | 2023 | 33 | |
| 19 | 2024 | 33 | |
| 20 | 2020 | 31 |
About Sameer Al‐Dahidi
Sameer Al‐Dahidi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Mechanical Engineering and Control and Systems Engineering, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (28 papers), Photovoltaic System Optimization Techniques (24 papers), Energy Load and Power Forecasting (18 papers), Solar Thermal and Photovoltaic Systems (11 papers), Fault Detection and Control Systems (10 papers), Energy and Environment Impacts (9 papers), Hybrid Renewable Energy Systems (9 papers) and Machine Fault Diagnosis Techniques (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (205 citations), Renewable Energy, Sustainability and the Environment (667 citations), Artificial Intelligence (586 citations), Fluid Flow and Transfer Processes (92 citations) and Automotive Engineering (165 citations). Sameer Al‐Dahidi has collaborated with scholars based in Jordan, United States and Italy. Frequent co-authors include Mohammad Alrbai, Osama Ayadi, Loiy Al‐Ghussain, Enrico Zio, Ali Alahmer, Piero Baraldi, Hassan Hayajneh, Bashar R. Qawasmeh, Mohamed Louzazni and Francesco Di Maio. Their work appears in journals such as Sustainability, Results in Engineering, IEEE Access, Energies and Energy.
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.