Lana El Chaar
- Electrical and Electronic Engineering top 10%
- Renewable Energy, Sustainability and the Environment top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Co-authors
- Lisa Ann LamontEhab F. El‐SaadanyTuka AlhanaiMahmoud AlahmadM. ChaabanUwe KrügerJunping ZhangQi Wang
- Topics
- Photovoltaic System Optimization Techniques (9 papers)Solar Radiation and Photovoltaics (5 papers)Microgrid Control and Optimization (5 papers)
- Cited by
- Energy Engineering and Power TechnologyRenewable Energy, Sustainability and the EnvironmentPollution
- Journals
- Renewable and Sustainable Energy ReviewsRenewable EnergyIEEE Transactions on Control Systems Technology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Lana El Chaar
29 papers receiving 721 citations
Peers
Comparison fields: 5 of 85
- Electrical and Electronic Engineering 424
- Renewable Energy, Sustainability and the Environment 298
- Control and Systems Engineering 129
- Artificial Intelligence 128
- Environmental Engineering 106
Countries citing papers authored by Lana El Chaar
This map shows the geographic impact of Lana El Chaar'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 Lana El Chaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lana El Chaar more than expected).
Fields of papers citing papers by Lana El Chaar
This network shows the impact of papers produced by Lana El Chaar. 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 Lana El Chaar. The network helps show where Lana El Chaar may publish in the future.
Co-authorship network of co-authors of Lana El Chaar
This figure shows the co-authorship network connecting the top 25 collaborators of Lana El Chaar. A scholar is included among the top collaborators of Lana El Chaar 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 Lana El Chaar. Lana El Chaar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 37 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 81 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 38 | |
| 16 | 2 | |
| 17 | 34 | |
| 18 | Modeling climate parameters for renewable energy applications in the UAE using neural networks | 5 |
| 19 | 44 | |
| 20 | 8 |
About Lana El Chaar
Lana El Chaar is a scholar working on Architecture, Energy Engineering and Power Technology and Renewable Energy, Sustainability and the Environment, having authored 30 papers that have together received 770 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (9 papers), Solar Radiation and Photovoltaics (5 papers) and Microgrid Control and Optimization (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (84 citations), Renewable Energy, Sustainability and the Environment (298 citations) and Pollution (97 citations). Lana El Chaar has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lisa Ann Lamont, Ehab F. El‐Saadany, Tuka Alhanai, Mahmoud Alahmad, M. Chaaban, Uwe Krüger, Junping Zhang, Qi Wang, Mansour Karkoub and Hany E. Z. Farag. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Renewable Energy and IEEE Transactions on Control Systems Technology.
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.