Mohamed Abuella
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Management Science and Operations Research
- Control and Systems Engineering
- Topics
- Solar Radiation and Photovoltaics (8 papers)Energy Load and Power Forecasting (7 papers)Electric Power System Optimization (4 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceElectrical and Electronic Engineering
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Mohamed Abuella
10 papers receiving 232 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 190
- Artificial Intelligence 187
- Renewable Energy, Sustainability and the Environment 127
- Management Science and Operations Research 22
- Control and Systems Engineering 19
Countries citing papers authored by Mohamed Abuella
This map shows the geographic impact of Mohamed Abuella'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 Mohamed Abuella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Abuella more than expected).
Fields of papers citing papers by Mohamed Abuella
This network shows the impact of papers produced by Mohamed Abuella. 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 Mohamed Abuella. The network helps show where Mohamed Abuella may publish in the future.
Co-authorship network of co-authors of Mohamed Abuella
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Abuella. A scholar is included among the top collaborators of Mohamed Abuella 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 Mohamed Abuella. Mohamed Abuella 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 | 1 | |
| 3 | 17 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 39 | |
| 7 | 13 | |
| 8 | 83 | |
| 9 | 79 | |
| 10 | STUDY OF PARTICLE SWARM FOR OPTIMAL POWER FLOW IN IEEE BENCHMARK SYSTEMS INCLUDING WIND POWER GENERATORS | 5 |
About Mohamed Abuella
Mohamed Abuella is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 10 papers that have together received 245 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (8 papers), Energy Load and Power Forecasting (7 papers) and Electric Power System Optimization (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (127 citations), Artificial Intelligence (187 citations) and Electrical and Electronic Engineering (190 citations). Mohamed Abuella has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Badrul Chowdhury, Sławomir Nowaczyk, Hadi Fanaee‐T and Simon Johansson. Their work appears in journals such as Renewable Energy, Ocean Engineering and IET Renewable Power Generation.
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.