Mohammed H. Qais
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 1%
- Renewable Energy, Sustainability and the Environment top 5%
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- Hany M. HasanienSaad AlghuwainemRania A. TurkyFrancisco JuradoMarcos Tostado‐VélizK. H. LooMohamed A. M. ShaheenZia Ullah
- Topics
- Microgrid Control and Optimization (19 papers)Wind Turbine Control Systems (13 papers)Frequency Control in Power Systems (8 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyArtificial Intelligence
- Partner nations
- Saudi ArabiaEgyptUnited Kingdom
In The Last Decade
Mohammed H. Qais
44 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 87
- Electrical and Electronic Engineering 1.1k
- Artificial Intelligence 885
- Renewable Energy, Sustainability and the Environment 661
- Control and Systems Engineering 634
- Computational Theory and Mathematics 249
Countries citing papers authored by Mohammed H. Qais
This map shows the geographic impact of Mohammed H. Qais'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 Mohammed H. Qais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed H. Qais more than expected).
Fields of papers citing papers by Mohammed H. Qais
This network shows the impact of papers produced by Mohammed H. Qais. 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 Mohammed H. Qais. The network helps show where Mohammed H. Qais may publish in the future.
Co-authorship network of co-authors of Mohammed H. Qais
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed H. Qais. A scholar is included among the top collaborators of Mohammed H. Qais 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 Mohammed H. Qais. Mohammed H. Qais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 40 | |
| 9 | 13 | |
| 10 | 19 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 32 | |
| 14 | 102 | |
| 15 | 41 | |
| 16 | 233 | |
| 17 | 113 | |
| 18 | 14 | |
| 19 | 13 | |
| 20 | 0 |
About Mohammed H. Qais
Mohammed H. Qais is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Renewable Energy, Sustainability and the Environment, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (19 papers), Wind Turbine Control Systems (13 papers) and Frequency Control in Power Systems (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (661 citations), Energy Engineering and Power Technology (103 citations) and Artificial Intelligence (885 citations). Mohammed H. Qais has collaborated with scholars based in Saudi Arabia, Egypt and United Kingdom. Frequent co-authors include Hany M. Hasanien, Saad Alghuwainem, Rania A. Turky, Francisco Jurado, Marcos Tostado‐Véliz, K. H. Loo, Mohamed A. M. Shaheen, Zia Ullah, Usama Khaled and Mohamed R. Elkadeem. Their work appears in journals such as Scientific Reports, Applied Energy 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.