Rizk M. Rizk‐Allah
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 1%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Aboul Ella HassanienAttia A. El‐FerganyRagab A. El‐SehiemyGai‐Ge WangVáclav SnåšelDongran SongMohamed ElhosenyDavut İzci
- Topics
- Metaheuristic Optimization Algorithms Research (30 papers)Advanced Multi-Objective Optimization Algorithms (20 papers)Energy Load and Power Forecasting (11 papers)
- Cited by
- Energy Engineering and Power TechnologyArtificial IntelligenceComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Rizk M. Rizk‐Allah
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 842
- Electrical and Electronic Engineering 730
- Control and Systems Engineering 534
- Computational Theory and Mathematics 403
- Renewable Energy, Sustainability and the Environment 163
Countries citing papers authored by Rizk M. Rizk‐Allah
This map shows the geographic impact of Rizk M. Rizk‐Allah'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 Rizk M. Rizk‐Allah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rizk M. Rizk‐Allah more than expected).
Fields of papers citing papers by Rizk M. Rizk‐Allah
This network shows the impact of papers produced by Rizk M. Rizk‐Allah. 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 Rizk M. Rizk‐Allah. The network helps show where Rizk M. Rizk‐Allah may publish in the future.
Co-authorship network of co-authors of Rizk M. Rizk‐Allah
This figure shows the co-authorship network connecting the top 25 collaborators of Rizk M. Rizk‐Allah. A scholar is included among the top collaborators of Rizk M. Rizk‐Allah 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 Rizk M. Rizk‐Allah. Rizk M. Rizk‐Allah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 25 | |
| 9 | 8 | |
| 10 | 42 | |
| 11 | 2 | |
| 12 | 30 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 5 | |
| 19 | 34 | |
| 20 | 2 |
About Rizk M. Rizk‐Allah
Rizk M. Rizk‐Allah is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Energy Engineering and Power Technology, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Energy Load and Power Forecasting (11 papers). The work is most often cited by research in Energy Engineering and Power Technology (88 citations), Artificial Intelligence (842 citations) and Computational Theory and Mathematics (403 citations). Rizk M. Rizk‐Allah has collaborated with scholars based in Egypt, Czechia and Türkiye. Frequent co-authors include Aboul Ella Hassanien, Attia A. El‐Fergany, Ragab A. El‐Sehiemy, Gai‐Ge Wang, Václav Snåšel, Dongran Song, Mohamed Elhoseny, Davut İzci, Serdar Ekinci and Siddhartha Bhattacharyya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.