Mohamed Issa
- Artificial Intelligence top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Civil and Structural Engineering top 10%
- Co-authors
- Ahmed M. HelmiMohamed Abd ElazizAhmed M. AlzohairyAboul Ella HassanienDiego OlivaIbrahim ZiedanAmmar H. ElsheikhT. Muthuramalingam
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Structural Behavior of Reinforced Concrete (4 papers)Genomics and Phylogenetic Studies (4 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceAutomotive Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- EgyptSaudi ArabiaUnited Arab Emirates
In The Last Decade
Mohamed Issa
21 papers receiving 556 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 241
- Renewable Energy, Sustainability and the Environment 126
- Electrical and Electronic Engineering 116
- Control and Systems Engineering 81
- Civil and Structural Engineering 71
Countries citing papers authored by Mohamed Issa
This map shows the geographic impact of Mohamed Issa'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 Issa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Issa more than expected).
Fields of papers citing papers by Mohamed Issa
This network shows the impact of papers produced by Mohamed Issa. 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 Issa. The network helps show where Mohamed Issa may publish in the future.
Co-authorship network of co-authors of Mohamed Issa
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Issa. A scholar is included among the top collaborators of Mohamed Issa 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 Issa. Mohamed Issa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 40 | |
| 9 | 37 | |
| 10 | 18 | |
| 11 | 51 | |
| 12 | 118 | |
| 13 | 10 | |
| 14 | 24 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 0 | |
| 19 | 6 | |
| 20 | 2 |
About Mohamed Issa
Mohamed Issa is a scholar working on Building and Construction, Artificial Intelligence and Civil and Structural Engineering, having authored 23 papers that have together received 569 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Structural Behavior of Reinforced Concrete (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (126 citations), Artificial Intelligence (241 citations) and Automotive Engineering (48 citations). Mohamed Issa has collaborated with scholars based in Egypt, Saudi Arabia and United Arab Emirates. Frequent co-authors include Ahmed M. Helmi, Mohamed Abd Elaziz, Ahmed M. Alzohairy, Aboul Ella Hassanien, Diego Oliva, Ibrahim Ziedan, Ammar H. Elsheikh, T. Muthuramalingam, S. Shanmugan and Laith Abualigah. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.