Hassan Shaban
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Essam H. HousseinMohammed R. SaadM. HassaballahFatma A. HashimAhmed A. ElngarBahaa El-din HelmyDiego OlivaDiaa Salama AbdElminaam
- Topics
- Metaheuristic Optimization Algorithms Research (9 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)Gene expression and cancer classification (4 papers)
In The Last Decade
Hassan Shaban
19 papers receiving 991 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 564
- Computational Theory and Mathematics 221
- Computer Vision and Pattern Recognition 194
- Electrical and Electronic Engineering 175
- Computer Networks and Communications 119
Countries citing papers authored by Hassan Shaban
This map shows the geographic impact of Hassan Shaban'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 Hassan Shaban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hassan Shaban more than expected).
Fields of papers citing papers by Hassan Shaban
This network shows the impact of papers produced by Hassan Shaban. 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 Hassan Shaban. The network helps show where Hassan Shaban may publish in the future.
Co-authorship network of co-authors of Hassan Shaban
This figure shows the co-authorship network connecting the top 25 collaborators of Hassan Shaban. A scholar is included among the top collaborators of Hassan Shaban 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 Hassan Shaban. Hassan Shaban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 34 | |
| 9 | 44 | |
| 10 | 81 | |
| 11 | 22 | |
| 12 | 5 | |
| 13 | 59 | |
| 14 | 65 | |
| 15 | 101 | |
| 16 | 173 | |
| 17 | Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problemsbreakdown → | 381 |
| 18 | 7 | |
| 19 | 1 |
About Hassan Shaban
Hassan Shaban is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Artificial Intelligence (564 citations), Computational Theory and Mathematics (221 citations) and Computer Vision and Pattern Recognition (194 citations). Hassan Shaban has collaborated with scholars based in Egypt, Mexico and China. Frequent co-authors include Essam H. Houssein, Mohammed R. Saad, M. Hassaballah, Fatma A. Hashim, Ahmed A. Elngar, Bahaa El-din Helmy, Diego Oliva, Diaa Salama AbdElminaam, Kashif Hussain and William Zhu. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sustainability.
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.