Fawzy A. Torkey
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Arabi KeshkAbdel-Badeeh M. SalemAhmed FahimMedhat A. TawfeekMohamed A. RamadanAshraf B. El-SisiNabil A. IsmailDietmar Rösner
- Topics
- Advanced Clustering Algorithms Research (7 papers)Data Management and Algorithms (5 papers)Cloud Computing and Resource Management (3 papers)
In The Last Decade
Fawzy A. Torkey
17 papers receiving 507 citations
Peers
Comparison fields: 5 of 79
- Information Systems 339
- Computer Networks and Communications 251
- Artificial Intelligence 247
- Computer Vision and Pattern Recognition 89
- Signal Processing 59
Countries citing papers authored by Fawzy A. Torkey
This map shows the geographic impact of Fawzy A. Torkey'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 Fawzy A. Torkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fawzy A. Torkey more than expected).
Fields of papers citing papers by Fawzy A. Torkey
This network shows the impact of papers produced by Fawzy A. Torkey. 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 Fawzy A. Torkey. The network helps show where Fawzy A. Torkey may publish in the future.
Co-authorship network of co-authors of Fawzy A. Torkey
This figure shows the co-authorship network connecting the top 25 collaborators of Fawzy A. Torkey. A scholar is included among the top collaborators of Fawzy A. Torkey 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 Fawzy A. Torkey. Fawzy A. Torkey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Cloud task scheduling based on ant colony optimization. | 49 |
| 2 | 3 | |
| 3 | 198 | |
| 4 | 8 | |
| 5 | An Enhanced Density Based Spatial clustering of Applications with Noise. | 7 |
| 6 | Transformations techniques for extracting parallelism in non-uniform nested loops | 0 |
| 7 | 8 | |
| 8 | 55 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | Hierarchical Clustering Based on K-Means as Local Sample (HCKM) | 2 |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 213 | |
| 16 | Density Clustering Algorithm Based on Radius of Data (DCBRD) | 1 |
| 17 | 1 | |
| 18 | 5 |
About Fawzy A. Torkey
Fawzy A. Torkey is a scholar working on Hardware and Architecture, Signal Processing and Information Systems, having authored 18 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (7 papers), Data Management and Algorithms (5 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Information Systems (339 citations), Computer Networks and Communications (251 citations) and Artificial Intelligence (247 citations). Fawzy A. Torkey has collaborated with scholars based in Egypt and Germany. Frequent co-authors include Arabi Keshk, Abdel-Badeeh M. Salem, Ahmed Fahim, Medhat A. Tawfeek, Mohamed A. Ramadan, Ashraf B. El-Sisi, Nabil A. Ismail, Dietmar Rösner, Gunter Saake and Taher Hamza. Their work appears in journals such as Journal of Zhejiang University. Science A, International Journal of Electrical and Computer Engineering (IJECE) and The International Arab Journal of Information Technology.
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.