Kamal A. ElDahshan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Aya Abdelsalam IsmailMarwa ElpeltagyDina SalahMohammed Ahmed MustafaAmr AbozeidAhmed M. HassanAhmed A. ElngarMohamed Abouhawwash
- Topics
- Advanced Malware Detection Techniques (6 papers)Generative Adversarial Networks and Image Synthesis (5 papers)Digital Imaging for Blood Diseases (5 papers)
In The Last Decade
Kamal A. ElDahshan
46 papers receiving 346 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 181
- Artificial Intelligence 153
- Computer Networks and Communications 78
- Information Systems 76
- Signal Processing 53
Countries citing papers authored by Kamal A. ElDahshan
This map shows the geographic impact of Kamal A. ElDahshan'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 Kamal A. ElDahshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamal A. ElDahshan more than expected).
Fields of papers citing papers by Kamal A. ElDahshan
This network shows the impact of papers produced by Kamal A. ElDahshan. 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 Kamal A. ElDahshan. The network helps show where Kamal A. ElDahshan may publish in the future.
Co-authorship network of co-authors of Kamal A. ElDahshan
This figure shows the co-authorship network connecting the top 25 collaborators of Kamal A. ElDahshan. A scholar is included among the top collaborators of Kamal A. ElDahshan 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 Kamal A. ElDahshan. Kamal A. ElDahshan 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | EA Based Dynamic Key Generation in RC4 Ciphering Applied to CMS | 5 |
| 19 | 0 | |
| 20 | Mining uncertain data warehouse | 0 |
About Kamal A. ElDahshan
Kamal A. ElDahshan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 53 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Signal Processing (53 citations) and Artificial Intelligence (153 citations). Kamal A. ElDahshan has collaborated with scholars based in Egypt, Qatar and Indonesia. Frequent co-authors include Aya Abdelsalam Ismail, Marwa Elpeltagy, Dina Salah, Mohammed Ahmed Mustafa, Amr Abozeid, Ahmed M. Hassan, Ahmed A. Elngar, Mohamed Abouhawwash, Hesham A. Hefny and Yunyoung Nam. Their work appears in journals such as IEEE Access, Sensors and Neural Computing and 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.