Eihab B. M. Bashier
About
In The Last Decade
Eihab B. M. Bashier
27 papers receiving 557 citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 138
- Computer Networks and Communications 80
- Numerical Analysis 80
- Computational Theory and Mathematics 75
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Eihab B. M. Bashier
This map shows the geographic impact of Eihab B. M. Bashier'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 Eihab B. M. Bashier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eihab B. M. Bashier more than expected).
Fields of papers citing papers by Eihab B. M. Bashier
This network shows the impact of papers produced by Eihab B. M. Bashier. 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 Eihab B. M. Bashier. The network helps show where Eihab B. M. Bashier may publish in the future.
Co-authorship network of co-authors of Eihab B. M. Bashier
This figure shows the co-authorship network connecting the top 25 collaborators of Eihab B. M. Bashier. A scholar is included among the top collaborators of Eihab B. M. Bashier 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 Eihab B. M. Bashier. Eihab B. M. Bashier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | A Strongly Secure Certificateless Digital Signature Scheme in the Random Oracle Model. | 3 |
| 10 | 35 | |
| 11 | 241 | |
| 12 | 139 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | Fast and accurate detection for polymorphic worms | 1 |
| 20 | 44 |
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.