Noha A. Hikal
About
In The Last Decade
Noha A. Hikal
31 papers receiving 453 citations
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 175
- Artificial Intelligence 146
- Computer Vision and Pattern Recognition 118
- Electrical and Electronic Engineering 84
- Radiology, Nuclear Medicine and Imaging 76
Countries citing papers authored by Noha A. Hikal
This map shows the geographic impact of Noha A. Hikal'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 Noha A. Hikal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noha A. Hikal more than expected).
Fields of papers citing papers by Noha A. Hikal
This network shows the impact of papers produced by Noha A. Hikal. 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 Noha A. Hikal. The network helps show where Noha A. Hikal may publish in the future.
Co-authorship network of co-authors of Noha A. Hikal
This figure shows the co-authorship network connecting the top 25 collaborators of Noha A. Hikal. A scholar is included among the top collaborators of Noha A. Hikal 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 Noha A. Hikal. Noha A. Hikal 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 | 24 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 54 | |
| 9 | 120 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 47 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | Skin color segmentation using adaptive PCA and modified elliptic boundary model | 1 |
| 19 | 0 | |
| 20 | 1 |
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.