Bilal Zahran
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Information Systems
- Signal Processing
- Media Technology
- Co-authors
- Ziad AlqadiJamil Al-AzzehGhassan KanaanAbdelwadood MeslehAbdelaziz I. HammouriMelad M. OlaimatMd Asri NgadiNaveed Ahmed
- Topics
- Neural Networks and Applications (3 papers)Hydrological Forecasting Using AI (2 papers)Metal Alloys Wear and Properties (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Data and Network ScienceTELKOMNIKA (Telecommunication Computing Electronics and Control)
- Partner nations
- JordanMalaysiaSaudi Arabia
In The Last Decade
Bilal Zahran
18 papers receiving 257 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 136
- Artificial Intelligence 83
- Information Systems 29
- Signal Processing 27
- Media Technology 21
Countries citing papers authored by Bilal Zahran
This map shows the geographic impact of Bilal Zahran'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 Bilal Zahran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bilal Zahran more than expected).
Fields of papers citing papers by Bilal Zahran
This network shows the impact of papers produced by Bilal Zahran. 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 Bilal Zahran. The network helps show where Bilal Zahran may publish in the future.
Co-authorship network of co-authors of Bilal Zahran
This figure shows the co-authorship network connecting the top 25 collaborators of Bilal Zahran. A scholar is included among the top collaborators of Bilal Zahran 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 Bilal Zahran. Bilal Zahran 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 | 3 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 72 | |
| 10 | 21 | |
| 11 | 33 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 7 | |
| 19 | Text Feature Selection using Particle Swarm Optimization Algorithm | 48 |
About Bilal Zahran
Bilal Zahran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 19 papers that have together received 269 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Hydrological Forecasting Using AI (2 papers) and Metal Alloys Wear and Properties (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Artificial Intelligence (83 citations) and Signal Processing (27 citations). Bilal Zahran has collaborated with scholars based in Jordan, Malaysia and Saudi Arabia. Frequent co-authors include Ziad Alqadi, Jamil Al-Azzeh, Ghassan Kanaan, Abdelwadood Mesleh, Abdelaziz I. Hammouri, Melad M. Olaimat, Md Asri Ngadi, Naveed Ahmed and Mohammed Matouq. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Data and Network Science and TELKOMNIKA (Telecommunication Computing Electronics and Control).
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.