Rashid Ali
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Geometry and Topology top 5%
- Computational Theory and Mathematics top 10%
- Information Systems
- Co-authors
- Nawab HussainSaba InamShamsa KanwalTayyab KamranMihai PostolacheTasleem ArifIsmat BegAkbar Azam
- Topics
- Chaos-based Image/Signal Encryption (8 papers)Cryptography and Data Security (8 papers)Coding theory and cryptography (6 papers)
- Partner nations
- PakistanSaudi ArabiaIndia
In The Last Decade
Rashid Ali
27 papers receiving 341 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 210
- Artificial Intelligence 119
- Geometry and Topology 81
- Computational Theory and Mathematics 51
- Information Systems 40
Countries citing papers authored by Rashid Ali
This map shows the geographic impact of Rashid Ali'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 Rashid Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashid Ali more than expected).
Fields of papers citing papers by Rashid Ali
This network shows the impact of papers produced by Rashid Ali. 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 Rashid Ali. The network helps show where Rashid Ali may publish in the future.
Co-authorship network of co-authors of Rashid Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Rashid Ali. A scholar is included among the top collaborators of Rashid Ali 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 Rashid Ali. Rashid Ali 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 | 3 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 55 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 19 | |
| 14 | 9 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | Author Name Disambiguation Using Two Stage Clustering | 1 |
| 18 | 9 | |
| 19 | Offline signature verification method using weighted block analysis | 2 |
| 20 | Coupled fixed points of mixed monotone operators on probabilistic Banach spaces | 12 |
About Rashid Ali
Rashid Ali is a scholar working on Geometry and Topology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 364 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (8 papers), Cryptography and Data Security (8 papers) and Coding theory and cryptography (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Geometry and Topology (81 citations) and Mathematical Physics (34 citations). Rashid Ali has collaborated with scholars based in Pakistan, Saudi Arabia and India. Frequent co-authors include Nawab Hussain, Saba Inam, Shamsa Kanwal, Tayyab Kamran, Mihai Postolache, Tasleem Arif, Ismat Beg, Akbar Azam, Abdul Latif and Omar Cheikhrouhou. Their work appears in journals such as PLoS ONE, IEEE Access and Electronics Letters.
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.