Zafar Shahid
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- William PuechMarc ChaumontKhizar HayatChengyang WuIoannis KatsavounidisAlan C. BovikNaveed IslamFlorent Autrusseau
- Topics
- Advanced Steganography and Watermarking Techniques (16 papers)Video Coding and Compression Technologies (16 papers)Chaos-based Image/Signal Encryption (10 papers)
In The Last Decade
Zafar Shahid
19 papers receiving 424 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 423
- Signal Processing 242
- Artificial Intelligence 53
- Electrical and Electronic Engineering 12
- Computer Networks and Communications 11
Countries citing papers authored by Zafar Shahid
This map shows the geographic impact of Zafar Shahid'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 Zafar Shahid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zafar Shahid more than expected).
Fields of papers citing papers by Zafar Shahid
This network shows the impact of papers produced by Zafar Shahid. 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 Zafar Shahid. The network helps show where Zafar Shahid may publish in the future.
Co-authorship network of co-authors of Zafar Shahid
This figure shows the co-authorship network connecting the top 25 collaborators of Zafar Shahid. A scholar is included among the top collaborators of Zafar Shahid 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 Zafar Shahid. Zafar Shahid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 14 | |
| 3 | 42 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 98 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 28 | |
| 12 | 122 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | Fast protection of H.264/AVC by selective encryption of CABAC for I & P frames | 13 |
| 16 | 15 | |
| 17 | 13 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 1 |
About Zafar Shahid
Zafar Shahid is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 20 papers that have together received 443 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (16 papers), Video Coding and Compression Technologies (16 papers) and Chaos-based Image/Signal Encryption (10 papers). The work is most often cited by research in Signal Processing (242 citations), Computer Vision and Pattern Recognition (423 citations) and Artificial Intelligence (53 citations). Zafar Shahid has collaborated with scholars based in France, Pakistan and Oman. Frequent co-authors include William Puech, Marc Chaumont, Khizar Hayat, Chengyang Wu, Ioannis Katsavounidis, Alan C. Bovik, Naveed Islam, Florent Autrusseau, Thomas Stütz and Wei Chen. Their work appears in journals such as PLoS ONE, IEEE Access and IEEE Transactions on Circuits and Systems for Video Technology.
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.