Jan Sher Khan
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Jawad AhmadMuazzam A. KhanSeong Oun HwangJameel AhmedFawad AhmedWadii BoulilaWilliam J. BuchananSaadullah Farooq Abbasi
- Topics
- Chaos-based Image/Signal Encryption (24 papers)Advanced Steganography and Watermarking Techniques (17 papers)Mathematical Dynamics and Fractals (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionMathematical PhysicsComputational Theory and Mathematics
- Partner nations
- PakistanTürkiyeUnited Kingdom
In The Last Decade
Jan Sher Khan
34 papers receiving 940 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 852
- Artificial Intelligence 306
- Computational Theory and Mathematics 181
- Mathematical Physics 146
- Statistical and Nonlinear Physics 116
Countries citing papers authored by Jan Sher Khan
This map shows the geographic impact of Jan Sher Khan'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 Jan Sher Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Sher Khan more than expected).
Fields of papers citing papers by Jan Sher Khan
This network shows the impact of papers produced by Jan Sher Khan. 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 Jan Sher Khan. The network helps show where Jan Sher Khan may publish in the future.
Co-authorship network of co-authors of Jan Sher Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Sher Khan. A scholar is included among the top collaborators of Jan Sher Khan 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 Jan Sher Khan. Jan Sher Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 17 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 47 | |
| 11 | 12 | |
| 12 | 187 | |
| 13 | 7 | |
| 14 | 18 | |
| 15 | 59 | |
| 16 | 22 | |
| 17 | 69 | |
| 18 | 59 | |
| 19 | 34 | |
| 20 | 57 |
About Jan Sher Khan
Jan Sher Khan is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics and Computational Theory and Mathematics, having authored 35 papers that have together received 984 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (24 papers), Advanced Steganography and Watermarking Techniques (17 papers) and Mathematical Dynamics and Fractals (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (852 citations), Mathematical Physics (146 citations) and Computational Theory and Mathematics (181 citations). Jan Sher Khan has collaborated with scholars based in Pakistan, Türkiye and United Kingdom. Frequent co-authors include Jawad Ahmad, Muazzam A. Khan, Seong Oun Hwang, Jameel Ahmed, Fawad Ahmed, Wadii Boulila, William J. Buchanan, Saadullah Farooq Abbasi, Roobaea Alroobaea and Saeed Rubaiee. Their work appears in journals such as IEEE Access, British journal of surgery and The Lancet Diabetes & Endocrinology.
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.