Zahoor Jan
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Networks and Communications top 5%
- Molecular Biology
- Co-authors
- Naveed IslamIkram Ud DinJoel J. P. C. RodriguesMuhammad SajjadKhan MuhammadSung Wook BaikKhalid HaseebJamil Ahmad
- Topics
- Digital Imaging for Blood Diseases (9 papers)Advanced Steganography and Watermarking Techniques (9 papers)AI in cancer detection (8 papers)
- Partner nations
- PakistanSouth KoreaSaudi Arabia
In The Last Decade
Zahoor Jan
49 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 746
- Artificial Intelligence 613
- Radiology, Nuclear Medicine and Imaging 357
- Computer Networks and Communications 245
- Molecular Biology 181
Countries citing papers authored by Zahoor Jan
This map shows the geographic impact of Zahoor Jan'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 Zahoor Jan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zahoor Jan more than expected).
Fields of papers citing papers by Zahoor Jan
This network shows the impact of papers produced by Zahoor Jan. 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 Zahoor Jan. The network helps show where Zahoor Jan may publish in the future.
Co-authorship network of co-authors of Zahoor Jan
This figure shows the co-authorship network connecting the top 25 collaborators of Zahoor Jan. A scholar is included among the top collaborators of Zahoor Jan 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 Zahoor Jan. Zahoor Jan 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 | 26 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 25 | |
| 9 | 23 | |
| 10 | 29 | |
| 11 | 12 | |
| 12 | 72 | |
| 13 | 97 | |
| 14 | 3 | |
| 15 | 83 | |
| 16 | 18 | |
| 17 | 104 | |
| 18 | A New Image Steganographic Technique using Pattern based Bits Shuffling and Magic LSB for Grayscale Images | 2 |
| 19 | 3 | |
| 20 | 2 |
About Zahoor Jan
Zahoor Jan is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Signal Processing, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (9 papers), Advanced Steganography and Watermarking Techniques (9 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (746 citations), Artificial Intelligence (613 citations) and Health Informatics (23 citations). Zahoor Jan has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Naveed Islam, Ikram Ud Din, Joel J. P. C. Rodrigues, Muhammad Sajjad, Khan Muhammad, Sung Wook Baik, Khalid Haseeb, Jamil Ahmad, Irfan Mehmood and Muhammad Arif. Their work appears in journals such as PLoS ONE, IEEE Access and Journal of Theoretical Biology.
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.