Faheem Akhtar
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Jianqiang LiYan PeiTariq MahmoodAzhar ImranKhalil Ur RehmanSirajuddin QureshiMuhammad AzeemJi‐Jiang Yang
- Topics
- Advanced Steganography and Watermarking Techniques (7 papers)Chaos-based Image/Signal Encryption (6 papers)Digital Imaging for Blood Diseases (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
In The Last Decade
Faheem Akhtar
56 papers receiving 759 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 333
- Radiology, Nuclear Medicine and Imaging 253
- Computer Networks and Communications 146
- Computer Vision and Pattern Recognition 138
- Electrical and Electronic Engineering 116
Countries citing papers authored by Faheem Akhtar
This map shows the geographic impact of Faheem Akhtar'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 Faheem Akhtar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faheem Akhtar more than expected).
Fields of papers citing papers by Faheem Akhtar
This network shows the impact of papers produced by Faheem Akhtar. 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 Faheem Akhtar. The network helps show where Faheem Akhtar may publish in the future.
Co-authorship network of co-authors of Faheem Akhtar
This figure shows the co-authorship network connecting the top 25 collaborators of Faheem Akhtar. A scholar is included among the top collaborators of Faheem Akhtar 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 Faheem Akhtar. Faheem Akhtar 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 | 12 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 58 | |
| 7 | 57 | |
| 8 | 3 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 103 | |
| 12 | 37 | |
| 13 | 4 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 71 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | The extent and impact of code-mixing in advertisements: a case of Pakistani Print Media | 1 |
About Faheem Akhtar
Faheem Akhtar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 58 papers that have together received 795 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (6 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (253 citations), Artificial Intelligence (333 citations) and Health Informatics (14 citations). Faheem Akhtar has collaborated with scholars based in Pakistan, China and Japan. Frequent co-authors include Jianqiang Li, Yan Pei, Tariq Mahmood, Azhar Imran, Khalil Ur Rehman, Sirajuddin Qureshi, Muhammad Azeem, Ji‐Jiang Yang, Xiaoxi Wang and Dan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.