Ahmed Khan
- Computer Vision and Pattern Recognition top 10%
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Pharmacology
- Pathology and Forensic Medicine
- Co-authors
- Adeel AnjumYelena NabutovskyMohammad SaeedIbrahim R. HannaK R PalmerNadeen O. ChahineMax E. LevineKokSheik Wong
- Topics
- Advanced Steganography and Watermarking Techniques (11 papers)Digital Media Forensic Detection (10 papers)Chaos-based Image/Signal Encryption (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionCardiology and Cardiovascular MedicineArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyOsteoarthritis and Cartilage
- Partner nations
- PakistanMalaysiaUnited States
In The Last Decade
Ahmed Khan
26 papers receiving 329 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 131
- Cardiology and Cardiovascular Medicine 85
- Artificial Intelligence 73
- Pharmacology 23
- Pathology and Forensic Medicine 23
Countries citing papers authored by Ahmed Khan
This map shows the geographic impact of Ahmed 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 Ahmed Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed Khan more than expected).
Fields of papers citing papers by Ahmed Khan
This network shows the impact of papers produced by Ahmed 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 Ahmed Khan. The network helps show where Ahmed Khan may publish in the future.
Co-authorship network of co-authors of Ahmed Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Khan. A scholar is included among the top collaborators of Ahmed 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 Ahmed Khan. Ahmed 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 27 | |
| 13 | 21 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 82 | |
| 18 | Protecting from Zero-Day Malware Attacks | 13 |
| 19 | The Realization of Personalized E-Learning platform based on 3G Mobile phone and NGN control frame work for SIP based IP Networks | 2 |
| 20 | 14 |
About Ahmed Khan
Ahmed Khan is a scholar working on Computer Vision and Pattern Recognition, Anesthesiology and Pain Medicine and Gastroenterology, having authored 29 papers that have together received 341 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), Digital Media Forensic Detection (10 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Cardiology and Cardiovascular Medicine (85 citations) and Artificial Intelligence (73 citations). Ahmed Khan has collaborated with scholars based in Pakistan, Malaysia and United States. Frequent co-authors include Adeel Anjum, Yelena Nabutovsky, Mohammad Saeed, Ibrahim R. Hanna, K R Palmer, Nadeen O. Chahine, Max E. Levine, KokSheik Wong, Christopher G. Filippi and Sheikh Ziauddin. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Osteoarthritis and Cartilage.
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.