Muhammad Attique Khan
- Artificial Intelligence top 0.1%
- Computer Vision and Pattern Recognition top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Plant Science top 0.5%
- Neurology top 0.2%
- Co-authors
- Muhammad SharifTallha AkramTanzila SabaAmjad RehmanRobertas DamaševičiusMajed AlhaisoniKashif JavedUsman Tariq
- Topics
- AI in cancer detection (49 papers)Smart Agriculture and AI (40 papers)Brain Tumor Detection and Classification (40 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsComputers in Human Behavior
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Muhammad Attique Khan
299 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Artificial Intelligence 4.5k
- Computer Vision and Pattern Recognition 4.3k
- Radiology, Nuclear Medicine and Imaging 2.3k
- Plant Science 2.2k
- Neurology 2.0k
Countries citing papers authored by Muhammad Attique Khan
This map shows the geographic impact of Muhammad Attique 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 Muhammad Attique Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Attique Khan more than expected).
Fields of papers citing papers by Muhammad Attique Khan
This network shows the impact of papers produced by Muhammad Attique 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 Muhammad Attique Khan. The network helps show where Muhammad Attique Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Attique Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Attique Khan. A scholar is included among the top collaborators of Muhammad Attique 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 Muhammad Attique Khan. Muhammad Attique 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 | 0 | |
| 2 | 24 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 25 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 33 | |
| 12 | 23 | |
| 13 | 40 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 5 | |
| 20 | 51 |
About Muhammad Attique Khan
Muhammad Attique Khan is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, having authored 314 papers that have together received 12.3k indexed citations. Recurring topics across this work include AI in cancer detection (49 papers), Smart Agriculture and AI (40 papers) and Brain Tumor Detection and Classification (40 papers). The work is most often cited by research in Neurology (2.0k citations), Computer Vision and Pattern Recognition (4.3k citations) and Artificial Intelligence (4.5k citations). Muhammad Attique Khan has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Muhammad Sharif, Tallha Akram, Tanzila Saba, Muhammad Sharif, Amjad Rehman, Robertas Damaševičius, Majed Alhaisoni, Kashif Javed, Usman Tariq and Yudong Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.
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.