Muhammad Faisal Khan
- Plant Science
- Neurology top 10%
- Analytical Chemistry top 10%
- Cellular and Molecular Neuroscience
- Ecology
- Co-authors
- Robert E. GrossKlaus MewesOskar ŠkrinjarHasnat KhurshidSahar AhmadNaveed IqbalAzeem KhalidIshfaq Ahmad Hafiz
- Topics
- Advanced MRI Techniques and Applications (5 papers)Medical Image Segmentation Techniques (4 papers)Medical Imaging Techniques and Applications (2 papers)
- Journals
- Scientific ReportsComputers in Biology and MedicineIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Partner nations
- PakistanUnited StatesZimbabwe
In The Last Decade
Muhammad Faisal Khan
13 papers receiving 346 citations
Peers
Comparison fields: 5 of 71
- Plant Science 130
- Neurology 120
- Analytical Chemistry 60
- Cellular and Molecular Neuroscience 57
- Ecology 39
Countries citing papers authored by Muhammad Faisal Khan
This map shows the geographic impact of Muhammad Faisal 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 Faisal 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 Faisal Khan more than expected).
Fields of papers citing papers by Muhammad Faisal Khan
This network shows the impact of papers produced by Muhammad Faisal 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 Faisal Khan. The network helps show where Muhammad Faisal Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Faisal Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Faisal Khan. A scholar is included among the top collaborators of Muhammad Faisal 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 Faisal Khan. Muhammad Faisal 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 | 9 | |
| 2 | 9 | |
| 3 | 23 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 132 | |
| 9 | 2 | |
| 10 | 21 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 135 | |
| 16 | 1 |
About Muhammad Faisal Khan
Muhammad Faisal Khan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Medical Image Segmentation Techniques (4 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Neurology (120 citations), Analytical Chemistry (60 citations) and Plant Science (130 citations). Muhammad Faisal Khan has collaborated with scholars based in Pakistan, United States and Zimbabwe. Frequent co-authors include Robert E. Gross, Klaus Mewes, Oskar Škrinjar, Hasnat Khurshid, Sahar Ahmad, Naveed Iqbal, Azeem Khalid, Ishfaq Ahmad Hafiz, Muhammad Azam Khan and Nadeem Akhtar Abbasi. Their work appears in journals such as Scientific Reports, Computers in Biology and Medicine and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.