Muhammad Arsalan
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Ophthalmology top 1%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Co-authors
- Kang Ryoung ParkMuhammad OwaisTahir MahmoodRizwan Ali NaqviKang ParkAdnan HaiderJiho ChoiMin Beom Lee
- Topics
- Retinal Imaging and Analysis (17 papers)Digital Imaging for Blood Diseases (15 papers)Retinal Diseases and Treatments (9 papers)
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- South KoreaPakistanAustralia
In The Last Decade
Muhammad Arsalan
72 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 956
- Radiology, Nuclear Medicine and Imaging 802
- Ophthalmology 437
- Artificial Intelligence 353
- Signal Processing 226
Countries citing papers authored by Muhammad Arsalan
This map shows the geographic impact of Muhammad Arsalan'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 Arsalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Arsalan more than expected).
Fields of papers citing papers by Muhammad Arsalan
This network shows the impact of papers produced by Muhammad Arsalan. 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 Arsalan. The network helps show where Muhammad Arsalan may publish in the future.
Co-authorship network of co-authors of Muhammad Arsalan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arsalan. A scholar is included among the top collaborators of Muhammad Arsalan 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 Arsalan. Muhammad Arsalan 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 | 5 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 27 | |
| 10 | 5 | |
| 11 | 17 | |
| 12 | 139 | |
| 13 | 29 | |
| 14 | 41 | |
| 15 | 61 | |
| 16 | 1 | |
| 17 | 60 | |
| 18 | 74 | |
| 19 | 77 | |
| 20 | 79 |
About Muhammad Arsalan
Muhammad Arsalan is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (15 papers) and Retinal Diseases and Treatments (9 papers). The work is most often cited by research in Ophthalmology (437 citations), Computer Vision and Pattern Recognition (956 citations) and Radiology, Nuclear Medicine and Imaging (802 citations). Muhammad Arsalan has collaborated with scholars based in South Korea, Pakistan and Australia. Frequent co-authors include Kang Ryoung Park, Muhammad Owais, Tahir Mahmood, Rizwan Ali Naqvi, Kang Park, Adnan Haider, Jiho Choi, Min Beom Lee, Dong Seop Kim and Syed S. Naqvi. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.
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.