Muhammad Nazir
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 5%
- Oncology
- Co-authors
- Sajid Ali KhanMuhammad Attique KhanNaveed RiazAmjad RehmanTanzila SabaKashif JavedAnwar M. MirzaImran Ashraf
- Topics
- Face and Expression Recognition (15 papers)Face recognition and analysis (10 papers)Colorectal Cancer Screening and Detection (6 papers)
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Muhammad Nazir
50 papers receiving 929 citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 452
- Artificial Intelligence 369
- Radiology, Nuclear Medicine and Imaging 212
- Neurology 147
- Oncology 96
Countries citing papers authored by Muhammad Nazir
This map shows the geographic impact of Muhammad Nazir'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 Nazir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Nazir more than expected).
Fields of papers citing papers by Muhammad Nazir
This network shows the impact of papers produced by Muhammad Nazir. 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 Nazir. The network helps show where Muhammad Nazir may publish in the future.
Co-authorship network of co-authors of Muhammad Nazir
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Nazir. A scholar is included among the top collaborators of Muhammad Nazir 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 Nazir. Muhammad Nazir 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 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 50 | |
| 6 | 25 | |
| 7 | 4 | |
| 8 | 47 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | Fuzzy logic based decision support system for component security evaluation. | 34 |
| 12 | 3 | |
| 13 | Optimized Features Selection using Hybrid PSO- GA for Multi-View Gender Classification | 6 |
| 14 | 61 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 28 | |
| 19 | Survey of various feature extraction and classification techniques for facial expression recognition | 9 |
| 20 | 9 |
About Muhammad Nazir
Muhammad Nazir is a scholar working on Computer Vision and Pattern Recognition, Gastroenterology and Software, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (15 papers), Face recognition and analysis (10 papers) and Colorectal Cancer Screening and Detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (452 citations), Health Information Management (93 citations) and Neurology (147 citations). Muhammad Nazir has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Sajid Ali Khan, Muhammad Attique Khan, Sajid Ali Khan, Naveed Riaz, Amjad Rehman, Tanzila Saba, Kashif Javed, Anwar M. Mirza, Imran Ashraf and Muhammad Ishtiaq. Their work appears in journals such as IEEE Access, Applied Sciences and Microscopy Research and Technique.
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.