Muhammad Sajid
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Nouman AliBushra ZafarSaadat Hanif DarAqsa RasheedNaeem Iqbal RatyalImtiaz Ahmad TajMuhammad Tariq MahmoodTehmina Khalil
- Topics
- Face recognition and analysis (17 papers)Face and Expression Recognition (11 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Muhammad Sajid
50 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 585
- Media Technology 182
- Artificial Intelligence 155
- Industrial and Manufacturing Engineering 120
- Radiology, Nuclear Medicine and Imaging 113
Countries citing papers authored by Muhammad Sajid
This map shows the geographic impact of Muhammad Sajid'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 Sajid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Sajid more than expected).
Fields of papers citing papers by Muhammad Sajid
This network shows the impact of papers produced by Muhammad Sajid. 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 Sajid. The network helps show where Muhammad Sajid may publish in the future.
Co-authorship network of co-authors of Muhammad Sajid
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Sajid. A scholar is included among the top collaborators of Muhammad Sajid 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 Sajid. Muhammad Sajid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 34 | |
| 5 | 8 | |
| 6 | 34 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 73 | |
| 12 | 20 | |
| 13 | 30 | |
| 14 | 124 | |
| 15 | 21 | |
| 16 | 22 | |
| 17 | 212 | |
| 18 | 16 | |
| 19 | 37 | |
| 20 | 32 |
About Muhammad Sajid
Muhammad Sajid is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face recognition and analysis (17 papers), Face and Expression Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (585 citations), Media Technology (182 citations) and Industrial and Manufacturing Engineering (120 citations). Muhammad Sajid has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Nouman Ali, Bushra Zafar, Saadat Hanif Dar, Aqsa Rasheed, Naeem Iqbal Ratyal, Imtiaz Ahmad Taj, Muhammad Tariq Mahmood, Tehmina Khalil, Jameel Ahmed and Mirza Jabbar Aziz Baig. Their work appears in journals such as PLoS ONE, IEEE Access and Applied Soft Computing.
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.