Muhammad Shahid Farid
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Media Technology top 2%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Muhammad Hassan KhanMarcin GrzegorzekMarco GrangettoArif MahmoodMaurizio LucenteforteSomaya Al-MáadeedTehreem FatimaHassan Aqeel Khan
- Topics
- Gait Recognition and Analysis (16 papers)Human Pose and Action Recognition (16 papers)Advanced Vision and Imaging (14 papers)
In The Last Decade
Muhammad Shahid Farid
60 papers receiving 890 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 595
- Biomedical Engineering 211
- Media Technology 166
- Artificial Intelligence 122
- Radiology, Nuclear Medicine and Imaging 112
Countries citing papers authored by Muhammad Shahid Farid
This map shows the geographic impact of Muhammad Shahid Farid'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 Shahid Farid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Shahid Farid more than expected).
Fields of papers citing papers by Muhammad Shahid Farid
This network shows the impact of papers produced by Muhammad Shahid Farid. 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 Shahid Farid. The network helps show where Muhammad Shahid Farid may publish in the future.
Co-authorship network of co-authors of Muhammad Shahid Farid
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shahid Farid. A scholar is included among the top collaborators of Muhammad Shahid Farid 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 Shahid Farid. Muhammad Shahid Farid 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 | 5 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 26 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 40 | |
| 13 | 0 | |
| 14 | 24 | |
| 15 | 20 | |
| 16 | 15 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | 24 | |
| 20 | 1 |
About Muhammad Shahid Farid
Muhammad Shahid Farid is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 62 papers that have together received 918 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (16 papers), Human Pose and Action Recognition (16 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (595 citations), Media Technology (166 citations) and Human-Computer Interaction (57 citations). Muhammad Shahid Farid has collaborated with scholars based in Pakistan, Germany and Italy. Frequent co-authors include Muhammad Hassan Khan, Marcin Grzegorzek, Marco Grangetto, Arif Mahmood, Maurizio Lucenteforte, Somaya Al-Máadeed, Tehreem Fatima, Hassan Aqeel Khan, Muhammad Adeel Nisar and Kimiaki Shirahama. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Sensors.
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.