Muhammad Haroon Yousaf
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Oncology
- Civil and Structural Engineering top 5%
- Biomedical Engineering
- Co-authors
- Sergio A. VelastínFiza MurtazaNudrat NidaAun IrtazaMuhammad Tariq MahmoodFawad HussainAli JavedSaima Nazir
- Topics
- Human Pose and Action Recognition (30 papers)Video Surveillance and Tracking Methods (21 papers)Anomaly Detection Techniques and Applications (12 papers)
- Partner nations
- PakistanUnited KingdomSpain
In The Last Decade
Muhammad Haroon Yousaf
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 631
- Artificial Intelligence 426
- Oncology 187
- Civil and Structural Engineering 169
- Biomedical Engineering 124
Countries citing papers authored by Muhammad Haroon Yousaf
This map shows the geographic impact of Muhammad Haroon Yousaf'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 Haroon Yousaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Haroon Yousaf more than expected).
Fields of papers citing papers by Muhammad Haroon Yousaf
This network shows the impact of papers produced by Muhammad Haroon Yousaf. 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 Haroon Yousaf. The network helps show where Muhammad Haroon Yousaf may publish in the future.
Co-authorship network of co-authors of Muhammad Haroon Yousaf
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Haroon Yousaf. A scholar is included among the top collaborators of Muhammad Haroon Yousaf 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 Haroon Yousaf. Muhammad Haroon Yousaf 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 6 | |
| 14 | 42 | |
| 15 | 25 | |
| 16 | 157 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 9 |
About Muhammad Haroon Yousaf
Muhammad Haroon Yousaf is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (30 papers), Video Surveillance and Tracking Methods (21 papers) and Anomaly Detection Techniques and Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (631 citations), Human-Computer Interaction (83 citations) and Artificial Intelligence (426 citations). Muhammad Haroon Yousaf has collaborated with scholars based in Pakistan, United Kingdom and Spain. Frequent co-authors include Sergio A. Velastín, Fiza Murtaza, Nudrat Nida, Aun Irtaza, Muhammad Tariq Mahmood, Fawad Hussain, Ali Javed, Saima Nazir, Hafiz Adnan Habib and Shah Nawaz. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition Letters.
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.