Muhammad Azhar
- Artificial Intelligence top 10%
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Global and Planetary Change
- Computer Vision and Pattern Recognition
- Co-authors
- Muhammad AsimZia ul Rehman TahirMuhammad FarooqGhulam Moeen UddinAffan YasinRichard TorkarWasif AfzalLijie Wen
- Topics
- Solar Radiation and Photovoltaics (10 papers)Human Pose and Action Recognition (6 papers)Advanced Algebra and Logic (4 papers)
- Cited by
- Artificial IntelligenceRenewable Energy, Sustainability and the EnvironmentHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessRenewable Energy
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Muhammad Azhar
45 papers receiving 357 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 139
- Renewable Energy, Sustainability and the Environment 65
- Electrical and Electronic Engineering 61
- Global and Planetary Change 55
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Muhammad Azhar
This map shows the geographic impact of Muhammad Azhar'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 Azhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Azhar more than expected).
Fields of papers citing papers by Muhammad Azhar
This network shows the impact of papers produced by Muhammad Azhar. 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 Azhar. The network helps show where Muhammad Azhar may publish in the future.
Co-authorship network of co-authors of Muhammad Azhar
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Azhar. A scholar is included among the top collaborators of Muhammad Azhar 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 Azhar. Muhammad Azhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 10 | |
| 19 | 0 | |
| 20 | 7 |
About Muhammad Azhar
Muhammad Azhar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 57 papers that have together received 370 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (10 papers), Human Pose and Action Recognition (6 papers) and Advanced Algebra and Logic (4 papers). The work is most often cited by research in Artificial Intelligence (139 citations), Renewable Energy, Sustainability and the Environment (65 citations) and Human-Computer Interaction (21 citations). Muhammad Azhar has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Muhammad Asim, Zia ul Rehman Tahir, Muhammad Farooq, Ghulam Moeen Uddin, Affan Yasin, Richard Torkar, Wasif Afzal, Lijie Wen, Rubia Fatima and Naveed Yaqoob. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Renewable Energy.
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.