Muhammad Aamir
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Nazri Mohd NawiFazli WahidRozaida GhazaliSaman RiazArshad AliMuhammad ZulqarnainSultan AlmotairiAshit Kumar Dutta
- Topics
- Text and Document Classification Technologies (7 papers)Sentiment Analysis and Opinion Mining (5 papers)Anomaly Detection Techniques and Applications (5 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- MalaysiaPakistanUnited Kingdom
In The Last Decade
Muhammad Aamir
57 papers receiving 918 citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 408
- Computer Networks and Communications 292
- Signal Processing 157
- Information Systems 146
- Computer Vision and Pattern Recognition 132
Countries citing papers authored by Muhammad Aamir
This map shows the geographic impact of Muhammad Aamir'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 Aamir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Aamir more than expected).
Fields of papers citing papers by Muhammad Aamir
This network shows the impact of papers produced by Muhammad Aamir. 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 Aamir. The network helps show where Muhammad Aamir may publish in the future.
Co-authorship network of co-authors of Muhammad Aamir
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Aamir. A scholar is included among the top collaborators of Muhammad Aamir 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 Aamir. Muhammad Aamir 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 | 0 | |
| 3 | 11 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 42 | |
| 8 | 35 | |
| 9 | 5 | |
| 10 | 41 | |
| 11 | 19 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | A Hybrid Proposed Framework for Object Detection and Classification | 12 |
| 16 | 11 | |
| 17 | 11 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 6 |
About Muhammad Aamir
Muhammad Aamir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 61 papers that have together received 989 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (7 papers), Sentiment Analysis and Opinion Mining (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Signal Processing (157 citations), Computer Networks and Communications (292 citations) and Artificial Intelligence (408 citations). Muhammad Aamir has collaborated with scholars based in Malaysia, Pakistan and United Kingdom. Frequent co-authors include Nazri Mohd Nawi, Fazli Wahid, Rozaida Ghazali, Saman Riaz, Arshad Ali, Muhammad Zulqarnain, Sultan Almotairi, Ashit Kumar Dutta, Abdulrahman Alruban and Yana Mazwin Mohmad Hassim. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.