Rao Muhammad Anwer
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Atmospheric Science top 10%
- Co-authors
- Fahad Shahbaz KhanHisham CholakkalYanwei PangJoost van de WeijerLing ShaoJorma LaaksonenSalman KhanAntonio M. López
- Topics
- Advanced Neural Network Applications (27 papers)Advanced Image and Video Retrieval Techniques (20 papers)Video Surveillance and Tracking Methods (11 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- United Arab EmiratesFinlandChina
In The Last Decade
Rao Muhammad Anwer
52 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 1.6k
- Media Technology 521
- Artificial Intelligence 497
- Aerospace Engineering 194
- Atmospheric Science 193
Countries citing papers authored by Rao Muhammad Anwer
This map shows the geographic impact of Rao Muhammad Anwer'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 Rao Muhammad Anwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rao Muhammad Anwer more than expected).
Fields of papers citing papers by Rao Muhammad Anwer
This network shows the impact of papers produced by Rao Muhammad Anwer. 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 Rao Muhammad Anwer. The network helps show where Rao Muhammad Anwer may publish in the future.
Co-authorship network of co-authors of Rao Muhammad Anwer
This figure shows the co-authorship network connecting the top 25 collaborators of Rao Muhammad Anwer. A scholar is included among the top collaborators of Rao Muhammad Anwer 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 Rao Muhammad Anwer. Rao Muhammad Anwer 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 41 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 41 | |
| 13 | Transformers in Remote Sensing: A Surveybreakdown → | 218 |
| 14 | 10 | |
| 15 | 96 | |
| 16 | 141 | |
| 17 | 236 | |
| 18 | PicSOM Experiments in TRECVID 2013 | 1 |
| 19 | Using VRML to Build a Virtual Reality Campus Environment | 0 |
| 20 | 12 |
About Rao Muhammad Anwer
Rao Muhammad Anwer is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (27 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Media Technology (521 citations) and Artificial Intelligence (497 citations). Rao Muhammad Anwer has collaborated with scholars based in United Arab Emirates, Finland and China. Frequent co-authors include Fahad Shahbaz Khan, Hisham Cholakkal, Yanwei Pang, Joost van de Weijer, Ling Shao, Jorma Laaksonen, Salman Khan, Antonio M. López, Andrew D. Bagdanov and Matthieu Molinier. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.