Hameedur Rahman
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Tanvir Fatima Naik BukhtJunaid TariqTouseef SadiqAmirrudin KamsinLip Yee PorAzhar ImranAbdulkareem AlzahraniShanshan Tu
- Topics
- Video Surveillance and Tracking Methods (9 papers)AI in cancer detection (7 papers)Educational Games and Gamification (7 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- PakistanSaudi ArabiaMalaysia
In The Last Decade
Hameedur Rahman
57 papers receiving 560 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 231
- Artificial Intelligence 195
- Radiology, Nuclear Medicine and Imaging 115
- Biomedical Engineering 70
- Computer Networks and Communications 69
Countries citing papers authored by Hameedur Rahman
This map shows the geographic impact of Hameedur Rahman'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 Hameedur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hameedur Rahman more than expected).
Fields of papers citing papers by Hameedur Rahman
This network shows the impact of papers produced by Hameedur Rahman. 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 Hameedur Rahman. The network helps show where Hameedur Rahman may publish in the future.
Co-authorship network of co-authors of Hameedur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Hameedur Rahman. A scholar is included among the top collaborators of Hameedur Rahman 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 Hameedur Rahman. Hameedur Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 13 | |
| 16 | 14 | |
| 17 | 27 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | A framework to visualize 3D breast tumor using X-ray vision technique in mobile augmented reality | 5 |
About Hameedur Rahman
Hameedur Rahman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 62 papers that have together received 596 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), AI in cancer detection (7 papers) and Educational Games and Gamification (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Artificial Intelligence (195 citations) and Neurology (48 citations). Hameedur Rahman has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Tanvir Fatima Naik Bukht, Junaid Tariq, Touseef Sadiq, Amirrudin Kamsin, Lip Yee Por, Azhar Imran, Abdulkareem Alzahrani, Shanshan Tu, Ahmad Almadhor and Asaad Algarni. Their work appears in journals such as Scientific Reports, IEEE Access 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.