Shafin Rahman
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computational Mechanics
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Co-authors
- Salman KhanNick BarnesLars PeterssonNeil D. B. BruceFatih PorikliDylan CampbellSejuti RahmanJohn K. Tsotsos
- Topics
- Domain Adaptation and Few-Shot Learning (17 papers)Multimodal Machine Learning Applications (12 papers)Advanced Image and Video Retrieval Techniques (9 papers)
- Partner nations
- BangladeshAustraliaCanada
In The Last Decade
Shafin Rahman
53 papers receiving 563 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 398
- Artificial Intelligence 267
- Computational Mechanics 57
- Radiology, Nuclear Medicine and Imaging 46
- Cognitive Neuroscience 45
Countries citing papers authored by Shafin Rahman
This map shows the geographic impact of Shafin 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 Shafin Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shafin Rahman more than expected).
Fields of papers citing papers by Shafin Rahman
This network shows the impact of papers produced by Shafin 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 Shafin Rahman. The network helps show where Shafin Rahman may publish in the future.
Co-authorship network of co-authors of Shafin Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Shafin Rahman. A scholar is included among the top collaborators of Shafin 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 Shafin Rahman. Shafin 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 34 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | Saliency, scale and information: towards a unifying theory | 5 |
| 19 | 49 | |
| 20 | Microcontroller based closed-loop automatic speed control of DC motor using PWM | 2 |
About Shafin Rahman
Shafin Rahman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 58 papers that have together received 584 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (17 papers), Multimodal Machine Learning Applications (12 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (398 citations), Artificial Intelligence (267 citations) and Geology (42 citations). Shafin Rahman has collaborated with scholars based in Bangladesh, Australia and Canada. Frequent co-authors include Salman Khan, Nick Barnes, Lars Petersson, Neil D. B. Bruce, Fatih Porikli, Dylan Campbell, Sejuti Rahman, John K. Tsotsos, Mehrtash Harandi and Christian Simon. Their work appears in journals such as PLoS ONE, Pattern Recognition and Vision Research.
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.