Shuvendu Roy
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Signal Processing
- Topics
- Face and Expression Recognition (5 papers)Face recognition and analysis (4 papers)Speech and Audio Processing (3 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- ElectronicsIEEE Transactions on Affective ComputingACM Transactions on Multimedia Computing Communications and Applications
- Partner nations
- BangladeshCanadaUnited Kingdom
In The Last Decade
Shuvendu Roy
15 papers receiving 255 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 152
- Experimental and Cognitive Psychology 123
- Artificial Intelligence 53
- Cognitive Neuroscience 34
- Signal Processing 18
Countries citing papers authored by Shuvendu Roy
This map shows the geographic impact of Shuvendu Roy'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 Shuvendu Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuvendu Roy more than expected).
Fields of papers citing papers by Shuvendu Roy
This network shows the impact of papers produced by Shuvendu Roy. 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 Shuvendu Roy. The network helps show where Shuvendu Roy may publish in the future.
Co-authorship network of co-authors of Shuvendu Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Shuvendu Roy. A scholar is included among the top collaborators of Shuvendu Roy 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 Shuvendu Roy. Shuvendu Roy 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | Generalized Delta conservative constituent modeling using artificial neural networks | 0 |
| 10 | Facial Emotion Recognition Using Transfer Learning in the Deep CNNbreakdown → | 193 |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 39 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 2 |
About Shuvendu Roy
Shuvendu Roy is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 20 papers that have together received 278 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Face recognition and analysis (4 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (123 citations), Computer Vision and Pattern Recognition (152 citations) and Human-Computer Interaction (15 citations). Shuvendu Roy has collaborated with scholars based in Bangladesh, Canada and United Kingdom. Frequent co-authors include M. A. H. Akhand, Nazmul Siddique, Tetsuya Shimamura, Md Abdus Samad Kamal and Ali Etemad. Their work appears in journals such as Electronics, IEEE Transactions on Affective Computing and ACM Transactions on Multimedia Computing Communications and Applications.
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.