S. Dey
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Computational Mechanics
- Signal Processing
- Molecular Biology
- Topics
- Sparse and Compressive Sensing Techniques (3 papers)Blind Source Separation Techniques (3 papers)Network Security and Intrusion Detection (3 papers)
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsCurrent GeneticsSub-cellular biochemistry
- Partner nations
- IndiaUnited States
In The Last Decade
S. Dey
9 papers receiving 49 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 20
- Artificial Intelligence 14
- Computational Mechanics 12
- Signal Processing 10
- Molecular Biology 9
Countries citing papers authored by S. Dey
This map shows the geographic impact of S. Dey'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 S. Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Dey more than expected).
Fields of papers citing papers by S. Dey
This network shows the impact of papers produced by S. Dey. 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 S. Dey. The network helps show where S. Dey may publish in the future.
Co-authorship network of co-authors of S. Dey
This figure shows the co-authorship network connecting the top 25 collaborators of S. Dey. A scholar is included among the top collaborators of S. Dey 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 S. Dey. S. Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | Facial Expression Recognition in Video Call | 1 |
| 9 | 16 | |
| 10 | Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning. | 1 |
| 11 | 0 | |
| 12 | 9 |
About S. Dey
S. Dey is a scholar working on Signal Processing, Computational Mechanics and Computer Networks and Communications, having authored 12 papers that have together received 66 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Blind Source Separation Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (20 citations), Signal Processing (10 citations) and Health Informatics (1 citation). S. Dey has collaborated with scholars based in India and United States. Frequent co-authors include Demba Ba, Ayon Pal, Mohammad Obaid, Shawn Khan, Prem Nath, Nadeem Anjum and Suman Paul. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Current Genetics and Sub-cellular biochemistry.
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.