Swalpa Kumar Roy
- Media Technology top 0.05%
- Remote-Sensing Image Classification 38
- Advanced Image Fusion Techniques 15
- Atmospheric Science top 1%
- Remote Sensing and Land Use 23
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- Advanced Image and Video Retrieval Techniques 15
- Image Retrieval and Classification Techniques 10
- Medical Image Segmentation Techniques 6
- Analytical Chemistry top 2%
- Computational Mathematics top 10%
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- Remote Sensing in Agriculture 11
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- Remote Sensing and LiDAR Applications 7
Swalpa Kumar Roy
64 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Media Technology 3.0k
- Atmospheric Science 1.7k
- Computer Vision and Pattern Recognition 1.1k
- Analytical Chemistry 232
- Computational Mathematics 13
Countries citing papers authored by Swalpa Kumar Roy
This map shows the geographic impact of Swalpa Kumar 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 Swalpa Kumar Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swalpa Kumar Roy more than expected).
Fields of papers citing papers by Swalpa Kumar Roy
This network shows the impact of papers produced by Swalpa Kumar 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 Swalpa Kumar Roy. The network helps show where Swalpa Kumar Roy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Swalpa Kumar Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classificationbreakdown → | 2024 | 53 |
| 6 | 2024 | 32 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 14 | |
| 9 | Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classificationbreakdown → | 2023 | 217 |
| 10 | 2023 | 14 | |
| 11 | 2023 | 55 | |
| 12 | 2022 | 14 | |
| 13 | Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detectionbreakdown → | 2022 | 126 |
| 14 | 2021 | 8 | |
| 15 | 2021 | 81 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 75 | |
| 18 | 2020 | 31 | |
| 19 | Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classificationbreakdown → | 2020 | 383 |
| 20 | HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classificationbreakdown → | 2019 | 1296 |
About Swalpa Kumar Roy
Swalpa Kumar Roy is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 71 papers that have together received 4.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (38 papers), Remote Sensing and Land Use (23 papers), Advanced Image Fusion Techniques (15 papers), Advanced Image and Video Retrieval Techniques (15 papers), Remote Sensing in Agriculture (11 papers), Image Retrieval and Classification Techniques (10 papers), Remote Sensing and LiDAR Applications (7 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Media Technology (3.0k citations), Atmospheric Science (1.7k citations) and Computer Vision and Pattern Recognition (1.1k citations). Swalpa Kumar Roy has collaborated with scholars based in India, China and Canada. Frequent co-authors include B.B. Chaudhuri, Shiv Ram Dubey, Danfeng Hong, Antonio Plaza, Jocelyn Chanussot, Tiecheng Song, Lorenzo Bruzzone, Suvojit Manna, Juan M. Haut and Behnood Rasti. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.
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.