Biplab Banerjee
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Artificial Intelligence top 5%
- Atmospheric Science top 10%
- Ecology top 10%
- Co-authors
- Subhasis ChaudhuriAvik BhattacharyaShivam PandeUshasi ChaudhuriKrishna Mohan BuddhirajuMihai DatcuAnkit JhaDebabrata Pal
- Topics
- Remote-Sensing Image Classification (48 papers)Domain Adaptation and Few-Shot Learning (45 papers)Advanced Image and Video Retrieval Techniques (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingExpert Systems with Applications
In The Last Decade
Biplab Banerjee
111 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 669
- Media Technology 660
- Artificial Intelligence 421
- Atmospheric Science 231
- Ecology 125
Countries citing papers authored by Biplab Banerjee
This map shows the geographic impact of Biplab Banerjee'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 Biplab Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biplab Banerjee more than expected).
Fields of papers citing papers by Biplab Banerjee
This network shows the impact of papers produced by Biplab Banerjee. 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 Biplab Banerjee. The network helps show where Biplab Banerjee may publish in the future.
Co-authorship network of co-authors of Biplab Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Biplab Banerjee. A scholar is included among the top collaborators of Biplab Banerjee 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 Biplab Banerjee. Biplab Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 16 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 22 | |
| 20 | Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning. | 4 |
About Biplab Banerjee
Biplab Banerjee is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 123 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (48 papers), Domain Adaptation and Few-Shot Learning (45 papers) and Advanced Image and Video Retrieval Techniques (30 papers). The work is most often cited by research in Media Technology (660 citations), Computer Vision and Pattern Recognition (669 citations) and Artificial Intelligence (421 citations). Biplab Banerjee has collaborated with scholars based in India, Germany and Italy. Frequent co-authors include Subhasis Chaudhuri, Avik Bhattacharya, Shivam Pande, Ushasi Chaudhuri, Krishna Mohan Buddhiraju, Mihai Datcu, Ankit Jha, Debabrata Pal, Francesca Bovolo and Lorenzo Bruzzone. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with 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.