Prabir Kumar Biswas
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Β.N. ChatterjiManesh KokareAbhijeet V. NandedkarRajlaxmi ChouhanRamchandra ManthalkarDebashis SenRajib Kumar JhaC. V. Jawahar
- Topics
- Image Retrieval and Classification Techniques (19 papers)Advanced Vision and Imaging (18 papers)Advanced Image Processing Techniques (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingPattern Recognition
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Prabir Kumar Biswas
147 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 1.5k
- Media Technology 488
- Artificial Intelligence 316
- Radiology, Nuclear Medicine and Imaging 155
- Computer Networks and Communications 115
Countries citing papers authored by Prabir Kumar Biswas
This map shows the geographic impact of Prabir Kumar Biswas'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 Prabir Kumar Biswas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabir Kumar Biswas more than expected).
Fields of papers citing papers by Prabir Kumar Biswas
This network shows the impact of papers produced by Prabir Kumar Biswas. 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 Prabir Kumar Biswas. The network helps show where Prabir Kumar Biswas may publish in the future.
Co-authorship network of co-authors of Prabir Kumar Biswas
This figure shows the co-authorship network connecting the top 25 collaborators of Prabir Kumar Biswas. A scholar is included among the top collaborators of Prabir Kumar Biswas 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 Prabir Kumar Biswas. Prabir Kumar Biswas 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 | 13 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 34 | |
| 13 | 5 | |
| 14 | A General Reflex Fuzzy Min-Max Neural Network | 22 |
| 15 | 104 | |
| 16 | 176 | |
| 17 | 5 | |
| 18 | M-Band Wavelet Based Texture Features for Content Based Image Retrieval. | 11 |
| 19 | Phosphorylated CNSL prepolymer as a foundry sand. core binder | 1 |
| 20 | 7 |
About Prabir Kumar Biswas
Prabir Kumar Biswas is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Media Technology, having authored 155 papers that have together received 2.3k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (19 papers), Advanced Vision and Imaging (18 papers) and Advanced Image Processing Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Media Technology (488 citations) and Acoustics and Ultrasonics (29 citations). Prabir Kumar Biswas has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Β.N. Chatterji, Manesh Kokare, Abhijeet V. Nandedkar, Rajlaxmi Chouhan, Ramchandra Manthalkar, Debashis Sen, Rajib Kumar Jha, C. V. Jawahar, Arup Ray and Pabitra Mitra. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Pattern Recognition.
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.