Prabir Kumar Biswas

3.3k total citations
155 papers, 2.3k citations indexed

About

Prabir Kumar Biswas is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Prabir Kumar Biswas has authored 155 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 29 papers in Media Technology and 27 papers in Artificial Intelligence. Recurrent topics in Prabir Kumar Biswas's work include Image Retrieval and Classification Techniques (19 papers), Advanced Vision and Imaging (18 papers) and Advanced Image Processing Techniques (14 papers). Prabir Kumar Biswas is often cited by papers focused on Image Retrieval and Classification Techniques (19 papers), Advanced Vision and Imaging (18 papers) and Advanced Image Processing Techniques (14 papers). Prabir Kumar Biswas collaborates with scholars based in India, United States and Japan. Prabir Kumar Biswas's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Prabir Kumar Biswas

147 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prabir Kumar Biswas India 23 1.5k 488 316 155 115 155 2.3k
Qiang Chen China 25 1.4k 0.9× 388 0.8× 381 1.2× 123 0.8× 61 0.5× 104 2.4k
Rushi Lan China 28 1.7k 1.1× 503 1.0× 606 1.9× 196 1.3× 61 0.5× 167 2.4k
Hassan Qjidaa Morocco 29 1.9k 1.3× 340 0.7× 400 1.3× 128 0.8× 80 0.7× 234 2.9k
Guowei Yang China 25 1.0k 0.7× 477 1.0× 338 1.1× 43 0.3× 121 1.1× 147 2.1k
T. Pavlidis United States 22 1.6k 1.1× 295 0.6× 267 0.8× 54 0.3× 128 1.1× 54 2.3k
Lingfeng Wang China 26 1.5k 1.0× 634 1.3× 719 2.3× 71 0.5× 70 0.6× 110 2.4k
Yuantao Chen China 24 1.3k 0.9× 477 1.0× 318 1.0× 100 0.6× 58 0.5× 56 2.1k
Jiande Sun China 27 1.7k 1.2× 507 1.0× 472 1.5× 132 0.9× 121 1.1× 188 2.8k
Guna Seetharaman United States 24 1.5k 1.0× 312 0.6× 410 1.3× 55 0.4× 167 1.5× 139 2.1k

Countries citing papers authored by Prabir Kumar Biswas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Singh, Naseeb, V.K. Tewari, & Prabir Kumar Biswas. (2024). Vision transformers for cotton boll segmentation: Hyperparameters optimization and comparison with convolutional neural networks. Industrial Crops and Products. 223. 120241–120241. 1 indexed citations
2.
Verma, Ashish, et al.. (2024). Artificially Generated Visual Scanpath Improves Multilabel Thoracic Disease Classification in Chest X-Ray Images. IEEE Transactions on Instrumentation and Measurement. 73. 1–11.
3.
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5.
Singh, Naseeb, et al.. (2024). In-field performance evaluation of robotic arm developed for harvesting cotton bolls. Computers and Electronics in Agriculture. 227. 109517–109517. 5 indexed citations
6.
Singh, Naseeb, et al.. (2023). Optimizing cotton‐picking robotic manipulator and inverse kinematics modeling using evolutionary algorithm‐assisted artificial neural network. Journal of Field Robotics. 41(7). 2322–2342. 4 indexed citations
7.
Biswas, Prabir Kumar, et al.. (2023). Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5603–5612. 7 indexed citations
8.
Biswas, Prabir Kumar, et al.. (2023). Texture aware autoencoder pre-training and pairwise learning refinement for improved iris recognition. Multimedia Tools and Applications. 82(16). 25381–25401. 2 indexed citations
9.
Biswas, Prabir Kumar, et al.. (2021). Structural similarity-based rate control algorithm for 3D video. Multimedia Tools and Applications. 1 indexed citations
10.
Mukherjee, Jayanta, et al.. (2016). Toward Automated Land Cover Classification in Landsat Images Using Spectral Slopes at Different Bands. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(3). 1096–1104. 8 indexed citations
11.
Datta, Raja, et al.. (2011). Busy tone contention protocol: a new high‐throughput and energy‐efficient wireless local area network medium access control protocol using busy tone. International Journal of Communication Systems. 25(8). 991–1014. 16 indexed citations
12.
Nandedkar, Abhijeet V. & Prabir Kumar Biswas. (2009). A Granular Reflex Fuzzy Min–Max Neural Network for Classification. IEEE Transactions on Neural Networks. 20(7). 1117–1134. 34 indexed citations
13.
Biswas, Prabir Kumar, et al.. (2008). VLSI Implementation of Fast Connected Component Labeling Using Finite State Machine Based Cell Network. 238–243. 5 indexed citations
14.
Nandedkar, Abhijeet V. & Prabir Kumar Biswas. (2007). A General Reflex Fuzzy Min-Max Neural Network. Engineering letters. 14. 195–205. 22 indexed citations
15.
Kokare, Manesh, Prabir Kumar Biswas, & Β.N. Chatterji. (2006). Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 36(6). 1273–1282. 104 indexed citations
16.
Kokare, Manesh, Prabir Kumar Biswas, & Β.N. Chatterji. (2005). Texture Image Retrieval Using New Rotated Complex Wavelet Filters. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 35(6). 1168–1178. 176 indexed citations
17.
Manthalkar, Ramchandra, et al.. (2002). Rotation Invariant Color Texture Classification in Perceptually Uniform Color Spaces.. 5 Suppl 1. S388–90. 5 indexed citations
18.
Kokare, Manesh, et al.. (2002). M-Band Wavelet Based Texture Features for Content Based Image Retrieval.. 35(3-4). 236–40. 11 indexed citations
19.
Biswas, Prabir Kumar, et al.. (1994). Phosphorylated CNSL prepolymer as a foundry sand. core binder. Indian Journal of Engineering and Materials Sciences. 1(2). 99–106. 1 indexed citations
20.
Biswas, Prabir Kumar, et al.. (1988). Unified study of the different physical properties of amorphous polymers. Colloid & Polymer Science. 266(6). 501–508. 7 indexed citations

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.

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