Subhasis Chaudhuri

7.9k total citations · 1 hit paper
219 papers, 5.5k citations indexed

About

Subhasis Chaudhuri is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Subhasis Chaudhuri has authored 219 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Computer Vision and Pattern Recognition, 74 papers in Media Technology and 29 papers in Artificial Intelligence. Recurrent topics in Subhasis Chaudhuri's work include Advanced Vision and Imaging (45 papers), Image Processing Techniques and Applications (37 papers) and Advanced Image Processing Techniques (36 papers). Subhasis Chaudhuri is often cited by papers focused on Advanced Vision and Imaging (45 papers), Image Processing Techniques and Applications (37 papers) and Advanced Image Processing Techniques (36 papers). Subhasis Chaudhuri collaborates with scholars based in India, United States and Italy. Subhasis Chaudhuri's co-authors include S. Chatterjee, Michael H. Goldbaum, Mark Nelson, A. N. Rajagopalan, Lorenzo Bruzzone, Moon Gi Kang, Biplab Banerjee, Ketan Kotwal, Deepu Rajan and Shanmuganathan Raman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Subhasis Chaudhuri

209 papers receiving 5.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Detection of blood vessels in retinal images using two-dimensional matched filters

1989 1.2k citations Subhasis Chaudhuri, Mark Nelson et al. profile →

Peers

Subhasis Chaudhuri

CVPR

MT

RNMI

OPHTH

BE

Yoichi Sato Japan

Nicolai Petkov Netherlands

Vijayan K. Asari United States

Majid Mirmehdi United Kingdom

Pratul P. Srinivasan United States

Ashok Veeraraghavan United States

S.L. Eddins United States

Domènec Puig Spain

Sim Heng Ong Singapore

Trey Greer United States

Yoichi Sato Japan

Subhasis Chaudhuri

4.5k ×1.3

CVPR

534 ×0.3

MT

369 ×0.3

RNMI

400 ×0.5

OPHTH

619 ×1.3

BE

Citations per year, relative to Subhasis Chaudhuri Subhasis Chaudhuri (= 1×) peers Yoichi Sato

Countries citing papers authored by Subhasis Chaudhuri

Since Specialization

Citations

This map shows the geographic impact of Subhasis Chaudhuri'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 Subhasis Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhasis Chaudhuri more than expected).

Fields of papers citing papers by Subhasis Chaudhuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhasis Chaudhuri. 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 Subhasis Chaudhuri. The network helps show where Subhasis Chaudhuri may publish in the future.

Co-authorship network of co-authors of Subhasis Chaudhuri

This figure shows the co-authorship network connecting the top 25 collaborators of Subhasis Chaudhuri. A scholar is included among the top collaborators of Subhasis Chaudhuri 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 Subhasis Chaudhuri. Subhasis Chaudhuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Mukherjee, Samrat Kumar, et al.. (2025). Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation. 11810–11821.

2.

Pande, Shivam, et al.. (2019). An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification. DSpace (IIT Bombay). 4571–4580. 22 indexed citations

3.

Banerjee, Biplab, et al.. (2018). Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning.. DSpace (IIT Bombay). 218. 4 indexed citations

4.

Chaudhuri, Bindita, Begüm Demir, Subhasis Chaudhuri, & Lorenzo Bruzzone. (2017). Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method. IEEE Transactions on Geoscience and Remote Sensing. 56(2). 1144–1158. 166 indexed citations

5.

De, Shaunak, Lorenzo Bruzzone, Avik Bhattacharya, Francesca Bovolo, & Subhasis Chaudhuri. (2017). A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(1). 154–170. 74 indexed citations

6.

Yadav, B. C., Ritesh Kumar, Ravindra Kumar, Subhasis Chaudhuri, & Panchanan Pramanik. (2017). Electrical Behaviour of Chitosan-Silver Nanocomposite in Presence of Water Vapour. SHILAP Revista de lepidopterología. 2(2). 71–79. 6 indexed citations

7.

Chaudhuri, Subhasis, et al.. (2014). Temporally Adaptive, Partially Unsupervised Classifiers for Remote Sensing Images. IETE Technical Review.

8.

Kotwal, Ketan & Subhasis Chaudhuri. (2011). An optimization-based approach to fusion of multi-exposure, low dynamic range images. International Conference on Information Fusion. 1–7. 15 indexed citations

9.

Hinterseer, P., Julius Kammerl, Eckehard Steinbach, & Subhasis Chaudhuri. (2007). The Weber quantizer: perceptual coding for networked telepresence and teleaction. 29.

10.

Chaudhuri, Subhasis, et al.. (2006). Analysis of Ambulatory ECG Signal. PubMed. 2006. 3094–3097. 16 indexed citations

11.

Joshi, Manjunath V. & Subhasis Chaudhuri. (2005). Joint blind restoration and surface recovery in photometric stereo. Journal of the Optical Society of America A. 22(6). 1066–1066. 11 indexed citations

12.

Namboodiri, Vinay P. & Subhasis Chaudhuri. (2004). Use of Linear Diffusion in Depth Estimation Based on Defocus Cue.. 133–138. 4 indexed citations

13.

Mukherjee, Anirban, Subhasis Chaudhuri, Pranab Kumar Dutta, Siddhartha Sen, & Amit Patra. (2004). A novel shape-based coding-decoding technique for an industrial visual inspection system. ISA Transactions. 43(1). 3–12. 1 indexed citations

14.

Jiji, C. V. & Subhasis Chaudhuri. (2004). PCA Based Generalized Interpolation for Image Super-Resolution.. 139–144. 9 indexed citations

15.

Chaudhuri, Subhasis, et al.. (2002). Content Based Image Retrieval Using Motif Cooccurence Matrix.. 8 indexed citations

16.

Jain, Amit Kumar & Subhasis Chaudhuri. (2002). A Fast Method for Textual Annotation of Compressed Video.. 2 indexed citations

17.

Rajan, Deepu & Subhasis Chaudhuri. (2000). An MRF-Based Approach to Generation of Super-Resolution Images from Blurred Observations.. Vision Modeling and Visualization. 47–54. 2 indexed citations

18.

Rajagopalan, A. N., et al.. (2000). Quantitative analysis of error bounds in the recovery of depth from defocused images. Journal of the Optical Society of America A. 17(10). 1722–1722. 6 indexed citations

19.

Chaudhuri, Subhasis, et al.. (1997). Robust detection of skew in document images. IEEE Transactions on Image Processing. 6(2). 344–349. 61 indexed citations

20.

Goldbaum, Michael H., et al.. (1989). Image Understanding for Automated Retinal Diagnosis.. PubMed Central. 756–760. 22 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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