P. V. Sudeep

425 total citations
14 papers, 247 citations indexed

About

P. V. Sudeep is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology. According to data from OpenAlex, P. V. Sudeep has authored 14 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Media Technology. Recurrent topics in P. V. Sudeep's work include Image and Signal Denoising Methods (9 papers), Advanced Image Fusion Techniques (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). P. V. Sudeep is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Advanced Image Fusion Techniques (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). P. V. Sudeep collaborates with scholars based in India, United States and Belgium. P. V. Sudeep's co-authors include Jeny Rajan, P. Palanisamy, Chandrasekharan Kesavadas, Hediyeh Baradaran, Ajay Gupta, Luca Saba, Jasjit S. Suri, Xiaojun Yu, Yuemei Luo and Swamidoss Issac Niwas and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and Computer Methods and Programs in Biomedicine.

In The Last Decade

P. V. Sudeep

13 papers receiving 240 citations

Peers

P. V. Sudeep

CVPR

RNMI

Sima Sahu India

Xuli Zong United States

Lingjiao Pan China

Sonali Sonali India

Magudeeswaran Veluchamy India

Minfeng Xu China

Pengshuai Yin China

Worku Jifara China

S. Anand India

Sima Sahu India

P. V. Sudeep

176 ×1.0

CVPR

65 ×0.7

173 ×2.7

RNMI

39 ×0.8

43 ×1.7

Citations per year, relative to P. V. Sudeep P. V. Sudeep (= 1×) peers Sima Sahu

Countries citing papers authored by P. V. Sudeep

Since Specialization

Citations

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

Fields of papers citing papers by P. V. Sudeep

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. V. Sudeep. 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 P. V. Sudeep. The network helps show where P. V. Sudeep may publish in the future.

Co-authorship network of co-authors of P. V. Sudeep

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

All Works

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14 of 14 papers shown

Sudeep, P. V., et al.. (2022). Image Captioning Encoder–Decoder Models Using CNN-RNN Architectures: A Comparative Study. Circuits Systems and Signal Processing. 41(10). 5719–5742. 15 indexed citations

Kesavadas, Chandrasekharan, et al.. (2022). An Improved Deep Persistent Memory Network for Rician Noise Reduction in MR Images. Biomedical Signal Processing and Control. 77. 103736–103736. 6 indexed citations

Sudeep, P. V., et al.. (2022). A hybrid low-light image enhancement method using Retinex decomposition and deep light curve estimation. Optik. 260. 169023–169023. 11 indexed citations

Sudeep, P. V., et al.. (2021). Transformer models for enhancing AttnGAN based text to image generation. Image and Vision Computing. 115. 104284–104284. 22 indexed citations

Sudeep, P. V., et al.. (2021). ADMM based Deep Denoiser Prior for Enhancing Single Coil Magnitude MR images. 1–6. 2 indexed citations

Gupta, Kunal, et al.. (2020). Hardware Implementation of Sign Language to Text Converter Using Deep Neural Networks. SSRN Electronic Journal. 1 indexed citations

Sudeep, P. V., et al.. (2018). Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure. IEEE Access. 6. 66914–66922. 14 indexed citations

Sudeep, P. V., P. Palanisamy, Chandrasekharan Kesavadas, & Jeny Rajan. (2018). An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels. Pattern Recognition Letters. 139. 34–41. 13 indexed citations

Kothari, Abhishek, et al.. (2017). A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans. Computer Methods and Programs in Biomedicine. 153. 105–114. 14 indexed citations

10.

Sudeep, P. V., Swamidoss Issac Niwas, P. Palanisamy, et al.. (2016). Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering. Computers in Biology and Medicine. 71. 97–107. 40 indexed citations

11.

Sudeep, P. V., P. Palanisamy, Jeny Rajan, et al.. (2016). Speckle reduction in medical ultrasound images using an unbiased non-local means method. Biomedical Signal Processing and Control. 28. 1–8. 77 indexed citations

12.

Sudeep, P. V., P. Palanisamy, Chandrasekharan Kesavadas, et al.. (2016). A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps. Signal Image and Video Processing. 11(5). 913–920. 3 indexed citations

13.

Sudeep, P. V., P. Palanisamy, Chandrasekharan Kesavadas, & Jeny Rajan. (2015). Nonlocal linear minimum mean square error methods for denoising MRI. Biomedical Signal Processing and Control. 20. 125–134. 28 indexed citations

14.

Sudeep, P. V., P. Palanisamy, & Jeny Rajan. (2013). A Hybrid Model for Rician Noise Reduction in MRI. 28. 56–61. 1 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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