Bharath Subramani

695 total citations
30 papers, 477 citations indexed

About

Bharath Subramani is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Bharath Subramani has authored 30 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 17 papers in Media Technology and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Bharath Subramani's work include Image Enhancement Techniques (20 papers), Advanced Image Fusion Techniques (17 papers) and Advanced Image Processing Techniques (12 papers). Bharath Subramani is often cited by papers focused on Image Enhancement Techniques (20 papers), Advanced Image Fusion Techniques (17 papers) and Advanced Image Processing Techniques (12 papers). Bharath Subramani collaborates with scholars based in India. Bharath Subramani's co-authors include Magudeeswaran Veluchamy, Ashish Kumar Bhandari, R. Krishnaveni and P. K. Palani and has published in prestigious journals such as Applied Soft Computing, IEEE Transactions on Instrumentation and Measurement and Measurement.

In The Last Decade

Bharath Subramani

26 papers receiving 458 citations

Peers

Bharath Subramani

CVPR

RNMI

AMPO

Magudeeswaran Veluchamy India

Hrushikesh Garud India

Bhupendra Gupta India

Weilong Hou China

Domonkos Varga Hungary

David Helbert France

Ruichao Hou China

Sarif Kumar Naik India

Yudong Liang China

Magudeeswaran Veluchamy India

Bharath Subramani

391 ×1.0

CVPR

233 ×1.0

42 ×1.0

RNMI

37 ×1.0

30 ×1.0

AMPO

Citations per year, relative to Bharath Subramani Bharath Subramani (= 1×) peers Magudeeswaran Veluchamy

Countries citing papers authored by Bharath Subramani

Since Specialization

Citations

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

Fields of papers citing papers by Bharath Subramani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bharath Subramani

This figure shows the co-authorship network connecting the top 25 collaborators of Bharath Subramani. A scholar is included among the top collaborators of Bharath Subramani 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 Bharath Subramani. Bharath Subramani 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

Palani, P. K., Bharath Subramani, & Magudeeswaran Veluchamy. (2025). Adaptive degradation-aware medical image enhancement for multi-modal diagnostics. Biomedical Signal Processing and Control. 112. 108822–108822.

Subramani, Bharath & Magudeeswaran Veluchamy. (2025). Contrast-Aware multiscale decomposition and noise suppression framework for reliable clinical measurements in degraded medical images. Measurement. 257. 118746–118746.

Veluchamy, Magudeeswaran & Bharath Subramani. (2025). Detail preserving noise aware retinex model for low light image enhancement. Journal of Optics. 3 indexed citations

Subramani, Bharath & Magudeeswaran Veluchamy. (2024). Pixel intensity optimization and detail-preserving contextual contrast enhancement for underwater images. Optics & Laser Technology. 180. 111464–111464. 8 indexed citations

Subramani, Bharath, et al.. (2024). A hybrid deep learning approach for cervical cancer segmentation and classification. International Journal of Ad Hoc and Ubiquitous Computing. 47(4). 209–226.

Subramani, Bharath, et al.. (2023). Optimized hybrid deep learning pipelines for processing heterogeneous facial expression datasets. Measurement Sensors. 31. 100938–100938. 6 indexed citations

Subramani, Bharath & Magudeeswaran Veluchamy. (2023). Bilateral tone mapping scheme for color correction and contrast adjustment in nearly invisible medical images. Color Research & Application. 48(6). 748–760. 7 indexed citations

Subramani, Bharath, et al.. (2023). An Optimization Feature Extraction Technique using Intrusion Detection System. International Research Journal of Modernization in Engineering Technology and Science. 2 indexed citations

Subramani, Bharath, et al.. (2022). A novel approach for MR brain tumor classification and detection using optimal CNN‐SVM model. International Journal of Imaging Systems and Technology. 33(2). 746–759. 5 indexed citations

10.

Bhandari, Ashish Kumar, Bharath Subramani, & Magudeeswaran Veluchamy. (2022). Multi-exposure optimized contrast and brightness balance color image enhancement. Digital Signal Processing. 123. 103406–103406. 16 indexed citations

11.

Veluchamy, Magudeeswaran, Ashish Kumar Bhandari, & Bharath Subramani. (2021). Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(3). 602–612. 28 indexed citations

12.

Subramani, Bharath & Magudeeswaran Veluchamy. (2020). Fuzzy Gray Level Difference Histogram Equalization for Medical Image Enhancement. Journal of Medical Systems. 44(6). 103–103. 39 indexed citations

13.

Subramani, Bharath & Magudeeswaran Veluchamy. (2020). A fast and effective method for enhancement of contrast resolution properties in medical images. Multimedia Tools and Applications. 79(11-12). 7837–7855. 18 indexed citations

14.

Subramani, Bharath & Magudeeswaran Veluchamy. (2020). Quadrant dynamic clipped histogram equalization with gamma correction for color image enhancement. Color Research & Application. 45(4). 644–655. 20 indexed citations

15.

Veluchamy, Magudeeswaran & Bharath Subramani. (2020). Fuzzy dissimilarity color histogram equalization for contrast enhancement and color correction. Applied Soft Computing. 89. 106077–106077. 40 indexed citations

16.

Subramani, Bharath, et al.. (2019). A Robust Artificial Intelligence: Smart Indoor Positioning System. International Journal of Innovative Technology and Exploring Engineering. 8(10). 1393–1398. 2 indexed citations

17.

Subramani, Bharath, et al.. (2019). Computer Aided Classification and Detection of Leaf Disease using ANN. International Journal of Innovative Technology and Exploring Engineering. 8(10). 1347–1353. 2 indexed citations

18.

Veluchamy, Magudeeswaran, et al.. (2019). Brightness preserving optimized weighted bi‐histogram equalization algorithm and its application to MR brain image segmentation. International Journal of Imaging Systems and Technology. 29(3). 339–352. 14 indexed citations

19.

Subramani, Bharath & Magudeeswaran Veluchamy. (2019). Fuzzy contextual inference system for medical image enhancement. Measurement. 148. 106967–106967. 22 indexed citations

20.

Subramani, Bharath & R. Krishnaveni. (2013). A Study on Employee Loyalty towards the Organisation in Coimbatore Based Textile Industry. 4(1). 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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