B. Paulchamy

509 total citations
29 papers, 127 citations indexed

About

B. Paulchamy is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, B. Paulchamy has authored 29 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Neurology and 7 papers in Artificial Intelligence. Recurrent topics in B. Paulchamy's work include Brain Tumor Detection and Classification (8 papers), AI in cancer detection (5 papers) and Image and Signal Denoising Methods (4 papers). B. Paulchamy is often cited by papers focused on Brain Tumor Detection and Classification (8 papers), AI in cancer detection (5 papers) and Image and Signal Denoising Methods (4 papers). B. Paulchamy collaborates with scholars based in India, United States and Oman. B. Paulchamy's co-authors include R Maheshwari, Binay Kumar Pandey, Digvijay Pandey, J. Jaya, Anisha Gopalakrishnan, K. Martin Sagayam, S. Kumarganesh, R. Sivakumar, Arun Meyyazhagan and R. Rajavel and has published in prestigious journals such as Scientific Reports, Multimedia Tools and Applications and Plasmonics.

In The Last Decade

B. Paulchamy

26 papers receiving 115 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Paulchamy India 6 35 26 23 21 21 29 127
G. R. Sreekanth India 9 47 1.3× 47 1.8× 23 1.0× 30 1.4× 20 1.0× 23 245
Shaikh Muhammad Allayear Bangladesh 8 42 1.2× 36 1.4× 22 1.0× 14 0.7× 6 0.3× 18 140
Shruti Bhargava Choubey India 8 62 1.8× 43 1.7× 15 0.7× 25 1.2× 11 0.5× 39 166
Anju Yadav India 6 33 0.9× 38 1.5× 12 0.5× 15 0.7× 10 0.5× 24 133
Tong Zhou China 6 38 1.1× 37 1.4× 12 0.5× 13 0.6× 8 0.4× 46 128
Muhammad Minoar Hossain Bangladesh 9 74 2.1× 32 1.2× 19 0.8× 19 0.9× 23 1.1× 35 241
Radha Raman Chandan India 8 71 2.0× 26 1.0× 47 2.0× 19 0.9× 9 0.4× 34 186
B. Uma Maheswari India 7 43 1.2× 44 1.7× 15 0.7× 8 0.4× 8 0.4× 36 146
D. N. V. S. L. S. Indira India 6 32 0.9× 21 0.8× 9 0.4× 10 0.5× 13 0.6× 25 116
Jun Hou China 7 57 1.6× 44 1.7× 12 0.5× 10 0.5× 8 0.4× 30 139

Countries citing papers authored by B. Paulchamy

Since Specialization
Citations

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

Fields of papers citing papers by B. Paulchamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Paulchamy

This figure shows the co-authorship network connecting the top 25 collaborators of B. Paulchamy. A scholar is included among the top collaborators of B. Paulchamy 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 B. Paulchamy. B. Paulchamy 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
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Rajavel, R., et al.. (2024). An improved ensemble deep learning framework for glaucoma detection. Multimedia Tools and Applications. 84(22). 25309–25323. 1 indexed citations
4.
Paulchamy, B., et al.. (2024). Deepfake Detection using Integrate-backward-integrate Logic Optimization Algorithm with CNN. International Journal of Electrical and Electronics Research. 12(2). 696–710. 13 indexed citations
5.
Jaya, J., et al.. (2024). An efficient breast cancer classification model using bilateral filtering and fuzzy convolutional neural network. Scientific Reports. 14(1). 6290–6290. 6 indexed citations
6.
Maheshwari, R, B. Paulchamy, Binay Kumar Pandey, & Digvijay Pandey. (2024). Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection. Plasmonics. 20(5). 2945–2964. 20 indexed citations
7.
Paulchamy, B., et al.. (2024). Integrating Sentiment Analysis with Learning Analytics for Improved Student. International Journal of Computational and Experimental Science and Engineering. 10(4). 4 indexed citations
8.
Maheshwari, R, S. Kumarganesh, Anisha Gopalakrishnan, et al.. (2024). Advanced Plasmonic Resonance-enhanced Biosensor for Comprehensive Real-time Detection and Analysis of Deepfake Content. Plasmonics. 31 indexed citations
9.
Paulchamy, B., et al.. (2023). Detection of glioma on brain MRIs using adaptive segmentation and modified graph neural network based classification. Automatika. 64(4). 1268–1279. 1 indexed citations
10.
Rajavel, R., et al.. (2023). Improved ensemble deep learning based retinal disease detection using image processing. Journal of Intelligent & Fuzzy Systems. 45(1). 1119–1130. 6 indexed citations
11.
Jaya, J., et al.. (2023). A modified recurrent neural network (MRNN) model for and breast cancer classification system. Automatika. 64(4). 1193–1203. 3 indexed citations
12.
Paulchamy, B., et al.. (2022). Deep Learning Based Image Classification Using Small VGG Net Architecture. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 1–6. 4 indexed citations
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Paulchamy, B., et al.. (2021). Implementation Of Proficient Agriculture Using IoT With Machine Learning and Mobile Application. 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC). 1860–1870. 3 indexed citations
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Paulchamy, B., et al.. (2021). Novel Framework for Predictive Analytics of Brain Tumor Segmentation Using Recurrent Neural Network. 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC). 2018–2031. 3 indexed citations
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Jaya, J., et al.. (2021). Neural Network Based Filtering Method for Cancer Detection. The Open Biomedical Engineering Journal. 15(1). 163–169. 1 indexed citations
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Paulchamy, B., et al.. (2021). Removal of Artifacts from Electroenchaphalography Signal using Multiwavelet Transform. Journal of Physics Conference Series. 1921(1). 12008–12008. 2 indexed citations
18.
Paulchamy, B.. (2017). Efficient Removal of Artifacts from EEG SIGNAL Using Enhanced Hybrid Learning Method. Studies on Ethno-Medicine. 11(4). 359–365. 2 indexed citations
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Paulchamy, B., et al.. (2014). Detection of Breast Cancer Using ArtificialNeural Networks. International Journal of Innovative Research in Science Engineering and Technology. 3(3). 4 indexed citations
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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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