J. Surendiran

487 total citations
28 papers, 209 citations indexed

About

J. Surendiran is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Surendiran has authored 28 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Electrical and Electronic Engineering and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Surendiran's work include Advanced Image and Video Retrieval Techniques (5 papers), Electric Vehicles and Infrastructure (4 papers) and Advanced Battery Technologies Research (4 papers). J. Surendiran is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Electric Vehicles and Infrastructure (4 papers) and Advanced Battery Technologies Research (4 papers). J. Surendiran collaborates with scholars based in India. J. Surendiran's co-authors include R.G. Vidhya, D. Saravanan, N. Yuvaraj, M. Ramkumar, M. Meena, N. Balaji, Syed Noeman Taqui, Praveen Kumar Balachandran, Vijayan Venugopal and Siyamalan Manivannan and has published in prestigious journals such as Materials Today Proceedings, International Journal of Engineering and Advanced Technology and 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT).

In The Last Decade

J. Surendiran

24 papers receiving 197 citations

Peers

J. Surendiran
J. Surendiran
Citations per year, relative to J. Surendiran J. Surendiran (= 1×) peers Devendra Somwanshi

Countries citing papers authored by J. Surendiran

Since Specialization
Citations

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

Fields of papers citing papers by J. Surendiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Surendiran

This figure shows the co-authorship network connecting the top 25 collaborators of J. Surendiran. A scholar is included among the top collaborators of J. Surendiran 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 J. Surendiran. J. Surendiran 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.
Surendiran, J., et al.. (2024). A Systemic Review on Automatic Acoustic Scene Classification. 1–6. 1 indexed citations
2.
Manivannan, Siyamalan, et al.. (2024). Ai-Siot Hybrid Architecture for Seamless Integration of IoT in Smart Cities. 393–399.
3.
Saravanan, T., et al.. (2023). Smart Monitoring of DC Power in E-Vehicle and Regenerative Charging Technique. 1–4. 2 indexed citations
4.
Surendiran, J., et al.. (2022). IoT-Based Advanced Electric Vehicle Charging Infrastructure. 1–6. 4 indexed citations
6.
Surendiran, J., et al.. (2022). Smart Cart Powered by Artificial Intelligence. 1–6. 2 indexed citations
7.
Surendiran, J., et al.. (2022). Prediction of Lung Cancer at Early Stage Using Correlation Analysis and Regression Modelling. 1–6. 13 indexed citations
9.
Surendiran, J., et al.. (2022). Diagnosis of Diabetes using Reverting Algorithm. 1–6. 1 indexed citations
10.
Surendiran, J., et al.. (2022). Classification of Diabetes using Multilayer Perceptron. 1–5. 36 indexed citations
11.
Surendiran, J., et al.. (2022). IoT Based Biometric Supported Vehicle User Identification System. 1–6. 3 indexed citations
12.
Surendiran, J., et al.. (2022). Teleconsultation and Human Parameter Monitoring system using Arduino UNO and NODE MCU. 1–6. 2 indexed citations
13.
Vidhya, R.G., et al.. (2022). Machine Learning Based Approach to Predict the Position of Robot and its Application. 506–511. 10 indexed citations
15.
Surendiran, J., et al.. (2020). An Efficient Bifurcating Brokers Service Scheme for Protecting Investor Secrecy in e-Trading. 7(11). 2343–2353. 1 indexed citations
16.
Surendiran, J., et al.. (2019). X-RAY CT Reconstruction by using Spatially Non-Homogeneous ICD Optimization. International Journal of Engineering and Advanced Technology. 8(6s3). 2043–2046. 9 indexed citations
17.
Surendiran, J., et al.. (2019). Design and Implementation of Kogge Stone adder using CMOS and GDI Design: VLSI Based. International Journal of Engineering and Advanced Technology. 8(6s3). 2181–2182. 17 indexed citations
18.
Surendiran, J., et al.. (2019). Efficient Way to Detect Bone Cancer using Image Segmentation. International Journal of Engineering and Advanced Technology. 8(6s3). 1850–1854. 12 indexed citations
19.
Saravanan, D., et al.. (2019). Video Data Retrieval using Image Color Histogram Technique. International Journal of Engineering and Advanced Technology. 8(6s3). 2056–2060. 16 indexed citations
20.
Saravanan, D., et al.. (2019). A new framework for video data retrieval using hierarchical clustering technique. International Journal of Engineering and Advanced Technology. 8(6s3). 2052–2055. 9 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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