S. Baskar

3.0k total citations
72 papers, 1.6k citations indexed

About

S. Baskar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, S. Baskar has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 21 papers in Electrical and Electronic Engineering and 19 papers in Biomedical Engineering. Recurrent topics in S. Baskar's work include IoT and Edge/Fog Computing (16 papers), Vehicular Ad Hoc Networks (VANETs) (7 papers) and Non-Invasive Vital Sign Monitoring (7 papers). S. Baskar is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), Vehicular Ad Hoc Networks (VANETs) (7 papers) and Non-Invasive Vital Sign Monitoring (7 papers). S. Baskar collaborates with scholars based in India, Malaysia and United States. S. Baskar's co-authors include P. Mohamed Shakeel, V. R. Sarma Dhulipala, Gunasekaran Manogaran, Venu Madhav Kuthadi, Rajalakshmi Selvaraj, Mustafa Musa Jaber, Hassan Fouad, Kandi Sridhar, Revathi Sundarasekar and Haytham Al-Feel and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

S. Baskar

66 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Baskar India 22 440 384 320 316 287 72 1.6k
G. Ramkumar India 29 409 0.9× 407 1.1× 343 1.1× 267 0.8× 535 1.9× 200 2.4k
Fahd N. Al‐Wesabi Saudi Arabia 20 426 1.0× 537 1.4× 392 1.2× 239 0.8× 251 0.9× 167 1.7k
Kwok Tai Chui Hong Kong 22 374 0.8× 488 1.3× 295 0.9× 215 0.7× 306 1.1× 170 1.9k
Muhammad Rizwan Pakistan 24 696 1.6× 620 1.6× 217 0.7× 407 1.3× 320 1.1× 75 1.9k
Vinu Sundararaj India 10 554 1.3× 316 0.8× 340 1.1× 373 1.2× 324 1.1× 11 1.6k
Vicente García‐Díaz Spain 24 398 0.9× 580 1.5× 257 0.8× 488 1.5× 218 0.8× 120 2.0k
Muhammad Shoaib Pakistan 23 554 1.3× 377 1.0× 347 1.1× 259 0.8× 461 1.6× 102 1.9k
Sultan S. Alshamrani Saudi Arabia 22 344 0.8× 458 1.2× 353 1.1× 267 0.8× 294 1.0× 113 1.7k
K. Venkatachalam Czechia 23 304 0.7× 713 1.9× 343 1.1× 254 0.8× 278 1.0× 93 1.8k
Irina V. Pustokhina Russia 19 330 0.8× 367 1.0× 287 0.9× 227 0.7× 172 0.6× 63 1.3k

Countries citing papers authored by S. Baskar

Since Specialization
Citations

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

Fields of papers citing papers by S. Baskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Baskar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Baskar. A scholar is included among the top collaborators of S. Baskar 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 S. Baskar. S. Baskar 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.
Dinesh, Anant, et al.. (2025). Cervical Cancer Diagnosis using Convolutional Neural Networks. International Journal of Advanced Multidisciplinary Research and Studies. 5(2). 71–75.
2.
Baskar, S., Michaelraj Kingston Roberts, & Kandi Sridhar. (2024). Long-Distance Secure Communication Based on Quantum Repeater Deployment with Quantum-Key Distribution. 1–6. 2 indexed citations
3.
Baskar, S., et al.. (2024). A transformer based real-time photo captioning framework for visually impaired people with visual attention. Multimedia Tools and Applications. 83(41). 88859–88878. 5 indexed citations
4.
Youssef, Ahmed E., et al.. (2024). Alzheimer’s disease prognosis using neuro-gen evo-synthesis framework for elderly populations. Biomedical Signal Processing and Control. 102. 107349–107349.
5.
Shakeel, P. Mohamed, et al.. (2024). Tunable Error Reduction Scheme in Proximity Sensor Function Applied to Unmanned Vehicular Networks. IEEE Sensors Journal. 24(10). 17045–17053.
6.
7.
Selvaraj, Rajalakshmi, Venu Madhav Kuthadi, & S. Baskar. (2023). Smart building energy management and monitoring system based on artificial intelligence in smart city. Sustainable Energy Technologies and Assessments. 56. 103090–103090. 74 indexed citations
8.
Baskar, S., et al.. (2023). B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images. Machine Learning Science and Technology. 4(1). 15036–15036. 21 indexed citations
9.
Baskar, S., et al.. (2023). An Accurate Prediction and Diagnosis of Alzheimer’s Disease using Deep Learning. 1–7. 22 indexed citations
10.
Sridhar, Kandi, et al.. (2023). Noise Removal-based Thresholding framework for Arrhythmia classification. Journal of Intelligent & Fuzzy Systems. 45(2). 2657–2668.
11.
Baskar, S., et al.. (2023). Extreme learning machine algorithm‐based model for lung cancer classification from histopathological real‐time images. Computational Intelligence. 39(6). 974–1003. 2 indexed citations
12.
Baskar, S., et al.. (2023). LoRaWAN-Based Artificial Intelligence Intensive Care Unit Framework for Tracking Patients With Severe Pneumonia. IEEE Sensors Letters. 7(12). 1–4. 6 indexed citations
13.
Baskar, S., et al.. (2022). A Machine Learning Strategy for Internet-of-Things-Enabled Diabetic Prediction to Mitigate Pneumonia Risk. 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). 1–6. 4 indexed citations
14.
Kuthadi, Venu Madhav, Rajalakshmi Selvaraj, S. Baskar, P. Mohamed Shakeel, & Abhishek Ranjan. (2021). Optimized Energy Management Model on Data Distributing Framework of Wireless Sensor Network in IoT System. Wireless Personal Communications. 127(2). 1377–1403. 36 indexed citations
15.
Selvaraj, Rajalakshmi, Venu Madhav Kuthadi, & S. Baskar. (2021). Human muscle rigidity identification by human‐robot approximation characteristics framework on internet of things platform. Expert Systems. 39(6). 1 indexed citations
16.
Sridhar, Kandi, et al.. (2019). A decentralized scalable security framework for end‐to‐end authentication of future IoT communication. Transactions on Emerging Telecommunications Technologies. 31(12). 66 indexed citations
17.
Manogaran, Gunasekaran, P. Mohamed Shakeel, Hassan Fouad, et al.. (2019). Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System. Sensors. 19(13). 3030–3030. 134 indexed citations
18.
Baskar, S. & V. R. Sarma Dhulipala. (2018). Collaboration of Trusted Node and QoS Based Energy Multi Path Routing Protocol for Vehicular Ad Hoc Networks. Wireless Personal Communications. 103(4). 2833–2842. 15 indexed citations
19.
Shakeel, P. Mohamed, S. Baskar, V. R. Sarma Dhulipala, & Mustafa Musa Jaber. (2018). Cloud based framework for diagnosis of diabetes mellitus using K-means clustering. Health Information Science and Systems. 6(1). 16–16. 87 indexed citations
20.
Baskar, S. & V. R. Sarma Dhulipala. (2016). Comparative Analysis on Fault Tolerant Techniques for Memory Cells in Wireless Sensor Devices. Asian Journal of Research in Social Sciences and Humanities. 6(cs1). 519–519. 8 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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