G. Saravanan

652 total citations · 1 hit paper
35 papers, 337 citations indexed

About

G. Saravanan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, G. Saravanan has authored 35 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 8 papers in Computer Networks and Communications and 8 papers in Control and Systems Engineering. Recurrent topics in G. Saravanan's work include IoT-based Smart Home Systems (5 papers), Advanced Control Systems Design (3 papers) and IoT and Edge/Fog Computing (3 papers). G. Saravanan is often cited by papers focused on IoT-based Smart Home Systems (5 papers), Advanced Control Systems Design (3 papers) and IoT and Edge/Fog Computing (3 papers). G. Saravanan collaborates with scholars based in India, Australia and United States. G. Saravanan's co-authors include Kamal Gulati, Dhiraj Kapila, Raja Sarath Kumar Boddu, Neeraj Chandnani, Sunil L. Bangare, R. Senthil Kumar, Chetan M. Thakar, Hari Govind Mishra, G. Gulothungan and C. Karthikeyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Materials Today Proceedings.

In The Last Decade

G. Saravanan

25 papers receiving 321 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review paper on wireless sensor network techniques in Internet of Things (IoT)

2021 235 citations G. Saravanan et al. profile →

Peers

G. Saravanan

CNC

EEE

CSE

IS

AI

Wajeb Gharibi Saudi Arabia

Neeraj Chandnani India

Boon-Yaik Ooi Malaysia

Mohd Adib Sarijari Malaysia

Colin Keng-Yan Tan Singapore

Biswajeeban Mishra Hungary

Bechir Alaya Saudi Arabia

Kiran Jot Singh India

Saima Zafar Pakistan

Jan Nikodem Poland

Wajeb Gharibi Saudi Arabia

G. Saravanan

186 ×1.2

CNC

155 ×1.2

EEE

63 ×1.3

CSE

34 ×0.9

IS

62 ×1.7

AI

Citations per year, relative to G. Saravanan G. Saravanan (= 1×) peers Wajeb Gharibi

Countries citing papers authored by G. Saravanan

Since Specialization

Citations

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

Fields of papers citing papers by G. Saravanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Saravanan

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

1.

Saravanan, G., et al.. (2025). Performance improvement of DC motor control system using PID controller with Kookaburra and Red Panda optimization algorithm. Scientific Reports. 15(1). 20021–20021. 1 indexed citations

2.

Saravanan, G., et al.. (2024). Voice Recognition based Energy Efficient Control and Monitoring of Home Appliances through Android Mobile App using IoT. 1–8.

3.

Prasanna, R., et al.. (2024). SMART DRIVING LICENSING SYSTEM AND AUTHORIZATION OF AUTONOMOUS VEHICLE INTEGRATING WIRELESS SENSOR NETWORKS AND IoT. Telecommunications and Radio Engineering. 83(9). 69–85. 1 indexed citations

4.

Saravanan, G., et al.. (2024). Energy Consumption Prediction for Home Appliances with Recurrent Neural Networks. 600–606.

5.

Saravanan, G., et al.. (2024). Survey on Remote Patient Monitoring System. 1696–1701.

6.

Prasanna, R., et al.. (2024). IoT Based Soil Moisture Monitoring and Nutrients Suggestion Based on the Soil PH Value. 1–6. 1 indexed citations

7.

Saravanan, G., et al.. (2024). Red Panda Optimization Algorithm-Based PID Controller Design for Automobile Cruise Control System. 33–37.

8.

Saravanan, G., et al.. (2024). Investigation of mechanical properties and thermal properties on sugarcane fiber composite material reinforced with polyethylene terephthalate matrix material for sustainable applications. SHILAP Revista de lepidopterología. 552. 1004–1004.

9.

Venkateswaran, Sriram, et al.. (2023). Precise Prediction of Cardiovascular Diseases Using Machine Learning. 7. 1–3.

10.

Subbiah, Ram, et al.. (2023). Dry sliding wear Behaviour analysis on treatedAISI 431 stainless steel material by annealing and tempering process. Advances in Materials and Processing Technologies. 10(4). 2732–2740. 1 indexed citations

11.

Saravanan, G., et al.. (2023). Advancements in Sustainable Charging Infrastructure: Integrating Solar Energy and IoT for Smart E-Vehicle Charging Stations. 311–315. 2 indexed citations

12.

Patnaik, Rajesh Kumar, et al.. (2022). The Potential Role of PV Solar Power System to Improve the Integration of Electric Energy Storage System. International Journal of Photoenergy. 2022. 1–11. 2 indexed citations

13.

Saravanan, G., et al.. (2020). Ultrasonic Sensor Based Haptic Feedback Navigational System for Deaf - Blind People. International Journal of Recent Technology and Engineering (IJRTE). 8(5). 3099–3103. 1 indexed citations

14.

Saravanan, G. & N. Yuvaraj. (2020). Cloud resource optimization based on poisson linear deep gradient learning for mobile cloud computing. Journal of Intelligent & Fuzzy Systems. 40(1). 787–797. 1 indexed citations

15.

Saravanan, G., et al.. (2019). IoT, an Emerging Technology for Next Generation Medical Devices in Support of Cardiac Health Care – A Comprehensive Review. International Research Journal of Multidisciplinary Technovation. 35–40. 2 indexed citations

16.

Saravanan, G., et al.. (2016). Numerical Analysis of Subsonic Coaxial Jet on Effect of Potential Core Length. 2(1). 26–32. 1 indexed citations

17.

Saravanan, G., et al.. (2016). Mobile Sink Data Gathering Technique for Wireless Sensor Networks using PSO. International journal of intelligent engineering and systems. 9(3). 101–109. 2 indexed citations

18.

Saravanan, G., et al.. (2014). Survey on Intrusion Detection System in Heterogeneous WSN Using Multipath Routing. IOSR Journal of Computer Engineering. 16(2). 26–31. 3 indexed citations

19.

Saravanan, G., C. Antony Jeyasehar, & S. Kandasamy. (2013). Flyash Based Geopolymer Concrete – A State of the Art Review. SHILAP Revista de lepidopterología. 3 indexed citations

20.

Saravanan, G., et al.. (2013). A Study on the New Product Introduction Process and Competitive Benchmarking with Special reference to Caterpillar 40/50T Off-Highway Trucks manufactured in India. Asian Journal of Research in Business Economics and Management. 3(11). 173–185. 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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