S. Ramesh

658 total citations
55 papers, 361 citations indexed

About

S. Ramesh is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, S. Ramesh has authored 55 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 17 papers in Computer Networks and Communications and 13 papers in Artificial Intelligence. Recurrent topics in S. Ramesh's work include IoT and Edge/Fog Computing (7 papers), Smart Agriculture and AI (5 papers) and Internet of Things and AI (5 papers). S. Ramesh is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Smart Agriculture and AI (5 papers) and Internet of Things and AI (5 papers). S. Ramesh collaborates with scholars based in India, China and Belarus. S. Ramesh's co-authors include S. Gomathi, T. Manikandan, N. Manikandan, Fadi Al‐Turjman, R. Manikandan, Suriya Murugan, Bhaskar Pant, G Anitha, R. Rajalakshmi and Satyajeet Sahoo and has published in prestigious journals such as Neural Computing and Applications, Heliyon and Multimedia Tools and Applications.

In The Last Decade

S. Ramesh

44 papers receiving 284 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. Ramesh India 11 86 79 77 70 48 55 361
J. Chinna Babu India 10 63 0.7× 57 0.7× 50 0.6× 61 0.9× 33 0.7× 33 295
S. Jayachitra India 5 69 0.8× 72 0.9× 80 1.0× 114 1.6× 42 0.9× 22 325
Arfan Ali Nagra Pakistan 11 131 1.5× 80 1.0× 36 0.5× 31 0.4× 45 0.9× 17 300
Zhenyu Yan Hong Kong 11 141 1.6× 114 1.4× 66 0.9× 74 1.1× 18 0.4× 41 363
Nidhi Sindhwani India 11 57 0.7× 51 0.6× 61 0.8× 62 0.9× 11 0.2× 39 262
Anuradha Thakare India 9 100 1.2× 70 0.9× 25 0.3× 33 0.5× 35 0.7× 56 296
R. Manjula Devi India 12 157 1.8× 72 0.9× 37 0.5× 45 0.6× 22 0.5× 41 390
Neeraj Mohan India 10 59 0.7× 113 1.4× 66 0.9× 34 0.5× 10 0.2× 30 348
Shailendra Aswale India 11 136 1.6× 53 0.7× 56 0.7× 119 1.7× 9 0.2× 44 390
T. Manikandan India 8 75 0.9× 59 0.7× 61 0.8× 69 1.0× 14 0.3× 47 265

Countries citing papers authored by S. Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by S. Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ramesh. A scholar is included among the top collaborators of S. Ramesh 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. Ramesh. S. Ramesh 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
3.
Reddy, D. R. & S. Ramesh. (2024). Identification of the pest detection using random forest algorithm and support vector machine with improved accuracy. AIP conference proceedings. 3193. 20185–20185. 1 indexed citations
4.
Garg, Shruti, et al.. (2024). Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures. Multimedia Tools and Applications. 84(8). 4139–4161. 10 indexed citations
5.
8.
Ramesh, S., et al.. (2023). Integration of IoT and edge cloud computing for smart microgrid energy management in VANET using machine learning. Computers & Electrical Engineering. 110. 108905–108905. 17 indexed citations
9.
Ramesh, S., et al.. (2023). Vehicular network energy storage system with renewable analysis using deep learning architectures. Computers & Electrical Engineering. 110. 108801–108801. 2 indexed citations
10.
13.
Ramesh, S., et al.. (2022). Intelligent video surveillance using enhanced deep belief based multilayered convolution neural network classification techniques. The Photogrammetric Record. 37(180). 490–502. 6 indexed citations
14.
Ramesh, S. & Pitchiah Sivaperumal. (2022). Melanin pigments from sediment-associated Nocardiopsis sp. marine actinobacterium and antibacterial potential. Journal of Advanced Pharmaceutical Technology amp Research. 13(Suppl 1). S88–S92. 5 indexed citations
15.
Ramesh, S., et al.. (2021). Cardiac disease diagnosis using feature extraction and machine learning based classification with Internet of Things(IoT). Concurrency and Computation Practice and Experience. 34(4). 8 indexed citations
16.
Ramesh, S., et al.. (2021). Transfer learning based recurrent neural network algorithm for linguistic analysis. Concurrency and Computation Practice and Experience. 34(5). 13 indexed citations
17.
Ramesh, S., et al.. (2021). Automatic speech emotion detection using hybrid of gray wolf optimizer and naïve Bayes. International Journal of Speech Technology. 26(3). 571–578. 19 indexed citations
18.
Ramesh, S., et al.. (2016). FPGA implemented testbed in 8-by-8 and 2-by-2 OFDM–MIMO channel estimation and design of baseband transceiver. SpringerPlus. 5(1). 393–393. 8 indexed citations
19.
20.
Al-Mousawi, M, et al.. (2001). Renal transplantation in patients with abnormal lower urinary tract. Transplantation Proceedings. 33(5). 2676–2677. 5 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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