Subramaniam Ganesan

1.7k total citations
108 papers, 1.1k citations indexed

About

Subramaniam Ganesan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Subramaniam Ganesan has authored 108 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 25 papers in Computer Networks and Communications and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Subramaniam Ganesan's work include Electronic Packaging and Soldering Technologies (9 papers), Embedded Systems Design Techniques (8 papers) and Autonomous Vehicle Technology and Safety (6 papers). Subramaniam Ganesan is often cited by papers focused on Electronic Packaging and Soldering Technologies (9 papers), Embedded Systems Design Techniques (8 papers) and Autonomous Vehicle Technology and Safety (6 papers). Subramaniam Ganesan collaborates with scholars based in United States, India and Saudi Arabia. Subramaniam Ganesan's co-authors include Vishnu Kamat, Majed Aborokbah, Saad Almutairi, S. Manimurugan, Naveen Chilamkurti, Rizwan Patan, Michael Pecht, Michael Osterman, C. Narmatha and Fayadh Alenezi and has published in prestigious journals such as Nature, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Subramaniam Ganesan

89 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subramaniam Ganesan United States 16 262 246 234 209 159 108 1.1k
S. Sachin Kumar India 17 155 0.6× 297 1.2× 175 0.7× 219 1.0× 195 1.2× 96 1.1k
Kin‐Choong Yow Canada 26 261 1.0× 316 1.3× 757 3.2× 529 2.5× 100 0.6× 88 1.7k
P. Nagaraj India 23 213 0.8× 156 0.6× 227 1.0× 363 1.7× 65 0.4× 135 1.4k
Yongjin Kwon South Korea 18 142 0.5× 165 0.7× 315 1.3× 164 0.8× 103 0.6× 121 1.2k
Ayşegül Uçar Türkiye 17 156 0.6× 210 0.9× 432 1.8× 278 1.3× 226 1.4× 55 1.3k
Oğuz Bayat Türkiye 16 211 0.8× 358 1.5× 161 0.7× 206 1.0× 149 0.9× 117 944
Shabana Urooj India 24 282 1.1× 621 2.5× 319 1.4× 289 1.4× 122 0.8× 155 1.7k
Shunkun Yang China 23 337 1.3× 205 0.8× 113 0.5× 266 1.3× 282 1.8× 91 1.3k
Yingjie Xia China 22 312 1.2× 211 0.9× 703 3.0× 487 2.3× 91 0.6× 117 1.7k

Countries citing papers authored by Subramaniam Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by Subramaniam Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subramaniam Ganesan

This figure shows the co-authorship network connecting the top 25 collaborators of Subramaniam Ganesan. A scholar is included among the top collaborators of Subramaniam Ganesan 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 Subramaniam Ganesan. Subramaniam Ganesan 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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Manimurugan, S., P. Karthikeyan, Majed Aborokbah, C. Narmatha, & Subramaniam Ganesan. (2024). Breast cancer diagnosis model using stacked autoencoder with particle swarm optimization. Ain Shams Engineering Journal. 15(6). 102734–102734. 5 indexed citations
4.
Almutairi, Saad, S. Manimurugan, Majed Aborokbah, et al.. (2023). An Efficient USE‐Net Deep Learning Model for Cancer Detection. International Journal of Intelligent Systems. 2023(1). 9 indexed citations
5.
Alqahtani, Saeed, Ali Alqahtani, Mohamed Zohdy, Abdulaziz A. Alsulami, & Subramaniam Ganesan. (2023). Severity Grading and Early Detection of Alzheimer’s Disease through Transfer Learning. Information. 14(12). 646–646. 3 indexed citations
6.
Manimurugan, S., Saad Almutairi, Majed Aborokbah, et al.. (2022). Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence. Sensors. 22(2). 476–476. 55 indexed citations
7.
Alenezi, Fayadh & Subramaniam Ganesan. (2021). Geometric-Pixel Guided Single-Pass Convolution Neural Network With Graph Cut for Image Dehazing. IEEE Access. 9. 29380–29391. 21 indexed citations
8.
Ganesan, Subramaniam, et al.. (2020). Optimal Asynchrophasor In PMU Using Second Order Kalman Filter. 635–637. 2 indexed citations
9.
Khanduja, Dinesh, et al.. (2019). Fuzzy methodology application for risk analysis of mechanical system in process industry. International Journal of Systems Assurance Engineering and Management. 11(2). 297–312. 10 indexed citations
10.
Vaidehi, V., et al.. (2019). A Deep Neural Network Framework for Road Side Analysis and Lane Detection. Procedia Computer Science. 165. 252–258. 5 indexed citations
11.
Sankaranarayanan, Suresh & Subramaniam Ganesan. (2016). Applications of Intelligent Agents in Health Sector-A Review. International Journal of E-Health and Medical Communications. 7(1). 1–30. 2 indexed citations
12.
Ganesan, Subramaniam, et al.. (2014). Automated algorithm for retinal image exudates and drusens detection, segmentation, and measurement. 206–215. 7 indexed citations
13.
Ganesan, Subramaniam, et al.. (2012). Condition based maintenance: a survey. Journal of Quality in Maintenance Engineering. 18(4). 384–400. 159 indexed citations
14.
Ganesan, Subramaniam, et al.. (2010). S-CAS: Smart channel assignment scheme for wireless sensor networks. 5682. 1–6. 6 indexed citations
15.
Ganesan, Subramaniam, et al.. (2006). Chip-on-Board (CoB) technology for low temperature environments. Part I: Wire profile modeling in unencapsulated chips. Microelectronics Reliability. 47(8). 1246–1250. 5 indexed citations
16.
Eveloy, Valérie, et al.. (2006). WEEE, RoHS, and what you must do to get ready for lead-free electronics. 27–44. 13 indexed citations
17.
Ganesan, Subramaniam, et al.. (2005). Life consumption monitoring for electronics prognostics. 3455–3467. 26 indexed citations
18.
Ganesan, Subramaniam, et al.. (2002). An Idle Speed Controller using Analytically Developed Fuzzy Logic Control Law. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
19.
Ganesan, Subramaniam, et al.. (2002). VLSI synthesis of a programmable DWT chip for the optimal choice of a prototype wavelet. 127–131. 1 indexed citations
20.
Ganesan, Subramaniam, et al.. (1995). An intelligent order entry system for portable industrial air compressors in a manufacturing environment. Expert Systems with Applications. 9(2). 223–236. 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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