M. Suganthi

450 total citations
48 papers, 324 citations indexed

About

M. Suganthi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Suganthi has authored 48 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Suganthi's work include Wireless Communication Networks Research (9 papers), Brain Tumor Detection and Classification (8 papers) and Advanced MIMO Systems Optimization (8 papers). M. Suganthi is often cited by papers focused on Wireless Communication Networks Research (9 papers), Brain Tumor Detection and Classification (8 papers) and Advanced MIMO Systems Optimization (8 papers). M. Suganthi collaborates with scholars based in India, Nepal and United States. M. Suganthi's co-authors include M. Madheswaran, S. Kumarganesh, C. Karthikeyan, Shitharth Selvarajan, S. Raghavan, R. Sunder, R. Sumathi, S. S. Karthikeyan, S. Umamaheswari and N. Santhiyakumari and has published in prestigious journals such as Signal Processing, Journal of Medical Systems and Wireless Personal Communications.

In The Last Decade

M. Suganthi

42 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Suganthi India 10 133 113 95 71 60 48 324
Eid Rehman Pakistan 6 106 0.8× 131 1.2× 116 1.2× 36 0.5× 48 0.8× 17 386
C. Balasubramanian India 10 69 0.5× 91 0.8× 92 1.0× 45 0.6× 45 0.8× 36 296
Annapurna Singh India 14 277 2.1× 402 3.6× 57 0.6× 26 0.4× 54 0.9× 32 587
Amir Hanif Dar Pakistan 9 146 1.1× 130 1.2× 38 0.4× 28 0.4× 41 0.7× 14 338
Ramdas Vankdothu India 9 176 1.3× 213 1.9× 72 0.8× 17 0.2× 248 4.1× 17 446
Shailendra Tiwari India 11 131 1.0× 150 1.3× 26 0.3× 19 0.3× 21 0.3× 37 387
Muhammad Shahbaz Khan United Kingdom 8 90 0.7× 92 0.8× 25 0.3× 48 0.7× 10 0.2× 40 300
Ashutosh Aggarwal India 11 153 1.2× 267 2.4× 30 0.3× 28 0.4× 28 0.5× 35 469
Kwabena Adu Ghana 9 110 0.8× 77 0.7× 32 0.3× 26 0.4× 39 0.7× 24 287
Dimitris Theodoropoulos Greece 9 37 0.3× 60 0.5× 160 1.7× 77 1.1× 23 0.4× 35 426

Countries citing papers authored by M. Suganthi

Since Specialization
Citations

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

Fields of papers citing papers by M. Suganthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Suganthi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Suganthi. A scholar is included among the top collaborators of M. Suganthi 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 M. Suganthi. M. Suganthi 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.
Suganthi, M., et al.. (2023). Enhancing the Quality of Service by GBSO Splay Tree Routing Framework in Wireless Sensor Network. KSII Transactions on Internet and Information Systems. 17(8). 1 indexed citations
2.
Suganthi, M., et al.. (2023). Convolution Neural Network Approach for Satellite Object Detection and Recognition. 2. 1–6. 1 indexed citations
3.
Suganthi, M., et al.. (2020). An Exploratory of Hybrid Techniques on Deep Learning for Image Classification. 1–4. 12 indexed citations
4.
Suganthi, M., et al.. (2019). A Clinical Support System for Brain Tumor Classification Using Soft Computing Techniques. Journal of Medical Systems. 43(5). 144–144. 34 indexed citations
5.
Suganthi, M., et al.. (2019). Segmentation and Boundary Detection of Fetal Kidney Images in Second and Third Trimesters Using Kernel-Based Fuzzy Clustering. Journal of Medical Systems. 43(7). 203–203. 11 indexed citations
6.
Suganthi, M., et al.. (2019). A Study of Image Compression and SHA 256 Encryption Algorithms for Secure Transmission. International Journal of Computer Applications. 181(37). 9–12. 2 indexed citations
7.
Suganthi, M., et al.. (2018). Automatic Approach for Cervical Cancer Detection and Segmentation Using Neural Network Classifier. Asian Pacific Journal of Cancer Prevention. 19(12). 3571–3580. 32 indexed citations
8.
Suganthi, M., et al.. (2018). A novel approach of user existence awareness using adaptive spectrum sensing controllers in emergency‐based cognitive radio adhoc networks. International Journal of Communication Systems. 31(11). 4 indexed citations
9.
Suganthi, M., et al.. (2018). A Novel Enhanced Gray Scale Adaptive Method for Prediction of Breast Cancer. Journal of Medical Systems. 42(11). 221–221. 4 indexed citations
10.
Suganthi, M., et al.. (2018). Instance selection and feature extraction using cuttlefish optimization algorithm and principal component analysis using decision tree. Cluster Computing. 22(S1). 89–101. 20 indexed citations
11.
Kumarganesh, S. & M. Suganthi. (2016). An efficient approach for brain image (tissue) compression based on the position of the brain tumor. International Journal of Imaging Systems and Technology. 26(4). 237–242. 22 indexed citations
12.
Kumarganesh, S. & M. Suganthi. (2015). Efficient Medical Data and Medical Video Compression Using HEVC Standard. International Journal of Advanced Science and Engineering. 1(3). 11761–11766. 1 indexed citations
13.
Suganthi, M., et al.. (2014). A Hybrid of Bacterial Foraging and Modified Cuckoo Search Optimization for Pilot Symbol Design in MIMO-OFDM Systems. Research Journal of Applied Sciences Engineering and Technology. 8(6). 726–735. 2 indexed citations
14.
Suganthi, M., et al.. (2014). Peak to Average Power Ratio Reduction using a Hybrid of Bacterial Foraging and Modified Cuckoo Search Algorithm in MIMO-OFDM System. Research Journal of Applied Sciences Engineering and Technology. 7(21). 4423–4433. 1 indexed citations
15.
Suganthi, M., et al.. (2014). An Efficient Pose & Illumination Normalization Preprocessing Technique for Face Recognition. 6(6). 254–260. 1 indexed citations
16.
Umamaheswari, S., et al.. (2012). Growing Trend of Process off Gas and Waste Heat Recovery in Captive Power Generation. International Journal of Scientific Research. 2(11). 175–181.
17.
Raghavan, S., et al.. (2011). Neural network based Scheduling Algorithm for WiMAX with improved QoS constraints. 1076–1081. 6 indexed citations
18.
Suganthi, M. & M. Madheswaran. (2010). An Improved Medical Decision Support System to Identify the Breast Cancer Using Mammogram. Journal of Medical Systems. 36(1). 79–91. 42 indexed citations
19.
Suganthi, M. & M. Madheswaran. (2009). Mammogram tumor classification using multimodal features and Genetic Algorithm. 1–6. 6 indexed citations
20.
Suganthi, M., et al.. (2008). Hardware Implementation of an Efficient Internet Protocol Routing Filter Design. International Journal of Computers and Applications. 30(2). 124–128. 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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