P. Ganeshkumar

1.6k total citations
80 papers, 1.1k citations indexed

About

P. Ganeshkumar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, P. Ganeshkumar has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 25 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in P. Ganeshkumar's work include Security in Wireless Sensor Networks (14 papers), Mobile Ad Hoc Networks (12 papers) and Energy Efficient Wireless Sensor Networks (10 papers). P. Ganeshkumar is often cited by papers focused on Security in Wireless Sensor Networks (14 papers), Mobile Ad Hoc Networks (12 papers) and Energy Efficient Wireless Sensor Networks (10 papers). P. Ganeshkumar collaborates with scholars based in India, Saudi Arabia and South Korea. P. Ganeshkumar's co-authors include D. Devaraj, G. Lavanya, Varghese Paul, T. Aruldoss Albert Victoire, M. Sakthivel, S. Sudhagar, K. P. Vijayakumar, K. Kumaresan, Karthikeyan Ramasamy and K. Suganya Devi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

P. Ganeshkumar

77 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Ganeshkumar India 19 355 273 223 155 152 80 1.1k
Shabana Habib Saudi Arabia 17 183 0.5× 288 1.1× 287 1.3× 184 1.2× 110 0.7× 53 873
Ezz El‐Din Hemdan Egypt 22 184 0.5× 282 1.0× 222 1.0× 85 0.5× 236 1.6× 70 1.2k
B. Santhi India 15 296 0.8× 188 0.7× 152 0.7× 238 1.5× 56 0.4× 70 877
B. R. Rajakumar India 10 212 0.6× 316 1.2× 191 0.9× 171 1.1× 88 0.6× 13 876
A. Prasanth India 15 370 1.0× 209 0.8× 122 0.5× 206 1.3× 107 0.7× 36 840
Md. Manowarul Islam Bangladesh 17 286 0.8× 538 2.0× 164 0.7× 78 0.5× 92 0.6× 63 1.1k
Sandeep Kautish India 21 236 0.7× 304 1.1× 163 0.7× 96 0.6× 161 1.1× 64 906
Ahmad Ali AlZubi Saudi Arabia 18 374 1.1× 214 0.8× 158 0.7× 186 1.2× 250 1.6× 91 1.1k
Jiong Yu China 19 326 0.9× 367 1.3× 267 1.2× 188 1.2× 242 1.6× 112 1.1k

Countries citing papers authored by P. Ganeshkumar

Since Specialization
Citations

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

Fields of papers citing papers by P. Ganeshkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Ganeshkumar

This figure shows the co-authorship network connecting the top 25 collaborators of P. Ganeshkumar. A scholar is included among the top collaborators of P. Ganeshkumar 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 P. Ganeshkumar. P. Ganeshkumar 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.
Ganeshkumar, P., et al.. (2025). Kidney image segmentation from CT for disease diagnosis based on deep extreme cut and NASNet-Bi-LSTM model using generative AI for improved resolution. Applied Soft Computing. 183. 113641–113641. 1 indexed citations
2.
Ganeshkumar, P., et al.. (2024). A novel attention-based cross-modal transfer learning framework for predicting cardiovascular disease. Computers in Biology and Medicine. 170. 107977–107977. 25 indexed citations
3.
4.
Ganeshkumar, P., et al.. (2023). A context-sensitive multi-tier deep learning framework for multimodal sentiment analysis. Multimedia Tools and Applications. 83(18). 54249–54278. 16 indexed citations
5.
Ganeshkumar, P., et al.. (2023). Handling Big Microarray Data: A Novel Approach to Design Accurate Fuzzy-Based Medical Expert System. IEEE Access. 11. 35182–35196. 2 indexed citations
6.
Ganeshkumar, P., et al.. (2019). Annotation and Retrieval of Retinal Images using Support Vector Machine with Active Learning. 1–6. 2 indexed citations
7.
Sudhagar, S., M. Sakthivel, & P. Ganeshkumar. (2019). Monitoring of friction stir welding based on vision system coupled with Machine learning algorithm. Measurement. 144. 135–143. 65 indexed citations
8.
Lavanya, G., et al.. (2019). An automated low cost IoT based Fertilizer Intimation System for smart agriculture. Sustainable Computing Informatics and Systems. 28. 100300–100300. 127 indexed citations
9.
Raja, R. & P. Ganeshkumar. (2018). QoSTRP: A Trusted Clustering Based Routing Protocol for Mobile Ad-Hoc Networks. Programming and Computer Software. 44(6). 407–416. 8 indexed citations
10.
Ganeshkumar, P., et al.. (2018). Designing a Novel Framework for Evaluation of Trust in Mobile Ad-Hoc Networks. Journal of Computational and Theoretical Nanoscience. 15(1). 338–344. 2 indexed citations
11.
Kang, Beom Sik, et al.. (2017). Binding Direction-Based Two-Dimensional Flattened Contact Area Computing Algorithm for Protein–Protein Interactions. Molecules. 22(10). 1722–1722. 1 indexed citations
12.
Ganeshkumar, P., et al.. (2015). An Efficient Framework for Large Scale Multimedia Content Distribution in P2P Network: I2NC. The Scientific World JOURNAL. 2015(1). 303505–303505. 5 indexed citations
13.
Ganeshkumar, P., et al.. (2015). Emergency Situation Prediction Mechanism: A Novel Approach for Intelligent Transportation System Using Vehicular Ad Hoc Networks. The Scientific World JOURNAL. 2015(1). 218379–218379. 5 indexed citations
14.
Ganeshkumar, P., et al.. (2014). Hybrid Ant Bee Algorithm for Fuzzy Expert System Based Sample Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(2). 347–360. 32 indexed citations
15.
Gopalakrishnan, S. & P. Ganeshkumar. (2014). N-CRYPT: A HIGHLY SECURED DATA TRANSMISSION FOR WIRELESS SENSOR NETWORK. 2 indexed citations
16.
Ganeshkumar, P., et al.. (2013). Effective ANT based Routing Algorithm for Data Replication in MANETs. ICTACT Journal on Communication Technology. 4(4). 854–858. 2 indexed citations
17.
Ganeshkumar, P., et al.. (2013). S-SPRAY ROUTING PROTOCOL FOR INTERMITTENTLY CONNECTED MOBILE NETWORKS. ICTACT Journal on Communication Technology. 4(3). 761–765. 3 indexed citations
18.
Ganeshkumar, P., et al.. (2012). A collection of open research problems in rate based transport protocols for multihop ad hoc wireless network. IEEE-International Conference On Advances In Engineering, Science And Management. 309–314. 4 indexed citations
19.
Ganeshkumar, P., et al.. (2012). Analytical techniques to characterize and optimize the performance of sensor network systems. 1–5. 1 indexed citations
20.
Ganeshkumar, P. & D. Devaraj. (2007). Network Intrusion Detection using Hybrid Neural Networks. 1. 563–569. 10 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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