G. Murugaboopathi

757 total citations
37 papers, 458 citations indexed

About

G. Murugaboopathi is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, G. Murugaboopathi has authored 37 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 9 papers in Information Systems and 6 papers in Electrical and Electronic Engineering. Recurrent topics in G. Murugaboopathi's work include Mobile Ad Hoc Networks (8 papers), Cloud Computing and Resource Management (7 papers) and Computational Drug Discovery Methods (5 papers). G. Murugaboopathi is often cited by papers focused on Mobile Ad Hoc Networks (8 papers), Cloud Computing and Resource Management (7 papers) and Computational Drug Discovery Methods (5 papers). G. Murugaboopathi collaborates with scholars based in India, Egypt and South Korea. G. Murugaboopathi's co-authors include C. Chellaram, S. Sankaranarayanan, S. Krithika, G.S. Krishna Priya, R. Kanniga Devi, R. Sivakumar, Pandi Vijayakumar, Parasuraman Selvam, M. Muthukannan and T. Prem Anand and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Wireless Personal Communications.

In The Last Decade

G. Murugaboopathi

36 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Murugaboopathi India 10 213 125 65 54 51 37 458
S. Sudha India 12 127 0.6× 160 1.3× 79 1.2× 37 0.7× 29 0.6× 94 468
Vishal Verma India 14 113 0.5× 213 1.7× 30 0.5× 84 1.6× 57 1.1× 49 761
Bin Xing China 16 93 0.4× 92 0.7× 105 1.6× 56 1.0× 104 2.0× 74 684
Seon-Yeong Park South Korea 11 651 3.1× 42 0.3× 53 0.8× 58 1.1× 54 1.1× 30 843
Yunhao Liu China 16 480 2.3× 342 2.7× 66 1.0× 75 1.4× 157 3.1× 40 890
Xiaolin Jiang China 11 178 0.8× 216 1.7× 34 0.5× 81 1.5× 16 0.3× 30 390
Lulu Huang China 11 231 1.1× 134 1.1× 229 3.5× 18 0.3× 77 1.5× 39 621
Jingjing Luo China 13 375 1.8× 307 2.5× 44 0.7× 72 1.3× 44 0.9× 69 614
Zhihua Li China 13 237 1.1× 44 0.4× 54 0.8× 20 0.4× 246 4.8× 46 569
Hongliang Gao China 12 212 1.0× 275 2.2× 40 0.6× 25 0.5× 35 0.7× 57 651

Countries citing papers authored by G. Murugaboopathi

Since Specialization
Citations

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

Fields of papers citing papers by G. Murugaboopathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Murugaboopathi. A scholar is included among the top collaborators of G. Murugaboopathi 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. Murugaboopathi. G. Murugaboopathi 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.
Devaraj, A. Francis Saviour, G. Murugaboopathi, Mohamed Elhoseny, et al.. (2020). An Efficient Framework for Secure Image Archival and Retrieval System Using Multiple Secret Share Creation Scheme. IEEE Access. 8. 144310–144320. 18 indexed citations
2.
Murugaboopathi, G., et al.. (2020). An Efficient Cloud Data Center Allocation to the Source of Requests. Journal of Organizational and End User Computing. 32(3). 23–36. 20 indexed citations
3.
Murugaboopathi, G., et al.. (2020). A Novel Hybrid Intrusion Detection Using Flow-Based Anomaly Detection and Cross-Layer Features in Wireless Sensor Network. Automatic Control and Computer Sciences. 54(1). 62–69. 11 indexed citations
4.
Narayanan, S. & G. Murugaboopathi. (2020). Prevention of rushing attack in MANET using threshold-based approach. International Journal of Internet Technology and Secured Transactions. 10(5). 576–576. 3 indexed citations
5.
Murugaboopathi, G., et al.. (2019). Computer Aided Drug Design for finding a therapeutics for Dengue Virus Targets. International Journal of Innovative Technology and Exploring Engineering. 9(2S2). 766–771. 2 indexed citations
6.
Murugaboopathi, G. & S. Sankaranarayanan. (2019). Prevention of Rushing Attack in MANET using Threshold Based Approach. International Journal of Internet Technology and Secured Transactions. 1(1). 1–1. 1 indexed citations
7.
Balamurali, S., et al.. (2019). Prediction of Dengue-Human Protein Interaction Using Artificial Neural Network for Anti-Viral Drug Discovery. SSRN Electronic Journal. 2 indexed citations
8.
Murugaboopathi, G., et al.. (2019). Hybrid Bacteria Foraging Optimization with Cuckoo Search Algorithm for Optimal Clusterhead Selection in Wireless Sensor Networks. International Journal of Engineering and Advanced Technology. 9(1s4). 87–92. 1 indexed citations
9.
Murugaboopathi, G., et al.. (2019). Fresh Fruit Supply Chain Sensing and Transaction Using IoT. 1–4. 8 indexed citations
10.
Murugaboopathi, G., et al.. (2019). OPTIMAL AND FAST HAND GESTURE RECOGNITION MODEL USING FASTER R-CNN. Recent Patents on Computer Science. 12. 1 indexed citations
11.
Murugaboopathi, G., et al.. (2018). A Novel Customized Big Data Analytics Framework for Drug Discovery. Journal of Cyber Security and Mobility. 7(1). 145–160. 3 indexed citations
12.
Devi, R. Kanniga, G. Murugaboopathi, & M. Muthukannan. (2018). Load monitoring and system-traffic-aware live VM migration-based load balancing in cloud data center using graph theoretic solutions. Cluster Computing. 21(3). 1623–1638. 14 indexed citations
13.
14.
Murugaboopathi, G., et al.. (2018). Lead Optimization Studies Towards Finding NS2B/NS3 Protease Targetspecific Inhibitors as Potential Anti-dengue Drug-like Compounds. Current Drug Discovery Technologies. 16(3). 307–314. 6 indexed citations
15.
Devi, R. Kanniga & G. Murugaboopathi. (2018). Application of Graph Theory Concepts in Computer Networks and its Suitability for the Resource Provisioning Issues in Cloud Computing-A Review. Journal of Computer Science. 14(2). 163–172. 8 indexed citations
16.
Murugaboopathi, G., et al.. (2017). Bacteria Foraging Algorithm Based Optimal Multi Sink Placement in Wireless Sensor Networks. Journal of Intelligent Systems. 27(4). 609–618. 5 indexed citations
17.
Devi, R. Kanniga & G. Murugaboopathi. (2016). An Energy-Efficient Tree-Based Approach for Optimal Virtual Machine Placement in Cloud Environment. SSRN Electronic Journal. 1 indexed citations
18.
Murugaboopathi, G., et al.. (2014). A RECENT SECURE INTRUSION DETECTION SYSTEM FOR MANETS. 4 indexed citations
19.
Anand, T. Prem, et al.. (2013). Applications of Biosensors in Food Industry. Biosciences Biotechnology Research Asia. 10(2). 711–714. 16 indexed citations
20.
Murugaboopathi, G., et al.. (2013). Study on Cloud Computing and Security Approaches. 3 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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