V. Vasudevan

822 total citations
72 papers, 478 citations indexed

About

V. Vasudevan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, V. Vasudevan has authored 72 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 26 papers in Information Systems and 17 papers in Artificial Intelligence. Recurrent topics in V. Vasudevan's work include Cloud Computing and Resource Management (15 papers), Distributed and Parallel Computing Systems (15 papers) and Mobile Ad Hoc Networks (12 papers). V. Vasudevan is often cited by papers focused on Cloud Computing and Resource Management (15 papers), Distributed and Parallel Computing Systems (15 papers) and Mobile Ad Hoc Networks (12 papers). V. Vasudevan collaborates with scholars based in India, United States and Germany. V. Vasudevan's co-authors include S. Dhanasekaran, Shajulin Benedict, E. A. Mary Anita, R. Raja Subramanian, E. Baburaj, A. Priya, Abhinav Sethy, Seifedine Kadry, R. Lakshmana Kumar and A. Chandrasekar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and Biomedical Signal Processing and Control.

In The Last Decade

V. Vasudevan

66 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Vasudevan India 11 253 196 151 111 77 72 478
Mahmood ul Hassan Pakistan 12 314 1.2× 213 1.1× 143 0.9× 61 0.5× 111 1.4× 43 468
Yang Qin China 14 462 1.8× 167 0.9× 212 1.4× 133 1.2× 178 2.3× 103 772
Yongkai Fan China 13 177 0.7× 326 1.7× 302 2.0× 81 0.7× 46 0.6× 34 570
Manmath Narayan Sahoo India 13 272 1.1× 137 0.7× 93 0.6× 79 0.7× 108 1.4× 37 485
Alsharif Abuadbba Australia 13 194 0.8× 112 0.6× 359 2.4× 77 0.7× 109 1.4× 52 578
Girdhari Singh India 14 460 1.8× 261 1.3× 199 1.3× 107 1.0× 187 2.4× 51 758
Taochun Wang China 13 268 1.1× 209 1.1× 110 0.7× 50 0.5× 109 1.4× 39 497
Akramul Azim Canada 12 292 1.2× 87 0.4× 114 0.8× 61 0.5× 128 1.7× 96 456
Shakir Fattah Kak Iraq 13 201 0.8× 281 1.4× 131 0.9× 113 1.0× 60 0.8× 27 531

Countries citing papers authored by V. Vasudevan

Since Specialization
Citations

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

Fields of papers citing papers by V. Vasudevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Vasudevan

This figure shows the co-authorship network connecting the top 25 collaborators of V. Vasudevan. A scholar is included among the top collaborators of V. Vasudevan 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 V. Vasudevan. V. Vasudevan 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.
Priya, A. & V. Vasudevan. (2024). Advanced Attention-Based Pre-Trained Transfer Learning Model for Accurate Brain Tumor Detection and Classification from MRI Images. Optical Memory and Neural Networks. 33(4). 477–491. 2 indexed citations
2.
Dhanasekaran, S., et al.. (2023). Efficient and secure medical big data management system using optimal map-reduce framework and deep learning. Multimedia Tools and Applications. 83(16). 47111–47138. 4 indexed citations
3.
Dhanasekaran, S., et al.. (2023). Depend Ability Analysis on CPS Using Machine Learning Techniques. SHILAP Revista de lepidopterología. 5(1). 339–348. 1 indexed citations
4.
Vasudevan, V., et al.. (2022). Wireless edge device intelligent task offloading in mobile edge computing using hyper-heuristics. EURASIP Journal on Advances in Signal Processing. 2022(1). 1 indexed citations
5.
Vasudevan, V., et al.. (2022). An improved privacy aware secure multi-cloud model with proliferate ElGamal encryption for big data storage. International Journal of Information and Computer Security. 17(1/2). 1–1. 2 indexed citations
6.
Vasudevan, V., et al.. (2022). Alcohol Detection and Emergency Alert System using IoT. 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS). 395–400. 3 indexed citations
7.
Vasudevan, V., et al.. (2021). Emperor Penguin Optimization Based Least Square Support Vector Machines for Short Term Load Forecasting in Power Systems. 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). 9. 1–6. 1 indexed citations
8.
Vasudevan, V., et al.. (2020). Enhanced Priority Based Load Balance Scheduling of Parallel Work Load in Cloud Computing. SSRN Electronic Journal. 1 indexed citations
9.
Dhanasekaran, S., et al.. (2019). A Reliable Agent System for Cloud Service Discovery using MFA Technique. International Journal of Recent Technology and Engineering (IJRTE). 8(4S2). 682–685. 1 indexed citations
10.
Dhanasekaran, S., et al.. (2019). Enhanced Map Reduce Techniques for Big Data Analytics based on K-Means Clustering. 1–5. 5 indexed citations
11.
Dhanasekaran, S. & V. Vasudevan. (2018). A Cognizant agent system for optimizing cloud service searching strategy. Cluster Computing. 22(S6). 13381–13386. 4 indexed citations
12.
Raj, R. Joshua Samuel & V. Vasudevan. (2014). Intelligent Reliable Schedule with Budget Constraints in Grid Computing. Research Journal of Applied Sciences Engineering and Technology. 7(4). 650–655. 2 indexed citations
13.
Vasudevan, V., et al.. (2012). RECOGNITION OF THE FACE IMAGES WITH OCCLUSION AND EXPRESSION. International Journal of Pattern Recognition and Artificial Intelligence. 26(3). 1256006–1256006. 4 indexed citations
14.
Anita, E. A. Mary & V. Vasudevan. (2009). Black Hole Attack on Multicast Routing Protocols.. Journal of Convergence Information Technology. 4. 64–68. 6 indexed citations
15.
Vasudevan, V., et al.. (2009). Scalable secure multicast using multi server approach for wireless environments. 1–10. 2 indexed citations
16.
Chandrasekar, A., Vani Rajasekar, & V. Vasudevan. (2009). Improved Authentication and Key Agreement Protocol Using Elliptic Curve Cryptography. 6 indexed citations
17.
Vasudevan, V., et al.. (2008). An agent based TCP/IP for Wireless Networks.. International Journal of Digital Content Technology and its Applications. 2. 47–52. 3 indexed citations
18.
Baburaj, E. & V. Vasudevan. (2008). An Enhanced tree based MAODV Protocol for MANETs using Genetic Algorithm.. Journal of Convergence Information Technology. 3. 28–33. 4 indexed citations
19.
Benedict, Shajulin, et al.. (2008). An Evolutionary Hybrid Scheduling Algorithm for Computational Grids. Journal of Advanced Computational Intelligence and Intelligent Informatics. 12(5). 479–484. 4 indexed citations
20.
Baburaj, E. & V. Vasudevan. (2008). An Intelligent Multicast Ad-hoc On demand Distance Vector Protocol for MANETs. Journal of Networks. 3(6). 6 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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