N. Malarvizhi
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Hardware and Architecture top 10%
- Co-authors
- V. Rhymend UthariarajPethuru RajK. MeenaA. SureshS. GeethaE. KannanMan-Fai LeungM. Shyamala Devi
- Topics
- Cloud Computing and Resource Management (8 papers)Distributed and Parallel Computing Systems (8 papers)IoT and Edge/Fog Computing (6 papers)
- Partner nations
- IndiaUnited KingdomIreland
In The Last Decade
N. Malarvizhi
39 papers receiving 222 citations
Peers
Comparison fields: 5 of 65
- Computer Networks and Communications 112
- Information Systems 99
- Artificial Intelligence 52
- Computer Vision and Pattern Recognition 43
- Hardware and Architecture 40
Countries citing papers authored by N. Malarvizhi
This map shows the geographic impact of N. Malarvizhi'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 N. Malarvizhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Malarvizhi more than expected).
Fields of papers citing papers by N. Malarvizhi
This network shows the impact of papers produced by N. Malarvizhi. 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 N. Malarvizhi. The network helps show where N. Malarvizhi may publish in the future.
Co-authorship network of co-authors of N. Malarvizhi
This figure shows the co-authorship network connecting the top 25 collaborators of N. Malarvizhi. A scholar is included among the top collaborators of N. Malarvizhi 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 N. Malarvizhi. N. Malarvizhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 38 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Mitigate black hole attack using trust with AODV in MANET | 2 |
| 17 | 9 | |
| 18 | Hierarchical Status Information Exchange Scheduling and Load Balancing For Computational Grid Environments | 12 |
| 19 | 7 | |
| 20 | 11 |
About N. Malarvizhi
N. Malarvizhi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 42 papers that have together received 250 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), Distributed and Parallel Computing Systems (8 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Hardware and Architecture (40 citations), Computer Networks and Communications (112 citations) and Information Systems (99 citations). N. Malarvizhi has collaborated with scholars based in India, United Kingdom and Ireland. Frequent co-authors include V. Rhymend Uthariaraj, Pethuru Raj, K. Meena, A. Suresh, S. Geetha, E. Kannan, Man-Fai Leung, M. Shyamala Devi, J. Amudhavel and R. Krishnamoorthy. Their work appears in journals such as Sensors, Environmental Science and Pollution Research and Multimedia Tools and Applications.
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.