N. Suthanthira Vanitha

57 papers receiving 482 citations

Peers

N. Suthanthira Vanitha
Comparison fields: 5 of 93
  • Artificial Intelligence 160
  • Electrical and Electronic Engineering 151
  • Renewable Energy, Sustainability and the Environment 119
  • Computer Vision and Pattern Recognition 64
  • Control and Systems Engineering 61
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Countries citing papers authored by N. Suthanthira Vanitha

Since Specialization
Citations

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

Fields of papers citing papers by N. Suthanthira Vanitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Suthanthira Vanitha. 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. Suthanthira Vanitha. The network helps show where N. Suthanthira Vanitha may publish in the future.

Co-authorship network of co-authors of N. Suthanthira Vanitha

This figure shows the co-authorship network connecting the top 25 collaborators of N. Suthanthira Vanitha. A scholar is included among the top collaborators of N. Suthanthira Vanitha 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. Suthanthira Vanitha. N. Suthanthira Vanitha 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
#WorkIndexed citations
1 0
2 18
3 0
4 1
5 20
6 1
7 1
8 0
9 2
10 2
11
Development of four stress levels in group stroop colour word test using HRV analysis
11
12 1
13
Energy Efficiency Maximization In Cognitive Radio Channels Using Modified Water Filling Algorithm
0
14
DUAL VOLTAGE CONTROL OF REDUCED SWITCH HYBRID QUASI Z MULTILEVEL INVERTER FOR ISOLATED ENERGY SYSTEMS
1
15
AFractional brownian motion and fractal analysis of brain mri images: A review
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16 0
17 6
18 1
19
GSM BASED AUTOMATIC TRIP CONTROL SYSTEM FOR ENERGYMANAGEMENT
3
20 21

About N. Suthanthira Vanitha

N. Suthanthira Vanitha is a scholar working on Renewable Energy, Sustainability and the Environment, Automotive Engineering and Neurology, having authored 76 papers that have together received 547 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (14 papers), Multilevel Inverters and Converters (8 papers) and Advanced DC-DC Converters (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (119 citations), Artificial Intelligence (160 citations) and Automotive Engineering (52 citations). N. Suthanthira Vanitha has collaborated with scholars based in India, United States and Oman. Frequent co-authors include Ramachandran Ramani, S. Valarmathy, G. Suresh, S. Murugan, E. Parimalasundar, G. Padmavathi, P. S. Aithal, Shubhrajyotsna Aithal, Sriram Sankaran and N. Mohankumar. Their work appears in journals such as Applied Physics Letters, Polymers and Neural Computing 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.

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