R. Dhanasekaran

95 papers receiving 764 citations

Peers

R. Dhanasekaran
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 333
  • Electrical and Electronic Engineering 287
  • Neurology 265
  • Radiology, Nuclear Medicine and Imaging 185
  • Artificial Intelligence 114
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Citations per field
00.5×10×15.8×
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Citations per year

Countries citing papers authored by R. Dhanasekaran

Since Specialization
Citations

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

Fields of papers citing papers by R. Dhanasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Dhanasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of R. Dhanasekaran. A scholar is included among the top collaborators of R. Dhanasekaran 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 R. Dhanasekaran. R. Dhanasekaran 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 1
3 24
4 15
5
Speed Control of Switched Reluctance Motor Using Soft Computing Technique for Industrial Applications
4
6
Fault-Tolerant Wireless Communication System for Process Control in Wind Power Stations
0
7
Combining Tissue Segmentation and Neural Network for Brain Tumor Detection
75
8 1
9 1
10
A New Passive Snubber for Improvement of Efficiency in Soft Switched Boost PFC Converter for Battery Charging Systems
0
11 3
12 1
13 18
14
Path Discovery And Selection For Energy Efficient Routing With Transmit Power Control In MANET
7
15 3
16
Energy Efficient Back off Scheme with Adaptive Contention Window
1
17
Modelling and Simulation of Closed Loop Controlled Buck Converter Fed Pmbldc Drive System
2
18
A COMBINED METHOD USING FUZZY CLUSTERING AND MGGVF SNAKEMODEL FOR BRAIN TUMOR SEGMENTATION ON MRI IMAGES
1
19 5
20 2

About R. Dhanasekaran

R. Dhanasekaran is a scholar working on Neurology, Health Information Management and Electrical and Electronic Engineering, having authored 110 papers that have together received 909 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (16 papers), Advanced DC-DC Converters (15 papers) and Multilevel Inverters and Converters (15 papers). The work is most often cited by research in Neurology (265 citations), Computer Vision and Pattern Recognition (333 citations) and Health Information Management (60 citations). R. Dhanasekaran has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include A. Jayachandran, D. Selvaraj, G. Mahendran, Ahmed F. Zobaa, Shady H. E. Abdel Aleem, S. Muthulakshmi, M. Periyasamy, V. Bhanumathi, R. Nagarajan and M. Periyasamy. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, Journal of Magnetism and Magnetic Materials and Journal of Crystal Growth.

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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