V. Elamaran

1.1k citations
92 papers · 771 · h-index 13

Impact in

Papers in

V. Elamaran

82 papers receiving 723 citations

Peers

V. Elamaran
Comparison fields: 5 of 97
  • Signal Processing 128
  • Hardware and Architecture 72
  • Neurology 108
  • Physical Therapy, Sports Therapy and Rehabilitation 33
  • Computer Vision and Pattern Recognition 120
Replace Clayton R. Pereira with:
Clayton R. Pereira Brazil
Konrad Wojciechowski Poland
Mohammad Pooyan Iran
Jinsu Lee South Korea
Seda Arslan Tuncer Türkiye
Sven Nõmm Estonia
Kamran Kazemi Iran
Mohammad I. Daoud Jordan
Sumantra Dutta Roy India
Mehmet Engin Türkiye
V. Elamaran relative to Clayton R. Pereira Brazil Clayton R. Pereira's profile →
Citations per field
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Clayton R. Pereira · 1×
Citations per year

Countries citing papers authored by V. Elamaran

Since Specialization
Citations

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

Fields of papers citing papers by V. Elamaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside V. Elamaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Elamaran Line = papers co-authored together V. Elamaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018197
2 201837
3 201736
4 201936
5 201427
6 201824
7 201821
8
FPGA IMPLEMENTATION OF POINT PROCESSES USING XILINX SYSTEM GENERATOR
201219
9 201216
10 201215
11 201815
12 201815
13 201912
14 202012
15 201611
16 201710
17 20189
18 20149
19 20189
20 20159

About V. Elamaran

V. Elamaran is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 92 papers that have together received 771 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (18 papers), ECG Monitoring and Analysis (14 papers), Analog and Mixed-Signal Circuit Design (12 papers), Image and Signal Denoising Methods (12 papers), Radiation Effects in Electronics (10 papers), VLSI and FPGA Design Techniques (10 papers), EEG and Brain-Computer Interfaces (10 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). The work is most often cited by research in Signal Processing (128 citations), Hardware and Architecture (72 citations), Neurology (108 citations), Physical Therapy, Sports Therapy and Rehabilitation (33 citations) and Computer Vision and Pattern Recognition (120 citations). V. Elamaran has collaborated with scholars based in India, China and Colombia. Frequent co-authors include K. Narasimhan, N. Arunkumar, Enas Abdulhay, V. Venkatraman, Har Narayan Upadhyay, Gustavo Ramírez-González, Luming Yang, Weijie Wang, Ahmed Faeq Hussein and P. Ganesan. Their work appears in journals such as Indian Journal of Science and Technology, IEEE Access, Asian Journal of Scientific Research, Future Generation Computer Systems and Journal of Applied Sciences.

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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