N. Arumugam

640 total citations
25 papers, 474 citations indexed

About

N. Arumugam is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, N. Arumugam has authored 25 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in N. Arumugam's work include Advanced MEMS and NEMS Technologies (7 papers), Acoustic Wave Resonator Technologies (6 papers) and Analog and Mixed-Signal Circuit Design (6 papers). N. Arumugam is often cited by papers focused on Advanced MEMS and NEMS Technologies (7 papers), Acoustic Wave Resonator Technologies (6 papers) and Analog and Mixed-Signal Circuit Design (6 papers). N. Arumugam collaborates with scholars based in United States, India and Netherlands. N. Arumugam's co-authors include M. Sundaram, K. Ramar, Sudhakar Pamarti, Shouvik Mukherjee, Aaron Partridge, Michael H. Perrott, V. Mani, F. Assaderaghi, S. Tabatabaei and Charles Grosjean and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and Applied Soft Computing.

In The Last Decade

N. Arumugam

23 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Arumugam United States 11 249 192 156 127 74 25 474
Takayuki Hamamoto Japan 13 225 0.9× 129 0.7× 419 2.7× 50 0.4× 33 0.4× 141 692
Vineet Sahula India 13 269 1.1× 121 0.6× 99 0.6× 60 0.5× 119 1.6× 68 554
Masayuki Ikebe Japan 12 325 1.3× 54 0.3× 193 1.2× 40 0.3× 98 1.3× 84 528
Chandra Mouli India 14 281 1.1× 29 0.2× 269 1.7× 49 0.4× 26 0.4× 61 628
Meixia Fu China 9 381 1.5× 40 0.2× 70 0.4× 67 0.5× 167 2.3× 20 574
Xin Shen United States 15 90 0.4× 139 0.7× 305 2.0× 204 1.6× 93 1.3× 50 751
Linlin Yang China 13 151 0.6× 123 0.6× 354 2.3× 48 0.4× 73 1.0× 31 580
Cyrus Bamji United States 10 256 1.0× 87 0.5× 243 1.6× 28 0.2× 22 0.3× 23 643
K. Dejhan Thailand 10 346 1.4× 273 1.4× 115 0.7× 39 0.3× 29 0.4× 47 520

Countries citing papers authored by N. Arumugam

Since Specialization
Citations

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

Fields of papers citing papers by N. Arumugam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Arumugam

This figure shows the co-authorship network connecting the top 25 collaborators of N. Arumugam. A scholar is included among the top collaborators of N. Arumugam 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. Arumugam. N. Arumugam 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.
Samuel, T. S. Arun, et al.. (2022). Power and Threshold Voltage Analysis of 14 nm FinFET 12T SRAM Cell for Low Power Applications. Journal of Nano- and Electronic Physics. 14(5). 5008–1. 3 indexed citations
2.
Arumugam, N., et al.. (2021). SAPON approach: A new technique for Low Power VLSI Design. 1–6. 4 indexed citations
3.
Mani, V., et al.. (2021). Performance comparison of CNN, QNN and BNN deep neural networks for real-time object detection using ZYNQ FPGA node. Microelectronics Journal. 119. 105319–105319. 30 indexed citations
4.
Arumugam, N., et al.. (2021). Investigation of High-K Gate Dielectrics and Chirality on the Performance of Nanoscale CNTFET. Journal of Nano- and Electronic Physics. 13(2). 2026–1. 1 indexed citations
5.
6.
Arumugam, N. & P. Balasubramanian. (2020). A Novel Microprogrammed Reconfigurable Parallel VHBCSE Based FIR Filter for Wireless Sensor Nodes. Wireless Personal Communications. 115(3). 2197–2210. 4 indexed citations
7.
Sundaram, M., et al.. (2020). Facial emotion recognition using subband selective multilevel stationary wavelet gradient transform and fuzzy support vector machine. The Visual Computer. 37(8). 2315–2329. 21 indexed citations
8.
Arumugam, N., et al.. (2020). DESIGN OF FIR FILTER USING EFFICIENT ADDER AND MULTIPLIER FOR ECG SIGNAL PROCESSING APPLICATIONS. International Journal of Engineering Applied Sciences and Technology. 4(9). 276–282. 2 indexed citations
9.
Samuel, T. S. Arun, et al.. (2017). DESIGN OF ADIABATIC LOGIC BASED COMPARATOR FOR LOW POWER AND HIGH SPEED APPLICATIONS. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Samuel, T. S. Arun, et al.. (2017). DESIGN OF ADIABATIC LOGIC BASED COMPARATOR FOR LOW POWER AND HIGH SPEED APPLICATIONS. 3(1). 365–369. 2 indexed citations
11.
12.
Mukherjee, Shouvik, N. Arumugam, Peter R. Galle, et al.. (2014). 12.9 A 1.55&#x00D7;0.85mm<sup>2</sup> 3ppm 1.0&#x03BC;A 32.768kHz MEMS-based oscillator. 226–227. 7 indexed citations
13.
Sundaram, M., et al.. (2014). EFFICIENT EDGE EMPHASIZED MAMMOGRAM IMAGE ENHANCEMENT FOR DETECTION OF MICROCALCIFICATION. Biomedical Engineering Applications Basis and Communications. 26(5). 1450056–1450056. 1 indexed citations
14.
Perrott, Michael H., Fred C. Lee, Aaron Partridge, et al.. (2012). A temperature-to-digital converter for a MEMS-based programmable oscillator with better than &#x00B1;0.5ppm frequency stability. 206–208. 26 indexed citations
15.
Sundaram, M., et al.. (2012). Histogram-modified local contrast enhancement for mammogram images. International Journal of Biomedical Engineering and Technology. 9(1). 60–60. 11 indexed citations
16.
Melamud, Renata, P.M. Hagelin, Charles Grosjean, et al.. (2012). MEMS ENABLES OSCILLATORS WITH SUB-PPM FREQUENCY STABILITY AND SUB-PS JITTER. 66–69. 18 indexed citations
17.
18.
Lee, Cathy, Shouvik Mukherjee, Renata Melamud, et al.. (2011). A programmable MEMS-based clock generator with sub-ps jitter performance. 158–159. 12 indexed citations
19.
Sundaram, M., et al.. (2011). Histogram based contrast enhancement for mammogram images. 842–846. 41 indexed citations
20.
Sundaram, M., et al.. (2011). Histogram Modified Local Contrast Enhancement for mammogram images. Applied Soft Computing. 11(8). 5809–5816. 96 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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