Arvind Chakrapani

507 citations
43 papers · 278 · h-index 11

Impact in

Papers in

Arvind Chakrapani

36 papers receiving 261 citations

Peers

Arvind Chakrapani
Comparison fields: 5 of 72
  • Computer Networks and Communications 57
  • Electrical and Electronic Engineering 108
  • Computer Vision and Pattern Recognition 35
  • Industrial and Manufacturing Engineering 15
  • Water Science and Technology 21
Replace Muhammad Yousuf Irfan Zia with:
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Jose Anand India
Adrian Graur Romania
R. Kanthavel Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Chakrapani

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Chakrapani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Arvind Chakrapani, 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 Arvind Chakrapani Line = papers co-authored together Arvind Chakrapani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202233
2 202225
3 201924
4 202220
5 201719
6 201316
7 201914
8 201913
9 202212
10 201412
11 202210
12 201610
13 20209
14 20217
15 20246
16 20235
17 20225
18 20175
19 20214
20 20234

About Arvind Chakrapani

Arvind Chakrapani is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Hardware and Architecture and Media Technology, having authored 43 papers that have together received 278 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (10 papers), Analog and Mixed-Signal Circuit Design (8 papers), PAPR reduction in OFDM (6 papers), Optical Network Technologies (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Wireless Communication Networks Research (4 papers), VLSI and Analog Circuit Testing (3 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Computer Networks and Communications (57 citations), Electrical and Electronic Engineering (108 citations), Computer Vision and Pattern Recognition (35 citations), Industrial and Manufacturing Engineering (15 citations) and Water Science and Technology (21 citations). Arvind Chakrapani has collaborated with scholars based in India, Ethiopia and Australia. Frequent co-authors include K. Srihari, M. Arunkumar, J. Senthilnath, Venkatesa Prabhu Sundramurthy, V. Palanisamy, A. Sreedevi, K. Somasundaram, M. Pushpalatha, P. G. Diwakar and S.N. Omkar. Their work appears in journals such as Sadhana, Analog Integrated Circuits and Signal Processing, Arabian Journal for Science and Engineering, Scientific Reports and Soft Computing.

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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