M. Ramkumar Raja

608 citations
54 papers · 386 · h-index 9

Impact in

Papers in

M. Ramkumar Raja

40 papers receiving 356 citations

Peers

M. Ramkumar Raja
Comparison fields: 5 of 85
  • Electrical and Electronic Engineering 179
  • Energy Engineering and Power Technology 8
  • Health Informatics 3
  • Signal Processing 25
  • Computer Networks and Communications 50
Replace Mohammed S. Alzaidi with:
Mohammed S. Alzaidi Saudi Arabia
C. S. Boopathi India
Usman Masud Pakistan
Xiaoyu Ma China
S. Navaneethan India
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Kakarla Hari Kishore India
T. Karthikeyan India
Sattam Alotaibi Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by M. Ramkumar Raja

Since Specialization
Citations

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

Fields of papers citing papers by M. Ramkumar Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Ramkumar Raja. 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 M. Ramkumar Raja. The network helps show where M. Ramkumar Raja may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Ramkumar Raja, 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 M. Ramkumar Raja Line = papers co-authored together M. Ramkumar Raja links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021172
2 202336
3 202121
4 202519
5 201812
6 201610
7 20259
8 20239
9 20239
10 20138
11 20166
12 20236
13 20255
14 20235
15 20245
16 20255
17 20205
18 20234
19 20134
20 20174

About M. Ramkumar Raja

M. Ramkumar Raja is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 54 papers that have together received 386 indexed citations. Recurring topics across this work include Microwave Engineering and Waveguides (6 papers), Radio Frequency Integrated Circuit Design (6 papers), Antenna Design and Analysis (4 papers), Flow Measurement and Analysis (4 papers), Analog and Mixed-Signal Circuit Design (4 papers), COVID-19 diagnosis using AI (4 papers), Plasmonic and Surface Plasmon Research (3 papers) and Advanced Power Amplifier Design (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (179 citations), Energy Engineering and Power Technology (8 citations), Health Informatics (3 citations), Signal Processing (25 citations) and Computer Networks and Communications (50 citations). M. Ramkumar Raja has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Francis H. Shajin, P. Rajesh, B. Venkataramani, Jacob Wekalao, Dilli Ganesh, Neeraj Kumar Shukla, Abdulilah Mohammad Mayet, P. Mahalakshmi, Fazal Ahmed Talukdar and Mona Aggarwal. Their work appears in journals such as Plasmonics, Microsystem Technologies, Flow Measurement and Instrumentation, Optical and Quantum Electronics and Process Biochemistry.

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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