R. Kalidoss

489 citations
30 papers · 350 · h-index 12

Impact in

Papers in

R. Kalidoss

28 papers receiving 335 citations

Peers

R. Kalidoss
Comparison fields: 5 of 61
  • Aerospace Engineering 111
  • Computer Networks and Communications 100
  • Electrical and Electronic Engineering 199
  • Computer Vision and Pattern Recognition 33
  • Neurology 13
Replace Jian Guo with:
Jian Guo China
S. Palanivel Rajan India
Rokaia M. Zaki Egypt
Kunrui Cao China
Bakhtiar Ali Pakistan
Bernardo Camajori Tedeschini Italy
Medhat Elsayed Canada
Jianan Bai China
Qiao Qi China
Aly Sabri Abdalla United States
R. Kalidoss relative to Jian Guo China Jian Guo's profile →
Citations per field
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Jian Guo · 1×
Citations per year

Countries citing papers authored by R. Kalidoss

Since Specialization
Citations

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

Fields of papers citing papers by R. Kalidoss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside R. Kalidoss, 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 R. Kalidoss Line = papers co-authored together R. Kalidoss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202255
2 202240
3 201738
4 202020
5 201616
6 202015
7 201514
8 202113
9 201913
10 201612
11 201711
12 201511
13 201611
14 201810
15 201410
16 20189
17 20179
18 20167
19 20215
20 20065

About R. Kalidoss

R. Kalidoss is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 30 papers that have together received 350 indexed citations. Recurring topics across this work include Antenna Design and Analysis (11 papers), Wireless Communication Networks Research (9 papers), Advanced MIMO Systems Optimization (8 papers), Advanced Wireless Communication Techniques (7 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers), Advanced Antenna and Metasurface Technologies (5 papers), Energy Harvesting in Wireless Networks (4 papers) and Microwave Engineering and Waveguides (4 papers). The work is most often cited by research in Aerospace Engineering (111 citations), Computer Networks and Communications (100 citations), Electrical and Electronic Engineering (199 citations), Computer Vision and Pattern Recognition (33 citations) and Neurology (13 citations). R. Kalidoss has collaborated with scholars based in India, Saudi Arabia and Ghana. Frequent co-authors include B. Partibane, Piyush Kumar Pareek, Prashant Kumar Shukla, Stephen Jeswinde Nuagah, Sajjad Shaukat Jamal, M. Gulam Nabi Alsath, Muhammad Aslam, Manish Maheshwari, V. Nagarajan and R. Sukanesh. Their work appears in journals such as International Journal of RF and Microwave Computer-Aided Engineering, Wireless Personal Communications, Computational Intelligence and Neuroscience, IEEE Antennas and Wireless Propagation Letters and Computers & Electrical Engineering.

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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