Ramesh Pyndiah

1.2k citations
47 papers · 430 · h-index 11

Impact in

Papers in

Ramesh Pyndiah

39 papers receiving 369 citations

Peers

Ramesh Pyndiah
Comparison fields: 5 of 31
  • Computer Networks and Communications 284
  • Electrical and Electronic Engineering 367
  • Artificial Intelligence 143
  • Signal Processing 24
  • Computational Theory and Mathematics 27
Replace Ofer Amrani with:
Ofer Amrani Israel
Aik Chindapol United States
B.L. Yeap United Kingdom
Insung Kang South Korea
Johan Eilert Sweden
F. Schreckenbach Germany
O.M. Collins United States
Danyo Danev Sweden
Zhizhen Wu China
Yawgeng A. Chau Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Ramesh Pyndiah

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Pyndiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002137
2 200240
3 200231
4 201427
5 200623
6 201216
7 200214
8 200213
9 201111
10 198911
11
New decoding strategy for underdetermined MIMO transmission using sparse decomposition
201310
12 20119
13 19898
14 20087
15 20097
16 20117
17 20147
18 20055
19 20124
20 19994

About Ramesh Pyndiah

Ramesh Pyndiah is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 47 papers that have together received 430 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (22 papers), Error Correcting Code Techniques (17 papers), Coding theory and cryptography (10 papers), Wireless Communication Networks Research (9 papers), Advanced MIMO Systems Optimization (5 papers), PAPR reduction in OFDM (5 papers), Cooperative Communication and Network Coding (4 papers) and Advanced Wireless Network Optimization (4 papers). The work is most often cited by research in Computer Networks and Communications (284 citations), Electrical and Electronic Engineering (367 citations), Artificial Intelligence (143 citations), Signal Processing (24 citations) and Computational Theory and Mathematics (27 citations). Ramesh Pyndiah has collaborated with scholars based in France, Tunisia and Finland. Frequent co-authors include Annie Picart, Alain Glavieux, Karine Amis, Patrick Adde, Abdeldjalil Aïssa El Bey, Dominique Pastor, Raphaël Le Bidan, Catherine Douillard, Claudine Berr and Ammar Bouallègue. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, Electronics Letters, IEEE Transactions on Broadcasting, IEEE Transactions on Vehicular Technology and IEEE Wireless Communications Letters.

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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