Ramachandran Vaidyanathan

842 citations
75 papers · 393 indexed · h-index 12

Ramachandran Vaidyanathan

63 papers receiving 360 citations

Peers

Ramachandran Vaidyanathan
Comparison fields: 5 of 52
  • Hardware and Architecture 115
  • Computer Networks and Communications 234
  • Computational Theory and Mathematics 61
  • Computer Graphics and Computer-Aided Design 9
  • Numerical Analysis 14
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Salvatore Filippone Italy
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Citations per field
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Citations per year

Countries citing papers authored by Ramachandran Vaidyanathan

Since Specialization
Citations

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

Fields of papers citing papers by Ramachandran Vaidyanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20221
3 20224
4 20212
5 20183
6 20181
7 20152
8 201411
9
Bayesian classification of tongue movement based on wavelet packet transformation
20092
10
Pattern classification of tongue movement ear pressure signal based on wavelet packet feature extraction
20094
11 20066
12 20045
13
On Designing Implementable Algorithms for the Linear Reconfigurable Mesh.
20033
14 20031
15
Reconfigurable Mesh on the Reconfigurable Tree Array
20021
16 20021
17 19979
18 19951
19 199215
20 19810

About Ramachandran Vaidyanathan

Ramachandran Vaidyanathan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Discrete Mathematics and Combinatorics, having authored 75 papers that have together received 393 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (29 papers), Parallel Computing and Optimization Techniques (15 papers), Modular Robots and Swarm Intelligence (14 papers), Optimization and Search Problems (12 papers), Algorithms and Data Compression (11 papers), Embedded Systems Design Techniques (10 papers), Distributed systems and fault tolerance (9 papers) and Advanced Optical Network Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (115 citations), Computer Networks and Communications (234 citations) and Computational Theory and Mathematics (61 citations). Ramachandran Vaidyanathan has collaborated with scholars based in United States, India and China. Frequent co-authors include Jerry L. Trahan, Gokarna Sharma, Anu G. Bourgeois, Byung-Jun Yoon, Suresh Rai, Costas Busch, Shuangqing Wei, Shuhang Wu, Yi Pan and Jian Yuan. Their work appears in journals such as IEEE Transactions on Information Theory, Physics Letters A and IEEE Transactions on Parallel and Distributed Systems.

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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