Ramachandran Vaidyanathan

63 papers receiving 360 citations

Peers

Ramachandran Vaidyanathan
Comparison fields: 5 of 52
  • Computer Networks and Communications 234
  • Hardware and Architecture 115
  • Electrical and Electronic Engineering 94
  • Mechanical Engineering 64
  • Computational Theory and Mathematics 61
Replace Salvatore Filippone with:
Salvatore Filippone Italy
Matthias Weber Germany
Robert E. Hiromoto United States
Robert Heaphy United States
Peng Du China
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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 of co-authors of Ramachandran Vaidyanathan

This figure shows the co-authorship network connecting the top 25 collaborators of Ramachandran Vaidyanathan. A scholar is included among the top collaborators of Ramachandran Vaidyanathan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ramachandran Vaidyanathan. Ramachandran Vaidyanathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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8 11
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Bayesian classification of tongue movement based on wavelet packet transformation
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Pattern classification of tongue movement ear pressure signal based on wavelet packet feature extraction
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On Designing Implementable Algorithms for the Linear Reconfigurable Mesh.
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Reconfigurable Mesh on the Reconfigurable Tree Array
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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) and Modular Robots and Swarm Intelligence (14 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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