Vinod M. Prabhakaran

87 papers receiving 1.3k citations

Peers

Vinod M. Prabhakaran
Comparison fields: 5 of 55
  • Computer Networks and Communications 954
  • Electrical and Electronic Engineering 764
  • Computer Vision and Pattern Recognition 333
  • Artificial Intelligence 306
  • Computational Mechanics 89
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Ludo Tolhuizen Netherlands
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Vinod M. Prabhakaran relative to Yasutada Oohama Japan Yasutada Oohama's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vinod M. Prabhakaran

Since Specialization
Citations

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

Fields of papers citing papers by Vinod M. Prabhakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinod M. Prabhakaran

This figure shows the co-authorship network connecting the top 25 collaborators of Vinod M. Prabhakaran. A scholar is included among the top collaborators of Vinod M. Prabhakaran 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 Vinod M. Prabhakaran. Vinod M. Prabhakaran 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
1 0
2 1
3 2
4 1
5 1
6 1
7 2
8 1
9 5
10 1
11
Bias and Fairness in Natural Language Processing
21
12 6
13
LATIN AMERICAN PHARMACEUTICAL REGULATORY ENVIRONMEN T - REVIEW ARTICLE
0
14
On interactive message secrecy over erasure networks
1
15 3
16
Secrecy via Sources and Channels -- A Secret Key - Secret Message Rate Trade-off Region
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17 39
18
On the Role of Helpers in Peer-to-Peer File Download Systems: Design, Analysis and Simulation.
40
19 114
20 48

About Vinod M. Prabhakaran

Vinod M. Prabhakaran is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (62 papers), Cooperative Communication and Network Coding (42 papers) and Cryptography and Data Security (15 papers). The work is most often cited by research in Computer Networks and Communications (954 citations), Computer Vision and Pattern Recognition (333 citations) and Electrical and Electronic Engineering (764 citations). Vinod M. Prabhakaran has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Kannan Ramchandran, Alexandros G. Dimakis, Prakash Ishwar, David Tse, Marla Johnson, Daniel Schonberg, Suhas Diggavi, Christina Fragouli, Pramod Viswanath and Rohit Puri. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

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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