Prakash Narayan

3.4k citations
73 papers · 2.1k · h-index 21

Impact in

Papers in

Prakash Narayan

66 papers receiving 2.0k citations

Peers

Prakash Narayan
Comparison fields: 5 of 74
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 1.6k
  • Computer Vision and Pattern Recognition 528
  • Computational Theory and Mathematics 372
  • Artificial Intelligence 462
Replace G. Mazzini with:
G. Mazzini Italy
András György Canada
Michael Rodeh Israel
Oliver Kosut United States
A. J. Han Vinck Germany
Fang‐Wei Fu China
Johannes Blömer Germany
Ertem Tuncel United States
Ravi Tandon United States
Gopal Pandurangan United States
Prakash Narayan relative to G. Mazzini Italy G. Mazzini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Prakash Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Prakash Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998340
2 2004273
3 1988204
4 2000187
5 1995100
6 200894
7 199166
8 198865
9 202361
10 200257
11 198752
12 201048
13 200743
14 201232
15 201130
16 198929
17 199629
18 199428
19 200524
20 198824

About Prakash Narayan

Prakash Narayan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (40 papers), Chaos-based Image/Signal Encryption (21 papers), DNA and Biological Computing (15 papers), Cellular Automata and Applications (13 papers), Error Correcting Code Techniques (11 papers), Cryptography and Data Security (10 papers), Bayesian Methods and Mixture Models (7 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Electrical and Electronic Engineering (1.6k citations), Computer Vision and Pattern Recognition (528 citations), Computational Theory and Mathematics (372 citations) and Artificial Intelligence (462 citations). Prakash Narayan has collaborated with scholars based in United States, Hungary and Australia. Frequent co-authors include Imre Csiszár, Amos Lapidoth, Chunxuan Ye, Himanshu Tyagi, Arup Kumar Das, Sirin Nitinawarat, Kaushik Chakraborty, Alexander Barg, Donald L. Snyder and Piyush Gupta. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of Applied Probability, Toxics, Materials Today Proceedings and Australian Journal of Statistics.

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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