Naresh Nayak

20 total papers · 1.1k total citations
17 papers, 798 citations indexed

About

Naresh Nayak is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Naresh Nayak has authored 17 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Naresh Nayak's work include Software-Defined Networks and 5G (10 papers), Caching and Content Delivery (7 papers) and Network Time Synchronization Technologies (7 papers). Naresh Nayak is often cited by papers focused on Software-Defined Networks and 5G (10 papers), Caching and Content Delivery (7 papers) and Network Time Synchronization Technologies (7 papers). Naresh Nayak collaborates with scholars based in Germany and Taiwan. Naresh Nayak's co-authors include Frank Dürr, Kurt Rothermel, Stephan Kehrer, Sebastian Schildt, Michael Menth, Jörg Ott, Nitinder Mohan, D. Babu, Steffen Lindner and Wenwen Chen and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Vehicular Technology Magazine and ACM SIGBED Review.

In The Last Decade

Naresh Nayak

16 papers receiving 778 citations

Hit Papers

No-wait Packet Scheduling... 2016 2026 2019 2022 2016 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Naresh Nayak 735 400 143 100 89 17 798
Hesham Elbakoury 633 0.9× 168 0.4× 279 2.0× 95 0.9× 33 0.4× 17 740
Soheil Samii 501 0.7× 590 1.5× 182 1.3× 49 0.5× 217 2.4× 46 820
Lucia Seno 585 0.8× 196 0.5× 197 1.4× 112 1.1× 82 0.9× 45 701
L. S. Woo 265 0.4× 103 0.3× 177 1.2× 89 0.9× 113 1.3× 17 866
Chengjie Wu 644 0.9× 142 0.4× 317 2.2× 92 0.9× 63 0.7× 29 865
Paolo Gai 500 0.7× 706 1.8× 50 0.3× 13 0.1× 136 1.5× 41 805
Rachana Ashok Gupta 520 0.7× 69 0.2× 109 0.8× 34 0.3× 106 1.2× 11 915
J.A. Stankovic 730 1.0× 377 0.9× 124 0.9× 15 0.1× 91 1.0× 30 913
You Xu 626 0.9× 157 0.4× 219 1.5× 99 1.0× 69 0.8× 25 875
Claudio Pinello 206 0.3× 511 1.3× 95 0.7× 13 0.1× 223 2.5× 30 795

Countries citing papers authored by Naresh Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naresh Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Naresh Nayak. A scholar is included among the top collaborators of Naresh Nayak 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 Naresh Nayak. Naresh Nayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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