Naresh Nayak

16 papers receiving 786 citations

Hit Papers

No-wait Packet Scheduling for IEEE Time-sensitive Network...2016202620192022201650100150200

Peers

Naresh Nayak
Comparison fields: 5 of 37
  • Computer Networks and Communications 746
  • Hardware and Architecture 401
  • Electrical and Electronic Engineering 148
  • Biomedical Engineering 100
  • Computational Theory and Mathematics 90
Replace Stephan Kehrer with:
Stephan Kehrer Germany
Luxi Zhao China
Ahmed Nasrallah United States
Max Felser Switzerland
Hesham Elbakoury United States
Xing Shao China
Soheil Samii Sweden
Lucia Seno Italy
Julián Proenza Spain
Xu Jiang China
Naresh Nayak relative to Stephan Kehrer Germany Stephan Kehrer's profile →
Citations per field
00.5×
Stephan Kehrer · 1×
Citations per year

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

17 of 17 papers shown
#WorkIndexed citations
1 5
2 6
3 0
4 3
5 2
6 1
7 2
8
P4 In-Network Source Protection for Sensor Failover
1
9 4
10 2
11 39
12 119
13 44
14 164
15
No-wait Packet Scheduling for IEEE Time-sensitive Networks (TSN)breakdown →
242
16 124
17 48

About Naresh Nayak

Naresh Nayak is a scholar working on Hardware and Architecture, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 806 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (10 papers), Network Time Synchronization Technologies (7 papers) and Caching and Content Delivery (7 papers). The work is most often cited by research in Hardware and Architecture (401 citations), Computer Networks and Communications (746 citations) and Industrial and Manufacturing Engineering (64 citations). Naresh Nayak has collaborated with scholars based in Germany and Taiwan. Frequent co-authors include Frank Dürr, Kurt Rothermel, Jonathan Falk, Stephan Kehrer, Sebastian Schildt, Michael Menth, Nitinder Mohan, Jörg Ott, Wenwen Chen and Steffen Lindner. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Vehicular Technology Magazine and ACM SIGBED Review.

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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