Vishnu Navda

2.0k citations
30 papers · 1.5k indexed · h-index 18

Vishnu Navda

29 papers receiving 1.4k citations

Peers

Vishnu Navda
Comparison fields: 5 of 48
  • Computer Networks and Communications 1.3k
  • Electrical and Electronic Engineering 957
  • Computer Science Applications 44
  • Computer Vision and Pattern Recognition 110
  • Transportation 35
Replace Gergely Záruba with:
Gergely Záruba United States
Yatin Chawathe United States
Philipp Svoboda Austria
Lichun Bao United States
Ming‐Tuo Zhou Singapore
Liqun Li China
Suzan Bayhan Finland
J. Broch United States
Vania Conan France
Özgür Erçetin Türkiye
Vishnu Navda relative to Gergely Záruba United States Gergely Záruba's profile →
Citations per field
00.5×3.0×
Gergely Záruba · 1×
Citations per year

Countries citing papers authored by Vishnu Navda

Since Specialization
Citations

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

Fields of papers citing papers by Vishnu Navda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20171
2
Insider: Towards Breaking Down Mobile App Silos
20152
3 20158
4 20135
5 201345
6 201129
7 20109
8 201017
9 201019
10 2010111
11 200995
12 200818
13 200889
14 2007197
15 2007145
16 20070
17 200611
18 200693
19 200581
20 200575

About Vishnu Navda

Vishnu Navda is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Instrumentation, Computer Science Applications and Signal Processing, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (12 papers), Green IT and Sustainability (12 papers), Mobile Ad Hoc Networks (10 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Caching and Content Delivery (5 papers), Advanced MIMO Systems Optimization (5 papers), Energy Harvesting in Wireless Networks (4 papers) and Cooperative Communication and Network Coding (3 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Electrical and Electronic Engineering (957 citations), Computer Science Applications (44 citations), Computer Vision and Pattern Recognition (110 citations) and Transportation (35 citations). Vishnu Navda has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Ramachandran Ramjee, Samir R. Das, Venkata N. Padmanabhan, S. Ganguly, Dan Rubenstein, Samir R. Das, Himanshu Gupta, A. Kashyap, Anand Prabhu Subramanian and Pralhad Deshpande. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, ACM Transactions on Sensor Networks, IEEE Journal on Selected Areas in Communications, Networked Systems Design and Implementation and Swinburne Research Bank (Swinburne University of Technology).

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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