Radha Poovendran

10.0k citations
232 papers · 5.9k indexed · h-index 42

Radha Poovendran

217 papers receiving 5.4k citations

Peers

Radha Poovendran
Comparison fields: 5 of 109
  • Computer Networks and Communications 4.1k
  • Artificial Intelligence 1.6k
  • Electrical and Electronic Engineering 2.3k
  • Information Systems 623
  • Signal Processing 293
Replace Sammy Chan with:
Sammy Chan Hong Kong
Shibo He China
Maode Ma Singapore
Abdul Hanan Abdullah Malaysia
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Radha Poovendran relative to Sammy Chan Hong Kong Sammy Chan's profile →
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Citations per year

Countries citing papers authored by Radha Poovendran

Since Specialization
Citations

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

Fields of papers citing papers by Radha Poovendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20240
3 20242
4 20244
5 20240
6 20232
7 20230
8 20230
9 202110
10 202112
11 20191
12 20185
13 201814
14
Deep Neural Networks Do Not Recognize Negative Images.
20175
15 201219
16
Securing Wireless Sensor Networks
20091
17 20093
18
The AES-CMAC Algorithm
200637
19
Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks (Advances in Information Security)
200617
20
Secure Broadcast in Energy-Aware Wireless Sensor Networks
20029

About Radha Poovendran

Radha Poovendran is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 232 papers that have together received 5.9k indexed citations. Recurring topics across this work include Security in Wireless Sensor Networks (55 papers), Network Security and Intrusion Detection (37 papers), Mobile Ad Hoc Networks (36 papers), Energy Efficient Wireless Sensor Networks (33 papers), Vehicular Ad Hoc Networks (VANETs) (23 papers), Smart Grid Security and Resilience (20 papers), Cryptography and Data Security (19 papers) and Air Traffic Management and Optimization (16 papers). The work is most often cited by research in Computer Networks and Communications (4.1k citations), Artificial Intelligence (1.6k citations) and Electrical and Electronic Engineering (2.3k citations). Radha Poovendran has collaborated with scholars based in United States, Saudi Arabia and Italy. Frequent co-authors include Loukas Lazos, Krishna Sampigethaya, Mingyan Li, Andrew Clark, Leping Huang, Linda Bushnell, Patrick Tague, Intae Kang, Basel Alomair and Iordanis Koutsopoulos. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Automatic Control, IEEE Transactions on Mobile Computing, ACM Transactions on Sensor Networks and Wireless Networks.

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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