Padmanabhan Pillai

6.0k citations
83 papers · 4.3k indexed · 3 hit papers · h-index 30

Padmanabhan Pillai

79 papers receiving 4.0k citations

Hit Papers

Edge Analytics in the Internet of Things2952001202620092017250500750

Peers

Padmanabhan Pillai
Comparison fields: 5 of 94
  • Hardware and Architecture 1.1k
  • Computer Networks and Communications 2.6k
  • Computer Vision and Pattern Recognition 1.1k
  • Information Systems 957
  • Computer Science Applications 178
Replace Anthony A. Maciejewski with:
Anthony A. Maciejewski United States
A. Hopper United Kingdom
Zoran Salčić New Zealand
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Citations per field
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Anthony A. Maciejewski · 1×
Citations per year

Countries citing papers authored by Padmanabhan Pillai

Since Specialization
Citations

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

Fields of papers citing papers by Padmanabhan Pillai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20241
5 20234
6 20232
7 20219
8 201939
9 201919
10
Mainstream: dynamic stem-sharing for multi-tenant video processing
201844
11 201767
12
Towards wearable cognitive assistancebreakdown →
2014356
13
Automatic tuning of interactive perception applications
20103
14 20096
15 200765
16 200642
17 200515
18
Design and implementation of power-aware virtual memory
2003129
19
Energy-Aware Quality of Service Adaptation
20037
20
Improving Wait-Free Algorithms for Interprocess Communication in Embedded Real-Time Systems
200231

About Padmanabhan Pillai

Padmanabhan Pillai is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 83 papers that have together received 4.3k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (22 papers), IoT and Edge/Fog Computing (20 papers), Parallel Computing and Optimization Techniques (13 papers), Context-Aware Activity Recognition Systems (11 papers), Cloud Computing and Resource Management (9 papers), Distributed systems and fault tolerance (9 papers), Optimization and Search Problems (8 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Computer Networks and Communications (2.6k citations) and Computer Vision and Pattern Recognition (1.1k citations). Padmanabhan Pillai has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Kang G. Shin, Mahadev Satyanarayanan, Kiryong Ha, Wenlu Hu, Zhuo Chen, W. Richter, Brandon Amos, Jason Campbell, Junjue Wang and Pieter Simoens. Their work appears in journals such as PLoS ONE, The International Journal of Robotics Research and IEEE/ACM Transactions on Networking.

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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