Padmanabhan Pillai

6.0k citations
83 papers · 4.3k indexed · 3 hit papers · h-index 30
Topics
Modular Robots and Swarm Intelligence (22 papers)IoT and Edge/Fog Computing (20 papers)Parallel Computing and Optimization Techniques (13 papers)

In The Last Decade

Padmanabhan Pillai

79 papers receiving 4.0k citations

Hit Papers

Real-time dynamic voltage scaling for low-power embedded ...2001202620092017200120142015250500750

Peers

Padmanabhan Pillai
Comparison fields: 5 of 94
  • Computer Networks and Communications 2.6k
  • Computer Vision and Pattern Recognition 1.1k
  • Hardware and Architecture 1.1k
  • Electrical and Electronic Engineering 965
  • Information Systems 957
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Citations per field
00.5×1.5×2.4×
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 of co-authors of Padmanabhan Pillai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 4
6 2
7 9
8 39
9 19
10
Mainstream: dynamic stem-sharing for multi-tenant video processing
44
11 67
12
Towards wearable cognitive assistancebreakdown →
356
13
Automatic tuning of interactive perception applications
3
14 6
15 65
16 42
17 15
18
Design and implementation of power-aware virtual memory
129
19
Energy-Aware Quality of Service Adaptation
7
20
Improving Wait-Free Algorithms for Interprocess Communication in Embedded Real-Time Systems
31

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) and Parallel Computing and Optimization Techniques (13 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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