Ganesh Kumar Venayagamoorthy

Electrical and Electronic Engineering · 2008–2018

A researcher in the Science corpus: 6 papers; trusts 39 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 68 citations into it; #2,066 of 16,539 by trust here, #4,633 by citations
• Computer Networks and Communications — 50 citations into it; #7,800 of 9,886 by trust here, #3,638 by citations
• Artificial Intelligence — 32 citations into it
• Control and Systems Engineering — 22 citations into it
• Computational Theory and Mathematics — 17 citations into it
• Automotive Engineering — 15 citations into it; #290 of 3,081 by trust here, #1,602 by citations
• Biomedical Engineering — 10 citations into it
• Ocean Engineering — 8 citations into it; #2,360 of 3,193 by trust here, #1,725 by citations

Whom Ganesh Kumar Venayagamoorthy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Eberhart
2. Kevin M. Passino
3. Ramesh Rajagopalan
4. Yuhui Shi
5. Yamille del Valle
6. Konstantinos E. Parsopoulos
7. Wendi Rabiner Heinzelman
8. Xiaohui Hu
9. Zwe-Lee Gaing
10. Mohammad Ali Abido

Who trusts Ganesh Kumar Venayagamoorthy overall

1. Joy Chandra Mukherjee
2. Pierluigi Siano
3. Ahmed Yousuf Saber
4. Arobinda Gupta
5. Junjie Hu
6. Raghavendra V. Kulkarni
7. Eric Sortomme
8. Xi Fang
9. Pinar Çivicioglu

Papers from Ganesh Kumar Venayagamoorthy's perspective

Ordered by how strongly the researchers Ganesh Kumar Venayagamoorthy trusts endorse each paper. Same corpus, a different order for every researcher.

1. Genetic Algorithms in Search Optimization and Machine Learning
2. Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
3. Tracking and optimizing dynamic systems with particle swarms (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
4. Wireless sensor networks: a survey
5. Energy-efficient communication protocol for wireless microsensor networks (Proceedings of the Annual Hawaii International Conference on System Sciences)
6. Swarm Intelligence (Lecture Notes in Computer Science)
7. Optimal des'ign of Power System Stabilizers Using Particle Swarm Opt'imization (IEEE Power Engineering Review)
8. Optimal Design of Power System Stabilizer Using Particle Swarm Optimization
9. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization (Annual Conference on Genetic and Evolutionary Computation)
10. Reinforcement Learning: An Introduction

Their papers

• Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions (2011) — 841 citations
• Review of Internet of Things (IoT) in Electric Power and Energy Systems (2018) — 590 citations
• Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems (2008) — 2,324 citations
• Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey (2011) — 749 citations
• Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles (2012) — 336 citations
• Computational Intelligence in Wireless Sensor Networks: A Survey (2011) — 728 citations