G. N. Pillai

2.0k citations

78 papers · 1.4k indexed · 1 hit paper · h-index 19

Electrical and Electronic Engineering top 10%
Control and Systems Engineering top 2%
Artificial Intelligence top 5%
Civil and Structural Engineering top 10%
Computer Vision and Pattern Recognition top 10%

Co-authors: K.V. Shihabudheen Ashish Kumar Shakya Sohom Chakrabarty Dragan Jovcic D. N. Gaonkar R. N. Patel Ashutosh Joshi Kirat Pal
Topics: Machine Learning and ELM (18 papers)Power System Optimization and Stability (18 papers)Neural Networks and Applications (18 papers)
Cited by: Energy Engineering and Power Technology Control and Systems Engineering Artificial Intelligence
Journals: Expert Systems with Applications IEEE Access Renewable Energy
Partner nations: India Finland China

In The Last Decade

G. N. Pillai

70 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reinforcement learning algorithms: A brief survey

2023 234 citations Ashish Kumar Shakya, G. N. Pillai et al. Expert Systems with Applications profile →

Peers

Countries citing papers authored by G. N. Pillai

Since Specialization

Citations

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

Fields of papers citing papers by G. N. Pillai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. N. Pillai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A Reinforcement Learning Based Super Twisting Controller for a Rotary Slosh Control Problem 2024 ·Ashish Kumar Shakya,G. N. Pillai,Sohom Chakrabarty	0
2	Multi-Agent Deep Reinforcement Learning based Secondary Voltage Control of Inverter-Based AC Microgrids 2024 ·(unknown),G. N. Pillai,(unknown)	0
3	Hybrid Deep Transfer Learning Models With Machine Learning Models for High Impedance Fault Detection 2023 ·(unknown),G. N. Pillai	0
4	Learning Based Adaptation of Proportional Derivative Controller for a Novel Rotary Slosh Dynamics Model 2023 ·Ashish Kumar Shakya,G. N. Pillai,Sohom Chakrabarty	0
5	Inverted Pendulum Control using Twin Delayed Deep Deterministic Policy Gradient with a Novel Reward Function 2022 ·2022 IEEE Delhi Section Conference (DELCON) ·(unknown),G. N. Pillai	1
6	Electric load forecasting using dual-stage attention network with cosine annealed warm restart schedule 2022 ·(unknown),(unknown),(unknown),G. N. Pillai	2
7	K-Means clustering based Extreme Learning ANFIS with improved interpretability for regression problems 2021 ·Knowledge-Based Systems ·(unknown),G. N. Pillai	27
8	Gene Expression Prediction Using a Deep 1D Convolution Neural Network 2019 ·(unknown),Maya S. Nair,G. N. Pillai	6
9	A Linguistically Interpretable ELANFIS for Classification Problems 2018 ·(unknown),G. N. Pillai	2
10	Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classification 2017 ·Knowledge-Based Systems ·(unknown),G. N. Pillai	43
11	Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classification 2017 ·Expert Systems with Applications ·K.V. Shihabudheen,(unknown),G. N. Pillai	34
12	Prediction of peak ground acceleration using ϵ-SVR, ν-SVR and Ls-SVR algorithm 2016 ·Geomatics Natural Hazards and Risk ·(unknown),G. N. Pillai,Kirat Pal	45
13	Relevance vector-machine-based solar cell model 2014 ·International Journal of Sustainable Energy ·Dipankar Bhattacharya,(unknown),G. N. Pillai	1
14	Improving power oscillation damping using static synchronous series compensator 2013 ·(unknown),(unknown),G. N. Pillai	2
15	Operation and control of multiple Distributed Generation systems in the microgrid 2011 ·International Journal of Energy Technology and Policy ·D. N. Gaonkar,G. N. Pillai	3
16	Comparison of Control Schemes for Frequency Support in DFIG based WECS 2010 ·International Energy Journal ·(unknown),G. N. Pillai,H.O. Gupta	1
17	Steady State Voltage Rise and Its Control in Distribution System with Distributed Generation 2007 ·International Energy Journal ·D. N. Gaonkar,G. N. Pillai,R. N. Patel	1
18	SSR analysis with a new analytical model of Thyristor Controlled Series capacitor 2005 ·G. N. Pillai,Dragan Jovcic	2
19	Discrete system model of a six-pulse SVC 2003 ·Dragan Jovcic,G. N. Pillai	4
20	Torsional oscillation studies in an SSSC compensated power system 2000 ·Electric Power Systems Research ·G. N. Pillai,Arindam Ghosh,Ashutosh Joshi	31

About G. N. Pillai

G. N. Pillai is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and Artificial Intelligence, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Machine Learning and ELM (18 papers), Power System Optimization and Stability (18 papers) and Neural Networks and Applications (18 papers). The work is most often cited by research in Energy Engineering and Power Technology (66 citations), Control and Systems Engineering (487 citations) and Artificial Intelligence (394 citations). G. N. Pillai has collaborated with scholars based in India, Finland and China. Frequent co-authors include K.V. Shihabudheen, Ashish Kumar Shakya, Sohom Chakrabarty, Dragan Jovcic, D. N. Gaonkar, R. N. Patel, Ashutosh Joshi, Kirat Pal, Arindam Ghosh and Pushpak Jagtap. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Renewable Energy.

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.

Explore authors with similar magnitude of impact