E. A. Gopalakrishnan

2.4k citations

45 papers · 1.4k · 1 hit paper · h-index 16

Impact in

Management Science and Operations Research top 1%
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Finance top 5%
- Financial Markets and Investment Strategies

Papers in

Statistical and Nonlinear Physics 14
- stochastic dynamics and bifurcation 6
- Chaos control and synchronization 5
- Advanced Thermodynamics and Statistical Mechanics 5
Artificial Intelligence 9
- Speech Recognition and Synthesis 4

Co-authors: K. P. Soman (14 shared papers)Vijay Menon (5 shared papers)R. Vinayakumar (1 shared paper)R. I. Sujith (10 shared papers)V. Sowmya (19 shared papers)Rahul Krishnan Pathinarupothi (2 shared papers)Ekanath Rangan (2 shared papers)D. Govind (4 shared papers)
Journals: Chaos An Interdisciplinary Journal of Nonlinear Science (4 papers)Scientific Reports (3 papers)Engineering Applications of Artificial Intelligence (2 papers)IEEE Access (2 papers)Case Studies in Thermal Engineering (1 paper)
Partner nations: India Saudi Arabia Germany

In The Last Decade

E. A. Gopalakrishnan

41 papers receiving 1.3k citations

E. A. Gopalakrishnan's Hit Papers

align trajectories log scale

Stock price prediction using LSTM, RNN and CNN-sliding window model 2017 · 623 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2017 Stock price prediction using LSTM, RNN and CNN-sliding window model

Peers

Countries citing papers authored by E. A. Gopalakrishnan

Since Specialization

Citations

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

Fields of papers citing papers by E. A. Gopalakrishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. A. Gopalakrishnan. 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 E. A. Gopalakrishnan. The network helps show where E. A. Gopalakrishnan may publish in the future.

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Stock price prediction using LSTM, RNN and CNN-sliding window model Sreelekshmy Selvin, R. Vinayakumar, E. A. Gopalakrishnan, Vijay Menon, K. P. Soman Hit paper breakdown →	2017	623
2	Early warning signals for critical transitions in a thermoacoustic system Scientific Reports ·E. A. Gopalakrishnan, Yogita Sharma, Tony John, Partha Sharathi Dutta, R. I. Sujith	2016	75
3	Detecting deterministic nature of pressure measurements from a turbulent combustor Physical Review E ·J. Tony, E. A. Gopalakrishnan, E. Sreelekha, R. I. Sujith	2015	72
4	Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning Rahul Krishnan Pathinarupothi, R Vinaykumar, Ekanath Rangan, E. A. Gopalakrishnan, K. P. Soman	2017	56
5	Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning Rahul Krishnan Pathinarupothi, Dhara Prathap J., Ekanath Rangan, E. A. Gopalakrishnan, R Vinaykumar, K. P. Soman	2017	53
6	Recurrence networks to study dynamical transitions in a turbulent combustor Chaos An Interdisciplinary Journal of Nonlinear Science ·Vedasri Godavarthi, Vishnu R. Unni, E. A. Gopalakrishnan, R. I. Sujith	2017	50
7	Effect of external noise on the hysteresis characteristics of a thermoacoustic system Journal of Fluid Mechanics ·E. A. Gopalakrishnan, R. I. Sujith	2015	49
8	Influence of System Parameters on the Hysteresis Characteristics of a Horizontal Rijke Tube International Journal of Spray and Combustion Dynamics ·E. A. Gopalakrishnan, R. I. Sujith	2014	30
9	Explainable artificial intelligence for heart rate variability in ECG signal Healthcare Technology Letters ·K. Sanjana, V. Sowmya, E. A. Gopalakrishnan, Soman K.P.	2020	28
10	Stock price prediction using dynamic mode decomposition Deepthi Praveenlal Kuttichira, E. A. Gopalakrishnan, Vijay Menon, K. P. Soman	2017	25
11	Stochastic bifurcations in a prototypical thermoacoustic system Physical review. E ·E. A. Gopalakrishnan, J. Tony, E. Sreelekha, R. I. Sujith	2016	23
12	Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures Engineering Applications of Artificial Intelligence ·Arun Prakash J., Asswin C.R., Dharshan Kumar K.S., Avinash Dora, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, Soman K.P.	2023	23
13	Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition Circuits Systems and Signal Processing ·G. Jyothish Lal, E. A. Gopalakrishnan, D. Govind	2018	21
14	Centralized CNN–GRU Model by Federated Learning for COVID-19 Prediction in India IEEE Transactions on Computational Social Systems ·Mredulraj S. Pandianchery, V. Sowmya, E. A. Gopalakrishnan, Vinayakumar Ravi, K. P. Soman	2023	21
15	Deep Learning Based Approach for Multiple Myeloma Detection M.T. Vyshnav, V. Sowmya, E. A. Gopalakrishnan, V. V. Sajith Variyar, Vijay Menon, P. Soman K	2020	20
16	Modified Vgg Deep Learning Architecture For Covid-19 Classification Using Bio-Medical Images IOP Conference Series Materials Science and Engineering ·R. Anand, V. Sowmya, VIJAYKRISHNAMENON, E. A. Gopalakrishnan, K. P. Soman	2021	16
17	Parkinson’s Disease Classification from Magnetic Resonance Images (MRI) using Deep Transfer Learned Convolutional Neural Networks 2021 IEEE 18th India Council International Conference (INDICON) ·Iswarya Kannoth Veetil, E. A. Gopalakrishnan, V. Sowmya, K. P. Soman	2021	15
18	An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks Digital Signal Processing ·Iswarya Kannoth Veetil, Divi Eswar Chowdary, Paleti Nikhil Chowdary, V. Sowmya, E. A. Gopalakrishnan	2024	15
19	Robust language independent voice data driven Parkinson’s disease detection Engineering Applications of Artificial Intelligence ·Iswarya Kannoth Veetil, V. Sowmya, Juan Rafael Orozco‐Arroyave, E. A. Gopalakrishnan	2023	14
20	Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading Ramji Balasubramanian, V. Sowmya, E. A. Gopalakrishnan, Vijay Menon, V. V. Sajith Variyar, K. P. Soman	2020	14

About E. A. Gopalakrishnan

E. A. Gopalakrishnan is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Global and Planetary Change, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (6 papers), Chaos control and synchronization (5 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), EEG and Brain-Computer Interfaces (4 papers), COVID-19 diagnosis using AI (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Speech Recognition and Synthesis (4 papers) and Ecosystem dynamics and resilience (4 papers). The work is most often cited by research in Management Science and Operations Research (456 citations), Finance (121 citations), Signal Processing (129 citations), Statistical and Nonlinear Physics (148 citations) and Computational Mechanics (216 citations). E. A. Gopalakrishnan has collaborated with scholars based in India, Saudi Arabia and Germany. Frequent co-authors include K. P. Soman, Vijay Menon, R. Vinayakumar, R. I. Sujith, V. Sowmya, Rahul Krishnan Pathinarupothi, Ekanath Rangan, D. Govind, Yogita Sharma and Partha Sharathi Dutta. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Scientific Reports, Engineering Applications of Artificial Intelligence, IEEE Access and Case Studies in Thermal Engineering.

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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E. A. Gopalakrishnan

E. A. Gopalakrishnan's Hit Papers

Peers

Countries citing papers authored by E. A. Gopalakrishnan

Fields of papers citing papers by E. A. Gopalakrishnan

All Works

About E. A. Gopalakrishnan

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