E. A. Gopalakrishnan

2.3k total citations · 1 hit paper
45 papers, 1.3k citations indexed

About

E. A. Gopalakrishnan is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, E. A. Gopalakrishnan has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 9 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in E. A. Gopalakrishnan's work include stochastic dynamics and bifurcation (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Chaos control and synchronization (5 papers). E. A. Gopalakrishnan is often cited by papers focused on stochastic dynamics and bifurcation (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Chaos control and synchronization (5 papers). E. A. Gopalakrishnan collaborates with scholars based in India, Saudi Arabia and Germany. E. A. Gopalakrishnan's co-authors include K. P. Soman, Vijay Menon, R. Vinayakumar, R. I. Sujith, V. Sowmya, Rahul Krishnan Pathinarupothi, Ekanath Rangan, Partha Sharathi Dutta, Yogita Sharma and D. Govind and has published in prestigious journals such as Journal of Fluid Mechanics, Scientific Reports and Expert Systems with Applications.

In The Last Decade

E. A. Gopalakrishnan

40 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.

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

2017 595 citations E. A. Gopalakrishnan, Vijay Menon et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
E. A. Gopalakrishnan India	16	435	248	225	212	175	45	1.3k
Jerome T. Connor United States	10	244 0.6×	328 1.3×	569 2.5×	29 0.1×	73 0.4×	16	1.3k
Georges A. Darbellay Czechia	8	170 0.4×	206 0.8×	238 1.1×	10 0.0×	174 1.0×	12	937
Thomas Burr United States	4	51 0.1×	112 0.5×	300 1.3×	31 0.1×	106 0.6×	8	1.0k
Lihua Yang China	16	106 0.2×	96 0.4×	162 0.7×	48 0.2×	40 0.2×	71	783
Jordi Luque Spain	13	65 0.1×	67 0.3×	353 1.6×	48 0.2×	596 3.4×	42	1.6k
William Lefebvre France	5	62 0.1×	126 0.5×	256 1.1×	43 0.2×	43 0.2×	13	830
Aijing Lin China	17	217 0.5×	137 0.6×	107 0.5×	7 0.0×	623 3.6×	57	1.3k
John Berkowitz United States	3	105 0.2×	238 1.0×	519 2.3×	17 0.1×	30 0.2×	3	1.4k
Xiao Chen China	24	38 0.1×	388 1.6×	331 1.5×	87 0.4×	133 0.8×	160	1.9k
Chunxia Zhang China	24	56 0.1×	171 0.7×	552 2.5×	60 0.3×	27 0.2×	124	1.8k

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-authorship network of co-authors of E. A. Gopalakrishnan

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

All Works

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20 of 20 papers shown

Mohanapriya, S., et al.. (2025). Active disturbance reduction on non-homogeneous T-S fuzzy semi-Markovian jump systems and its application to secure digital signal communication. Chaos Solitons & Fractals. 196. 116275–116275.

Gupta, Deepa, et al.. (2025). Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion. Scientific Reports. 15(1). 23548–23548.

Sowmya, V., et al.. (2025). Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms. Physical and Engineering Sciences in Medicine. 48(1). 391–407. 3 indexed citations

Sowmya, V., et al.. (2024). An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks. Digital Signal Processing. 147. 104407–104407. 14 indexed citations

Chandan, K., Pudhari Srilatha, K. Karthik, et al.. (2024). Optimized physics-informed neural network for analyzing the radiative-convective thermal performance of an inclined wavy porous fin. Case Studies in Thermal Engineering. 64. 105423–105423. 3 indexed citations

Gopalakrishnan, E. A., et al.. (2024). A Visibility Graph Approach for Multi-Stage Classification of Parkinson’s Disease Using Multimodal Data. IEEE Access. 12. 87077–87096. 7 indexed citations

Sowmya, V., et al.. (2023). Transformer-based convolutional neural network approach for remote sensing natural scene classification. Remote Sensing Applications Society and Environment. 33. 101126–101126. 6 indexed citations

Ravi, Vinayakumar, et al.. (2023). Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures. Engineering Applications of Artificial Intelligence. 123. 106416–106416. 21 indexed citations

Gopalakrishnan, E. A., et al.. (2023). Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems. IEEE Access. 12. 699–726. 1 indexed citations

10.

Sowmya, V., et al.. (2023). Robust language independent voice data driven Parkinson’s disease detection. Engineering Applications of Artificial Intelligence. 129. 107494–107494. 13 indexed citations

11.

Menon, Vijay, et al.. (2021). Exploring fake news identification using word and sentence embeddings. Journal of Intelligent & Fuzzy Systems. 41(5). 5441–5448. 10 indexed citations

12.

Sowmya, V., et al.. (2020). Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading. 1–5. 13 indexed citations

13.

Sowmya, V., et al.. (2019). Performance Improvement of Deep Learning Architectures for Phonocardiogram Signal Classification using Fast Fourier Transform. 290–294. 4 indexed citations

14.

Gopalakrishnan, E. A., et al.. (2018). Rate Dependent Transitions in Power Systems. 1–5. 1 indexed citations

15.

Gopalakrishnan, E. A., et al.. (2017). Experimental investigation on preconditioned rate induced tipping in a thermoacoustic system. Scientific Reports. 7(1). 5414–5414. 11 indexed citations

16.

Pathinarupothi, Rahul Krishnan, et al.. (2017). Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning. 524–529. 52 indexed citations

17.

Gopalakrishnan, E. A., et al.. (2017). Accurate Estimation of Glottal Closure Instants and Glottal Opening Instants from Electroglottographic Signal Using Variational Mode Decomposition. Circuits Systems and Signal Processing. 37(2). 810–830. 13 indexed citations

18.

Gopalakrishnan, E. A., et al.. (2016). Early warning signals for critical transitions in a thermoacoustic system. Scientific Reports. 6(1). 35310–35310. 73 indexed citations

19.

Gopalakrishnan, E. A., et al.. (2015). Detecting deterministic nature of pressure measurements from a turbulent combustor. Physical Review E. 92(6). 62902–62902. 71 indexed citations

20.

Gopalakrishnan, E. A. & R. I. Sujith. (2014). Influence of System Parameters on the Hysteresis Characteristics of a Horizontal Rijke Tube. International Journal of Spray and Combustion Dynamics. 6(3). 293–316. 29 indexed citations

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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