Gopalakrishnan E. A
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
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- EEG and Brain-Computer Interfaces 1
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- Brain Tumor Detection and Classification 2
- Co-authors
- Soman K.P. (5 shared papers)Vijay Menon (1 shared paper)V. Sowmya (4 shared papers)Vinayakumar Ravi (3 shared papers)Chinmay Chakraborty (1 shared paper)V. V. Sajith Variyar (1 shared paper)
- Journals
- Multimedia Tools and Applications (2 papers)Computer Methods and Programs in Biomedicine (1 paper)IEEE Transactions on Engineering Management (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Gopalakrishnan E. A
5 papers receiving 452 citations
Gopalakrishnan E. A's Hit Papers
Peers
Comparison fields: 5 of 66
- Management Science and Operations Research 327
- Finance 97
- Health Informatics 7
- Signal Processing 48
- Health Information Management 17
Countries citing papers authored by Gopalakrishnan E. A
This map shows the geographic impact of Gopalakrishnan E. A'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 Gopalakrishnan E. A with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gopalakrishnan E. A more than expected).
Fields of papers citing papers by Gopalakrishnan E. A
This network shows the impact of papers produced by Gopalakrishnan E. A. 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 Gopalakrishnan E. A. The network helps show where Gopalakrishnan E. A may publish in the future.
Co-authors
The 6 scholars most cited alongside Gopalakrishnan E. A, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | NSE Stock Market Prediction Using Deep-Learning Models Hit paper breakdown → | 2018 | 378 |
| 2 | 2021 | 61 | |
| 3 | 2023 | 28 | |
| 4 | 2022 | 20 | |
| 5 | 2019 | 3 | |
| 6 | 2025 | 0 |
About Gopalakrishnan E. A
Gopalakrishnan E. A is a scholar working on Cognitive Neuroscience, Neurology, Occupational Therapy, Neurology and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 490 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (2 papers), Remote Sensing in Agriculture (1 paper), Dementia and Cognitive Impairment Research (1 paper), Machine Learning in Healthcare (1 paper), Pressure Ulcer Prevention and Management (1 paper), Leaf Properties and Growth Measurement (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (327 citations), Finance (97 citations), Health Informatics (7 citations), Signal Processing (48 citations) and Health Information Management (17 citations). Gopalakrishnan E. A has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Soman K.P., Vijay Menon, V. Sowmya, Vinayakumar Ravi, Chinmay Chakraborty and V. V. Sajith Variyar. Their work appears in journals such as Multimedia Tools and Applications, Computer Methods and Programs in Biomedicine, IEEE Transactions on Engineering Management and Procedia Computer Science.
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.