Innovative Research Award
Madhiarasan Manoharan
Independent Researcher, India
Madhiarasan Manoharan is an independent researcher in the subject area of Data Science and Analytics. His research profile in the context of the Innovative Research Award, presented at the International Academic Achievements & Awards event [4].
Abstract
This article presents a scholarly overview of Madhiarasan Manoharan, an independent researcher working in Data Science and Analytics. It summarises his bibliometric indicators as recorded in Scopus, outlines the scope of his research activity, and considers his recognition through the Innovative Research Award [1][4].
Keywords
Data science; analytics; independent research; bibliometrics; Scopus; academic recognition; innovative research.
Introduction
Data science and analytics draw on statistics, computing and domain knowledge to extract useful information from data. Researchers in this field often contribute across several application areas. Madhiarasan Manoharan conducts his research as an independent researcher, and his publication record is indexed in the Scopus database [1][5].
Research Profile
The Scopus profile, identified by Author ID 56997519900, records the following indicators [1]:
- Documents indexed: 31
- Total citations: 624
- h-index: 10
- Subject area: Data Science and Analytics
The researcher is also identifiable through an ORCID record, a persistent digital identifier that links a researcher to his or her scholarly outputs [2].
Research Contributions
His work falls within Data Science and Analytics, with emphasis on the analytical and computational treatment of data. The indexed output shows sustained scholarly activity, and the citation count indicates that parts of this work have been referenced by other researchers [1]. Detailed descriptions of individual studies are available through the publication records listed on the Scopus profile and in the DOI-registered articles [3].
Publications
The Scopus database lists 31 documents under this author profile [1]. Representative publications can be verified through their Digital Object Identifiers (DOIs), which provide permanent links to the published versions [3]. Readers are encouraged to consult the full list on the profile for complete bibliographic details.
Research Impact
Citation-based indicators offer one measure of research visibility. A total of 624 citations and an h-index of 10 indicate that at least ten of his documents have each received ten or more citations [1]. Such metrics are descriptive and should be read alongside the quality and context of the work itself.
Award Suitability
The Innovative Research Award, presented at the International Academic Achievements & Awards event, recognises researchers whose work shows originality and scholarly merit [4]. His suitability may be considered on the following grounds:
- A body of 31 indexed documents in a recognised database [1]
- Citation evidence of 624 citations and an h-index of 10 [1]
- Independent research activity within Data Science and Analytics
Conclusion
Madhiarasan Manoharan has built a documented research record in Data Science and Analytics as an independent researcher. His Scopus indicators support his consideration for the Innovative Research Award [1][4].
External Links
References
- Madhiarasan, M., & Louzazni, M. (2022). Analysis of artificial neural network: Architecture, types, and forecasting applications. Journal of Electrical and Computer Engineering, 2022(1), 5416722.
https://doi.org/10.1155/2022/5416722
- Madhiarasan, M., & Deepa, S. N. (2016). Comparative analysis on hidden neurons estimation in multi layer perceptron neural networks for wind speed forecasting. Artificial Intelligence Review, 1–23.
https://doi.org/10.1007/s10462-016-9506-6
- Al-Dahidi, S., Madhiarasan, M., Al-Ghussain, L., Abubaker, A. M., Ahmad, A. D., et al. (2024). Forecasting solar photovoltaic power production: A comprehensive review and innovative data-driven modeling framework. Energies, 17(16), 4145.
https://doi.org/10.3390/en17164145
- Madhiarasan, M., & Roy, P. P. (2022). A comprehensive review of sign language recognition: Different types, modalities, and datasets. arXiv preprint arXiv:2204.03328.
https://arxiv.org/abs/2204.03328
- Madhiarasan, M., & Deepa, S. N. (2016). A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecasting. Applied Intelligence, 44(4), 878–893.
https://doi.org/10.1007/s10489-015-0737-z