Madhiarasan Manoharan | Data Science and Analytics | Innovative Research Award

Innovative Research Award

Madhiarasan Manoharan
Independent Researcher, India

Madhiarasan Manoharan
Affiliation Independent Researcher
Country India
Scopus ID 56997519900
Documents 31
Citations 624
h-index 10
Subject Area Data Science and Analytics
Event International Soil Scientist Awards

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].

References

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

Lyubomur Lyubenov | Data Science and Analytics | Innovative Research Award

Innovative Research Award

Lyubomur Lyubenov
Researcher Lyubomur Lyubenov
Affiliation University of Ruse “Angel Kanchev”
Country Bulgaria
Google Scholar ID OE5r13gAAAAJ
Documents 182
Citations 175
h-index 7
Subject Area Data Science and Analytics
Event International Soil Scientist Awards
ORCID 0000-0002-5500-0265

Lyubomur Lyubenov
University of Ruse “Angel Kanchev”, Bulgaria

Lyubomur Lyubenov is a researcher affiliated with the University of Ruse “Angel Kanchev”, Bulgaria. His scholarly activities span agricultural economics, agricultural markets, beekeeping economics, rural development, and analytical methods applied to market research. His publications demonstrate a sustained interest in understanding agricultural value chains, market structures, and the economic sustainability of beekeeping and agricultural production systems. His academic record, supported by numerous publications and citations, reflects continued contributions to applied research relevant to agriculture and data-driven decision making.[1]

Abstract

The Innovative Research Award recognizes researchers whose scholarly work demonstrates originality, practical significance, and measurable academic contribution. Lyubomur Lyubenov has developed research focused on agricultural economics, agricultural market organization, beekeeping economics, and market analysis. His studies provide valuable evidence regarding agricultural product commercialization, market development, and economic sustainability. Through publications, conference participation, and analytical investigations, his work contributes to understanding agricultural market dynamics while supporting evidence-based policy and management decisions.[1][3]

Keywords

Agricultural Economics, Agricultural Markets, Data Science and Analytics, Beekeeping Economics, Honey Markets, Market Analysis, SWOT Analysis, Rural Development, Economic Research, Sustainable Agriculture.

Introduction

Academic research in agricultural economics increasingly relies on multidisciplinary analytical approaches that integrate economics, market intelligence, policy analysis, and data interpretation. Lyubenov’s research reflects these characteristics through investigations of agricultural markets and the economic performance of beekeeping sectors. His publications examine both domestic and international market environments, providing practical perspectives relevant to producers, policymakers, researchers, and agricultural stakeholders.[2]

Research Profile

Lyubomur Lyubenov has produced a substantial body of academic work comprising approximately 182 documented scholarly outputs and an h-index of 7. His research interests primarily include agricultural economics, agricultural market structures, commercialization of agricultural products, beekeeping economics, rural economic development, and analytical evaluation of agricultural sectors. His publications have received over 175 citations, indicating continued academic engagement with his research.[1]

Research Contributions

  • Investigated international and domestic markets for bee products, evaluating commercial opportunities and market dynamics.[3]
  • Published research addressing agricultural product marketing and commercialization through comprehensive economic analysis.[4]
  • Conducted SWOT analyses of Bulgarian beekeeping to identify strategic development opportunities.[5]
  • Examined development potential within Bulgarian beekeeping industries and agricultural markets.
  • Studied market diversification opportunities beyond traditional honey production, broadening understanding of value-added bee products.

Publications

  1. International and national markets for bee products. Economic Thought Journal, 102–121 (2019).
  2. Пазари и реализация на земеделски продукти. Monograph. ISBN 978-619-207-039-7 (2016).
  3. SWOT Analysis of the Bulgarian Beekeeping (2018).
  4. Potential of Bulgarian Beekeeping. Round Table Proceedings (2017).
  5. Beekeeping Markets outside the Honey Category. Journal of Mountain Agriculture on the Balkans.

Research Impact

The research portfolio demonstrates continued engagement with economically important issues affecting agriculture and apiculture. By combining market analysis with applied economic investigation, the work contributes to understanding agricultural competitiveness, market diversification, and sustainable commercialization. The documented publication record and citation profile indicate scholarly visibility while supporting future research in agricultural economics and market analytics.[1]

Award Suitability

Lyubomur Lyubenov’s sustained scholarly activity, emphasis on analytical research, publication productivity, and contributions to agricultural market studies demonstrate characteristics aligned with the objectives of the Innovative Research Award. His work illustrates the application of research methodologies to practical agricultural challenges while supporting knowledge development in agricultural economics and related analytical disciplines.[1][4]

Conclusion

The academic record of Lyubomur Lyubenov demonstrates consistent engagement in agricultural economics and market-oriented research. His investigations into beekeeping economics, agricultural product commercialization, and market development contribute to scholarly understanding of agricultural systems. Collectively, these achievements provide a solid academic foundation supporting recognition through the Innovative Research Award.

References

  1. Google Scholar. (n.d.). Lyubomur Lyubenov Scholar Profile.
    https://scholar.google.com/citations?hl=bg&user=OE5r13gAAAAJ
  2. ORCID. (n.d.). ORCID Record: 0000-0002-5500-0265.
    https://orcid.org/0000-0002-5500-0265
  3. Lyubenov, L. (2019). International and National Markets for Bee Products. Economic Thought Journal.
    https://ideas.repec.org/a/bas/econth/y2019i1p102-121.html
  4. SWOT analysis of the Bulgarian beekeeping. ISBN 978-619-207-039-7.
  5. Lyubenov, L. (2018). SWOT Analysis of the Bulgarian Beekeeping.