Innovative Research Award
Ruthber Rodriguez Serrezuela
Corporación Universitaria del Huila,
| Ruthber Rodriguez Serrezuela |
| Affiliation |
Corporación Universitaria del Huila |
| Country |
Colombia |
| Scopus ID |
56902652100 |
| Documents |
54 |
| Citations |
378 |
| h-index |
11 |
| Subject Area |
Machine Learning on Databases |
| Event |
International Database Scientist Awards |
| ORCID |
0000-0002-0405-0692 |
Ruthber Rodriguez Serrezuela is a researcher affiliated with Corporación Universitaria del Huila, Colombia, whose scholarly profile includes research related to machine learning on databases. His documented Scopus profile reports 54 documents, 378 citations, and an h-index of 11. The Innovative Research Award recognizes research contributions that demonstrate methodological development, scientific relevance, and potential value to a defined research field. In the context of database science, machine learning approaches can support data analysis, prediction, classification, optimization, and the development of intelligent data-management systems. The present profile is considered in relation to these broad scholarly dimensions.
Abstract
Ruthber Rodriguez Serrezuela is a Colombian researcher associated with Corporación Universitaria del Huila. His documented research profile is connected with machine learning on databases, an interdisciplinary area combining computational learning techniques with database technologies and data-intensive applications. According to the supplied Scopus profile information, his scholarly record comprises 54 documents, 378 citations, and an h-index of 11. These indicators provide quantitative evidence of a sustained publication and citation record within the indexed scholarly literature.[1]
Keywords
- Machine Learning
- Databases
- Database Science
- Data Analytics
- Artificial Intelligence
- Data-Driven Research
- Computational Methods
- Research Innovation
Introduction
Machine learning and database technologies have increasingly converged as researchers seek computational methods capable of extracting useful information from large and heterogeneous datasets. Database-oriented machine learning encompasses areas such as predictive analytics, data classification, intelligent querying, optimization, pattern discovery, and the integration of learning algorithms with data-management environments. The field therefore provides an important interface between computer science, information systems, and applied data research.[1]
Research Profile
The supplied bibliographic indicators identify 54 documents and 378 citations, with an h-index of 11. The h-index is a bibliometric measure intended to capture a combination of publication productivity and citation influence; like other quantitative indicators, it should be interpreted alongside publication context, field differences, authorship patterns, and the time period represented by the database record.[2]
| Indicator |
Reported Value |
Interpretation |
| Documents |
54 |
Indexed scholarly documents in the supplied profile |
| Citations |
378 |
Reported citations associated with the profile |
| h-index |
11 |
Combined productivity and citation indicator |
| Research Area |
Machine Learning on Databases |
Primary supplied subject area |
Research Contributions
Research involving machine learning and databases can contribute to the development of computational techniques for managing, processing, interpreting, and learning from structured or semi-structured information. Such work may involve algorithmic development, data preparation, model evaluation, database integration, or application-oriented analytical systems. The subject classification supplied for Rodriguez Serrezuela indicates an emphasis on the intersection between machine learning methods and database-oriented research.
Publications
The supplied Scopus information records 54 documents associated with the researcher profile.[1] This publication record indicates continuing scholarly activity in the indexed literature. Because individual publication titles, journals, publication years, author positions, and DOI identifiers were not supplied as part of the input data, no specific publication or DOI is attributed to the researcher in this article without independent bibliographic verification.
Research Impact
The reported total of 378 citations and an h-index of 11 provide quantitative measures of the visibility and citation activity associated with the indexed research profile.[1] Citation indicators can assist in describing scholarly reach, although they should not be treated as complete measures of research quality, originality, societal value, or practical implementation.
Award Suitability
The Innovative Research Award is aligned with research profiles that demonstrate a sustained scholarly record and relevance to innovative methods or applications. Based on the supplied information, Rodriguez Serrezuela has an indexed record of 54 documents, 378 citations, and an h-index of 11, together with a stated research focus on machine learning on databases.[1]
Conclusion
Ruthber Rodriguez Serrezuela’s supplied research profile reflects scholarly activity at the intersection of machine learning and database science. His documented record of 54 documents, 378 citations, and an h-index of 11 provides a quantitative basis for recognizing an established body of indexed research.[1] His affiliation with Corporación Universitaria del Huila and stated subject area further situate the profile within the field of computational and data-oriented research.
External Links
References
- Elsevier. (n.d.). Scopus author details: Ruthber Rodriguez Serrezuela, Author ID 56902652100. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=56902652100
- Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
https://doi.org/10.1073/pnas.0507655102