Innovative Research Award
Carmela Rita Balistreri
University of Palermo, BIND Department, Italy
The Innovative Research Award profile recognizes the scholarly contributions of Carmela Rita Balistreri, a researcher affiliated with the University of Palermo, BIND Department, Italy. Her academic portfolio demonstrates sustained engagement in interdisciplinary scientific investigations, publication activity, citation impact, and international research visibility. Through a substantial body of peer-reviewed literature and recognized scholarly influence, her work has contributed to the advancement of contemporary scientific knowledge and data-driven research methodologies.[1][2]
Abstract
This article presents an academic recognition profile for Carmela Rita Balistreri, highlighting research productivity, scholarly visibility, citation performance, and contributions to scientific advancement. The profile summarizes institutional affiliation, publication metrics, research influence, and relevance to recognition within the framework of the International AI Data Scientist Awards. Available bibliometric indicators suggest a consistent and impactful scholarly presence across internationally indexed academic platforms.[1][3]
Keywords
Artificial Intelligence, Research Excellence, Scientific Publications, Citation Impact, Academic Recognition, Data Science, Scholarly Metrics, Bibliometrics, International Awards, Research Innovation.
Introduction
Academic awards frequently recognize individuals whose scholarly achievements demonstrate measurable impact through publications, citations, interdisciplinary collaborations, and contributions to scientific progress. Carmela Rita Balistreri’s research record, supported by extensive indexing and citation activity, reflects sustained academic engagement and visibility within the international research community. Such indicators are commonly utilized in evaluating scientific influence and professional recognition.[1][2]
Research Profile
Carmela Rita Balistreri is affiliated with the University of Palermo through the BIND Department. Her scholarly record includes approximately 190 indexed documents and an h-index of 39, reflecting both productivity and citation performance. The cumulative citation count exceeds 5,500 citations, indicating substantial engagement with her published research across multiple scientific domains.[1]
Research visibility is further supported through internationally recognized scholarly identifiers, including Scopus Author ID and ORCID registration, facilitating transparent attribution, discoverability, and academic networking.[1][2]
Research Contributions
The research portfolio attributed to Carmela Rita Balistreri demonstrates contributions to data-driven scientific inquiry, interdisciplinary collaboration, and evidence-based research methodologies. Her scholarly output has been disseminated through peer-reviewed journals, conference proceedings, and collaborative scientific initiatives that have generated measurable academic influence.[3]
Through participation in international research networks and publication activities, her work has supported knowledge exchange and contributed to ongoing developments in emerging scientific and technological disciplines. Such contributions align with the objectives of innovation-oriented academic recognition programs.[4]
Publications
The documented publication record comprises approximately 190 scholarly works indexed within major citation databases. These publications collectively demonstrate sustained research productivity and a continuing commitment to advancing scientific understanding through rigorous investigation and peer-reviewed dissemination.[1]
Selected research outputs have achieved notable citation performance, reflecting their relevance to subsequent academic studies and broader scholarly discourse. Publication impact remains an important indicator of knowledge transfer and scientific influence within the global research ecosystem.[3]
Research Impact
Bibliometric indicators reveal significant research impact through citation accumulation, author visibility, and scholarly engagement. More than 5,527 citations from over 4,433 citing documents demonstrate broad dissemination and utilization of the research contributions associated with this academic profile.[1]
The h-index value of 39 further indicates that a substantial number of publications have achieved meaningful citation recognition, reflecting a balance between productivity and influence. These metrics are commonly referenced in research assessment and academic benchmarking frameworks.[1]
Award Suitability
Based on available scholarly indicators, Carmela Rita Balistreri demonstrates characteristics frequently associated with recipients of research recognition awards, including publication productivity, citation influence, international visibility, and engagement with interdisciplinary scientific initiatives. These factors support consideration within the context of the International AI Data Scientist Awards and similar academic recognition programs.[4][5]
Conclusion
Carmela Rita Balistreri’s academic profile reflects a sustained record of scholarly productivity, measurable research impact, and international visibility. The combination of publication output, citation performance, professional affiliations, and research dissemination activities supports recognition within competitive academic award frameworks. Continued scholarly engagement is expected to further contribute to scientific advancement and interdisciplinary research development.[1][2]
External Links
References
- Elsevier. (n.d.). Scopus Author Details: Carmela Rita Balistreri, Author ID 6602242131. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=6602242131
- ORCID. (n.d.). ORCID Record for Carmela Rita Balistreri.
https://orcid.org/0000-0002-5393-1007
- Balistreri, C.R. et al. (2020). Research contributions in aging and molecular medicine. DOI: https://doi.org/10.1016/j.arr.2020.101089
- Google Scholar. (n.d.). Scholar Citations Profile: Carmela Rita Balistreri.
https://scholar.google.com/citations?user=BCeaAwMAAAAJ&hl=it
- International AI Data Scientist Awards. (n.d.). Award Program Information and Evaluation Framework.
https://aidatascientists.com/