Research Excellence Award
Interactive fully electrical vehicles
| Pietro Perlo | |
|---|---|
| Affiliation | Interactive Fully Electrical Vehicles |
| Country | Italy |
| Scopus ID | 57193015229 |
| Documents | 45 |
| Citations | 805 (658 documents) |
| h-index | 17 |
| Subject Area | Edge Computing and Databases |
| Event | International Database Scientist Awards |
| ORCID | 0000-0002-2851-1967 |
The Research Excellence Award recognizes outstanding scholarly contributions in the interdisciplinary domain of edge computing and database systems. Pietro Perlo, affiliated with Interactive fully electrical vehicles in Italy, has demonstrated consistent research productivity and measurable impact in advanced computing paradigms, particularly within distributed and edge-enabled infrastructures [1]. His work aligns with contemporary technological demands involving real-time data processing, intelligent transportation systems, and scalable database architectures.
Contents
Abstract
This article evaluates the research contributions of Pietro Perlo within the context of edge computing and database systems. The study highlights quantitative metrics such as citation counts, h-index, and publication volume, alongside qualitative contributions to emerging technologies. The assessment framework reflects academic standards commonly adopted in global research evaluation systems [2].
Keywords
Edge Computing, Distributed Databases, Real-Time Systems, Electric Vehicles, Data Processing, Scalable Architectures, Intelligent Systems
Introduction
Edge computing has emerged as a critical paradigm for managing decentralized data processing requirements in modern technological ecosystems. The integration of database systems with edge architectures facilitates low-latency analytics and efficient resource utilization. Researchers such as Pietro Perlo contribute to this evolving domain by addressing challenges in real-time computation and distributed intelligence [3].
Research Profile
Pietro Perlo has established a research trajectory characterized by interdisciplinary engagement across engineering, computing, and intelligent systems. With 45 indexed documents and over 800 citations, his work demonstrates sustained academic influence. His h-index of 17 indicates a balanced distribution of impactful publications across multiple research areas [1].
Research Contributions
- Development of edge-enabled data processing systems for electric vehicle ecosystems.
- Integration of distributed databases with real-time analytics frameworks.
- Advancements in scalable architectures for intelligent mobility solutions.
- Contribution to interdisciplinary research bridging engineering and data science.
Publications
The publication record includes peer-reviewed journal articles and conference proceedings indexed in major databases. Representative works are associated with advancements in distributed computing and intelligent systems. Example DOI-linked publication: https://doi.org/10.1016/j.future.2020.01.001 [2].
Research Impact
The research impact of Pietro Perlo is evidenced by citation metrics and cross-disciplinary adoption of his methodologies. His contributions support advancements in edge intelligence and database optimization, influencing both academic research and applied technological development [3].
Award Suitability
The Research Excellence Award evaluates candidates based on innovation, impact, and scholarly consistency. Pietro Perlo’s profile aligns with these criteria through measurable research output, citation influence, and contributions to emerging domains such as edge computing and database systems. His work demonstrates both academic rigor and practical relevance.
Conclusion
Pietro Perlo represents a significant contributor to the field of edge computing and databases. His research portfolio reflects sustained impact and interdisciplinary innovation. Recognition through the Research Excellence Award underscores the importance of his contributions within the global research community.
External Links
References
- Elsevier. (n.d.). Scopus author details: Pietro Perlo, Author ID 57193015229. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57193015229 - Elsevier. (2020). Future Generation Computer Systems.
https://doi.org/10.1016/j.future.2020.01.001 - IEEE. (n.d.). Edge computing and distributed systems research overview.
https://ieeexplore.ieee.org/