Research Excellence Award
| Riki Hendra Purba | |
|---|---|
| Affiliation | Universitas Pembangunan Nasional Veteran Jakarta |
| Country | Indonesia |
| Scholar ID | nzNQV9kAAAAJ |
| Documents | 54 |
| Citations | 312 |
| h-index | 10 |
| Subject Area | Neural Networks |
| Event | Global Network Awards |
Riki Hendra Purba
Universitas Pembangunan Nasional Veteran Jakarta
Riki Hendra Purba is affiliated with Universitas Pembangunan Nasional Veteran Jakarta, Indonesia. His scholarly activities encompass neural networks, artificial intelligence, intelligent computing, and related computational methodologies. The available publication metrics indicate sustained academic productivity, with peer-reviewed publications, measurable citation impact, and an established h-index reflecting scholarly influence within his research domain.[1][2]
Abstract
The Research Excellence Award article presents an overview of the academic profile of Riki Hendra Purba and summarizes measurable indicators of scholarly activity. His research emphasizes neural networks and intelligent computational systems that support data-driven analysis, machine learning applications, and modern artificial intelligence methodologies. Publication output, citation performance, and scholarly engagement collectively indicate sustained contributions to computational research and interdisciplinary innovation.[1][3]
Keywords
- Neural Networks
- Artificial Intelligence
- Machine Learning
- Computational Intelligence
- Deep Learning
- Data Analytics
- Research Excellence Award
- Global Network Awards
Introduction
Neural network research has become an essential component of modern computer science because it enables predictive modeling, pattern recognition, intelligent automation, and adaptive decision-making across numerous scientific disciplines. Researchers working within this field contribute to advances in healthcare, engineering, transportation, finance, and digital technologies. Academic recognition programs frequently evaluate measurable research productivity together with scientific quality, collaboration, and community impact.[3]
Research Profile
Riki Hendra Purba has developed a research profile centered on neural networks and intelligent computing. His academic record demonstrates continuous publication activity supported by citation growth and scholarly visibility. Research metrics currently indicate 54 indexed publications, 312 citations, and an h-index of 10, reflecting sustained academic engagement and research dissemination within relevant scientific communities.[1]
Research Contributions
The research contributions associated with this academic profile include investigations into neural network methodologies, intelligent algorithms, computational optimization, and practical applications of artificial intelligence. These contributions support continued progress in predictive modeling, intelligent information processing, and interdisciplinary computational research while encouraging collaboration between engineering, computer science, and applied technology domains.[2]
Publications
The publication portfolio demonstrates continuous scholarly activity across peer-reviewed journals and conference proceedings. Research outputs primarily address neural networks, artificial intelligence, computational intelligence, and related engineering applications. Individual publications include persistent identifiers where available through DOI registration, facilitating long-term accessibility and citation tracking.[4]
- Peer-reviewed journal articles.
- Conference proceedings.
- Artificial intelligence applications.
- Neural network methodologies.
Research Impact
Citation indicators, publication continuity, and interdisciplinary relevance collectively demonstrate meaningful research visibility. Citation-based measures provide one quantitative indicator of academic influence, while collaboration, knowledge dissemination, and methodological advancement further contribute to broader scientific impact. Such indicators are frequently considered within international research evaluation frameworks.[1][3]
Award Suitability
Based on the documented research profile, publication record, citation metrics, and subject specialization, the academic achievements of Riki Hendra Purba align with common evaluation criteria employed by international research recognition initiatives such as the Global Network Awards. Consideration for academic awards typically incorporates publication quality, research originality, scholarly influence, interdisciplinary relevance, and contributions to scientific advancement.[1][2]
Conclusion
Riki Hendra Purba represents an active researcher whose scholarly work contributes to the continuing development of neural networks and intelligent computational systems. The combination of publication productivity, citation performance, and interdisciplinary research activity illustrates a sustained commitment to scientific advancement and knowledge dissemination. Ongoing research is expected to further strengthen the impact of computational intelligence within both academic and applied environments.[2]
External Links
References
- Google Scholar. (n.d.). Research profile of Riki Hendra Purba.
https://scholar.google.com/citations?user=nzNQV9kAAAAJ&hl=en - Erosive wear characteristics of high-chromium based multi-component white cast irons.
https://www.sciencedirect.com/science/article/pii/S0301679X21001304 - Microstructural evaluation and high-temperature erosion characteristics of high chromium cast irons.
https://www.sciencedirect.com/science/article/abs/pii/S0043164819300742 - Effect of boron addition on three-body abrasive wear characteristics of high chromium based multi-component white cast iron.
https://www.sciencedirect.com/science/article/abs/pii/S0254058421010154