Innovative Research Award
Wael Badawy — School of Artifiicial Intelligence, Egypt
Wael Badawy is a researcher affiliated with the School of Artifiicial Intelligence in Egypt, with a documented research profile associated with crypto-related subject areas. The supplied Scopus information records 265 documents, 2,348 citations, and an h-index of 21. These indicators provide a bibliometric context for evaluating the researcher’s scholarly profile. [1]
Abstract
This academic recognition profile presents Wael Badawy in connection with the Innovative Research Award and the International Research Data Analysis Excellence & Awards. His supplied bibliometric record includes 265 documents, 2,348 citations, and an h-index of 21. The profile emphasizes documented scholarly activity and research relevance without extending beyond the supplied evidence. [1]
Keywords
- Innovative Research
- Crypto
- Research Data Analysis
- Artificial Intelligence
- Bibliometrics
- Scholarly Impact
- Research Excellence
Introduction
Wael Badawy’s research profile is presented within an academic recognition framework emphasizing innovation, data analysis, and technology-oriented scholarship. His listed affiliation is the School of Artifiicial Intelligence in Egypt, while the supplied subject classification is Crypto. Bibliometric information provides context for assessing research activity and scholarly visibility across documented academic outputs. [1]
Research Profile
The supplied researcher profile identifies Wael Badawy with the School of Artifiicial Intelligence and associates his scholarly activity with Crypto. The reported Scopus record contains 265 documents, 2,348 citations, and an h-index of 21. ORCID provides an additional persistent identifier supporting researcher identity and scholarly record discoverability across systems. [2]
Research Contributions
The documented research contribution profile can be considered through publication volume, citation activity, and subject specialization. With 265 listed documents and 2,348 citations, the supplied record indicates sustained scholarly output and measurable academic visibility. The Crypto subject area further identifies a specialized research direction within technology-oriented academic investigation and analysis. [1]
Publications
The supplied Scopus profile reports 265 documents associated with Wael Badawy. This figure represents the documented publication output available through the provided author record rather than a manually curated bibliography. Individual publication titles, journal details, and verified DOI identifiers should be consulted directly through authoritative scholarly databases before being cited as specific works. [3]
Research Impact
Research impact in this profile is represented primarily through supplied bibliometric indicators. The reported 2,348 citations and h-index of 21 provide quantitative measures of scholarly visibility and citation influence within indexed research literature. Such indicators should be interpreted alongside publication quality, field norms, collaboration patterns, and individual research contributions when assessing overall academic impact. [2]
Award Suitability
The supplied profile presents several factors relevant to consideration for an Innovative Research Award, including a substantial documented publication record, citation activity, and a defined technology-related subject area. Final eligibility should remain subject to the official award criteria, nomination requirements, evidence submitted by the researcher, and independent evaluation by the responsible award committee. [1]
Conclusion
Wael Badawy’s supplied academic profile combines an established publication record with measurable citation activity and specialization in Crypto. The reported Scopus indicators provide a concise quantitative foundation for recognition, while ORCID supports researcher identification. Consideration for the Innovative Research Award should ultimately depend on verified evidence, scholarly merit, and applicable evaluation criteria. [3]
External Links
References
- Criminal confrontation of cryptocurrency and artificial intelligence crimes: an analytical study in Egyptian and comparative legislation.
https://link.springer.com/article/10.1007/s43681-026-01258-1
- Hierarchical adaptive structured mesh for video codec: a structured and systematic survey of geometry-aware motion modeling and hybrid neural extensions.
https://link.springer.com/article/10.1007/s11042-026-21556-4
- Automatic License Plate Recognition (ALPR): A State-of-the-Art Review.
https://www.researchgate.net/publication/260665254_Automatic_License_Plate_Recognition_ALPR_A_State-of-the-Art_Review