Unclaimed Scholar Profile
Are you Sherif Sakr? This profile has been curated from verified academic registries. Claim your profile to edit affiliations, manage works, and access your dashboard.
Verified ScholarVerified at Mansoura UniversityASIDASID-4644-5529-6168 orcid.org/0000-0002-2503-523X
Sherif Sakr
Mansoura University•Egypt
Faculty researcher at Mansoura University (EG), specializing in Agricultural, Environmental & Life Sciences. [Discipline: Agricultural, Environmental & Life Sciences] [Scholar Type: Journal Research Scientist] [Career Tier: Distinguished Scholar] [Region: North Africa]
#Advanced Database Systems and Queries#Cloud Computing and Resource Management#Big Data Technologies and Applications#Semantic Web and Ontologies
Scholarly Profiles: Google Scholar
Citation Indices
Standard Scientometrics| All | Since 2021 | |
|---|---|---|
| Citations | 6,855 | 3,290 |
| h-index | 38 | 29 |
| i10-index | 116 | 81 |
Annual Citation Growth
Verified Citations / Year0
2020329
2021+40%461
2022+28%592
2023+33%790
2024-8%724
2025-45%395
2026Scholarship Distribution & Proportions259 Articles • 0 Books & Monographs • 0 Applied Assignments
Continental Provenance:82% African Regional Citations (5,621) • 18% Global Research Impact (1,234)
259 Indexed WorksAuthentic Data
Co-Authors & Academic Collaborators
No verified co-authors registered on AfriJournal Index yet.
Browse African Scholars →Scientific Bibliography Ingestion Notice
AfriJournal Index synchronizes authentic African citations and scholarship from Crossref, OpenAlex, and verified institutional repositories. Due to external indexing latency, some historical works may not yet be ingested in this snapshot. If you are this scholar, claim this profile to link your ORCID and verify your complete bibliography.
Articles & Books (259)
A Survey of Large Scale Data Management Approaches in Cloud Environments
Published in IEEE Communications Surveys & Tutorials•2011
DOI: 10.1109/surv.2011.032211.00087 Verified Peer-Reviewed
Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project
Published in PLoS ONE•2017
DOI: 10.1371/journal.pone.0179805 Verified Peer-Reviewed
On the interpretability of machine learning-based model for predicting hypertension
Published in BMC Medical Informatics and Decision Making•2019
DOI: 10.1186/s12911-019-0874-0 Verified Peer-Reviewed
Automated Machine Learning: State-of-The-Art and Open Challenges
Published in arXiv (Cornell University)•2019
DOI: 10.48550/arxiv.1906.02287 Verified Peer-Reviewed
Cardiorespiratory Fitness and Cardiovascular Disease Prevention: an Update
Published in Current Atherosclerosis Reports•2018
DOI: 10.1007/s11883-018-0711-4 Verified Peer-Reviewed
Showing 1 – 5 of 259 publications
1 / 52