# University of Bahrain

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/university-of-bahrain/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 36.7 |
| Citations | 292,106 |
| City | Madīnat ‘Īsá |
| Country | BH |
| Description | University of Bahrain is a research organisation in Madīnat ‘Īsá, BH. OpenAlex records 11,204 works and 292,106 citations for it. 3,407 researchers list it as their most recent affiliation. |
| Homepage | http://www.uob.edu.bh/english/ |
| OpenAlex ID | https://openalex.org/I106663880 |
| Researchers | 3,407 |
| ROR ID | https://ror.org/0317ekv86 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q1707779 |
| Works | 11,204 |

## University papers

Showing 12 of 23.

- [A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010](https://scholariq.org/papers/a-comparative-risk-assessment-of-burden-of-disease-and-injury-attributable-to-67/)
- [A novel SVM+NDA model for classification with an application to face recognition](https://scholariq.org/papers/a-novel-svm-nda-model-for-classification-with-an-application-to-face-recognition/)
- [Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction](https://scholariq.org/papers/deep-clustering-with-a-dynamic-autoencoder-from-reconstruction-towards-centroids/)
- [Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering](https://scholariq.org/papers/rethinking-graph-auto-encoder-models-for-attributed-graph-clustering/)
- [An embedded deep-clustering-based load profiling framework](https://scholariq.org/papers/an-embedded-deep-clustering-based-load-profiling-framework/)
- [Covariance-guided One-Class Support Vector Machine](https://scholariq.org/papers/covariance-guided-one-class-support-vector-machine/)
- [Non-uniform Haar wavelets](https://scholariq.org/papers/non-uniform-haar-wavelets/)
- [Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method](https://scholariq.org/papers/weighted-pseudometric-discriminatory-power-improvement-using-a-bayesian-logistic/)
- [A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information](https://scholariq.org/papers/a-novel-intrusion-detection-system-for-internet-of-healthcare-things-based-on/)
- [Harnessing Deep Learning for Early Breast Cancer Diagnosis: A Review of Datasets, Methods, Challenges, and Future Directions](https://scholariq.org/papers/harnessing-deep-learning-for-early-breast-cancer-diagnosis-a-review-of-datasets/)
- [Sequential Artificial Intelligence Models to Forecast Urban Solid Waste in the City of Sousse, Tunisia](https://scholariq.org/papers/sequential-artificial-intelligence-models-to-forecast-urban-solid-waste-in-the/)
- [Continuous face authentication scheme for mobile devices with tracking and liveness detection](https://scholariq.org/papers/continuous-face-authentication-scheme-for-mobile-devices-with-tracking-and/)

## University researchers

- [Riadh Ksantini](https://scholariq.org/researchers/riadh-ksantini/)
- [Fatema A. Albalooshi](https://scholariq.org/researchers/fatema-a-albalooshi/)

## University top topics

Showing 8 of 24.

- [Islamic Finance and Banking Studies](https://scholariq.org/topics/islamic-finance-and-banking-studies/)
- [ZnO doping and properties](https://scholariq.org/topics/zno-doping-and-properties/)
- [Quantum Information and Cryptography](https://scholariq.org/topics/quantum-information-and-cryptography/)
- [Technology Adoption and User Behaviour](https://scholariq.org/topics/technology-adoption-and-user-behaviour/)
- [Copper-based nanomaterials and applications](https://scholariq.org/topics/copper-based-nanomaterials-and-applications/)
- [Corporate Finance and Governance](https://scholariq.org/topics/corporate-finance-and-governance/)
- [Gas Sensing Nanomaterials and Sensors](https://scholariq.org/topics/gas-sensing-nanomaterials-and-sensors/)
- [Organizational and Employee Performance](https://scholariq.org/topics/organizational-and-employee-performance/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
