# Mabrook Al‐Rakhami

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/mabrook-al-rakhami/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,673 |
| Field | IoT and Edge/Fog Computing |
| h-index | 35 |
| i10-index | 62 |
| Last Known Institution | King Saud University |
| OpenAlex ID | https://openalex.org/A5017023860 |
| ORCID iD | 0000-0001-5343-8370 |
| Works | 85 |

## Researcher papers

- [Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model](https://scholariq.org/papers/automatic-detection-of-citrus-fruit-and-leaves-diseases-using-deep-neural/)
- [CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings](https://scholariq.org/papers/cardioxnet-a-novel-lightweight-deep-learning-framework-for-cardiovascular/)
- [Intelligent task prediction and computation offloading based on mobile-edge cloud computing](https://scholariq.org/papers/intelligent-task-prediction-and-computation-offloading-based-on-mobile-edge/)
- [Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter](https://scholariq.org/papers/lies-kill-facts-save-detecting-covid-19-misinformation-in-twitter/)
- [Recent Advances in Deep Learning Techniques for Face Recognition](https://scholariq.org/papers/recent-advances-in-deep-learning-techniques-for-face-recognition/)
- [Sybil Defense Techniques in Online Social Networks: A Survey](https://scholariq.org/papers/sybil-defense-techniques-in-online-social-networks-a-survey/)
- [A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management](https://scholariq.org/papers/a-blockchain-based-trust-model-for-the-internet-of-things-supply-chain/)
- [Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics](https://scholariq.org/papers/machine-learning-based-mathematical-modelling-for-prediction-of-social-media/)
- [Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review](https://scholariq.org/papers/detection-and-prediction-of-diabetes-using-data-mining-a-comprehensive-review/)
- [On the Security and Privacy Challenges of Virtual Assistants](https://scholariq.org/papers/on-the-security-and-privacy-challenges-of-virtual-assistants/)

## Researcher topics

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

## Researcher university

- [King Saud University](https://scholariq.org/institutions/king-saud-university/)

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