Amal Al‐Rasheed

1.1k total citations
60 papers, 572 citations indexed

About

Amal Al‐Rasheed is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amal Al‐Rasheed has authored 60 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amal Al‐Rasheed's work include AI in cancer detection (9 papers), Advanced Neural Network Applications (6 papers) and Cutaneous Melanoma Detection and Management (5 papers). Amal Al‐Rasheed is often cited by papers focused on AI in cancer detection (9 papers), Advanced Neural Network Applications (6 papers) and Cutaneous Melanoma Detection and Management (5 papers). Amal Al‐Rasheed collaborates with scholars based in Saudi Arabia, India and Tunisia. Amal Al‐Rasheed's co-authors include Muhammad Amir Khan, Shaha Al‐Otaibi, Muhammad Mateen Yaqoob, Amel Ksibi, Manel Ayadi, Romany F. Mansour, Gyanendra Prasad Joshi, Woong Cho, Ben Othman Soufiene and Eunmok Yang and has published in prestigious journals such as Scientific Reports, IEEE Access and BMC Bioinformatics.

In The Last Decade

Amal Al‐Rasheed

52 papers receiving 539 citations

Peers

Amal Al‐Rasheed

CNC

CVPR

EEE

Syed Thouheed Ahmed India

Allah Ditta Pakistan

Adel Sulaiman Saudi Arabia

Abdulaziz S. Almazyad Saudi Arabia

Amel Ksibi Saudi Arabia

A. Harshavardhan India

Sara A. Althubiti Saudi Arabia

Sunday Adeola Ajagbe Nigeria

Sumit Kumar India

Areej Alasiry Saudi Arabia

Syed Thouheed Ahmed India

Amal Al‐Rasheed

194 ×1.0

95 ×0.7

CNC

85 ×0.9

115 ×1.4

CVPR

44 ×0.6

EEE

Citations per year, relative to Amal Al‐Rasheed Amal Al‐Rasheed (= 1×) peers Syed Thouheed Ahmed

Countries citing papers authored by Amal Al‐Rasheed

Since Specialization

Citations

This map shows the geographic impact of Amal Al‐Rasheed's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amal Al‐Rasheed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amal Al‐Rasheed more than expected).

Fields of papers citing papers by Amal Al‐Rasheed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amal Al‐Rasheed. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amal Al‐Rasheed. The network helps show where Amal Al‐Rasheed may publish in the future.

Co-authorship network of co-authors of Amal Al‐Rasheed

This figure shows the co-authorship network connecting the top 25 collaborators of Amal Al‐Rasheed. A scholar is included among the top collaborators of Amal Al‐Rasheed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amal Al‐Rasheed. Amal Al‐Rasheed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dhanaraj, Rajesh Kumar, et al.. (2025). Attention-driven hybrid deep learning and SVM model for early Alzheimer’s diagnosis using neuroimaging fusion. BMC Medical Informatics and Decision Making. 25(1). 219–219.

Al‐Rasheed, Amal, et al.. (2025). Machine Learning and Device’s Neighborhood-Enabled Fusion Algorithm for the Internet of Things. IEEE Transactions on Consumer Electronics. 71(1). 467–475.

Singh, Karan, et al.. (2025). Trust-driven approach to enhance early forest fire detection using machine learning. Scientific Reports. 15(1). 14480–14480.

Al‐Rasheed, Amal, et al.. (2025). Classifying kidney disease using a dense layers deep learning model. SLAS TECHNOLOGY. 33. 100324–100324.

Khan, Rahim, et al.. (2024). Device-enabled neighborhood-slot allocation for the edge-oriented Internet of Things. Frontiers in Computer Science. 6.

Nemade, Bhushankumar, et al.. (2024). IoT-based automated system for water-related disease prediction. Scientific Reports. 14(1). 29483–29483. 5 indexed citations

Haq, Inayatul, et al.. (2024). YOLO and residual network for colorectal cancer cell detection and counting. Heliyon. 10(2). e24403–e24403. 24 indexed citations

Logeshwaran, J., et al.. (2024). Improving crop production using an agro-deep learning framework in precision agriculture. BMC Bioinformatics. 25(1). 341–341. 21 indexed citations

Minallah, Nasru, et al.. (2024). Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data. Engineering Reports. 7(1). 2 indexed citations

10.

Rafique, Adnan Ahmed, Amal Al‐Rasheed, Amel Ksibi, et al.. (2023). Smart Traffic Monitoring Through Pyramid Pooling Vehicle Detection and Filter-Based Tracking on Aerial Images. IEEE Access. 11. 2993–3007. 31 indexed citations

11.

Maddikunta, Praveen Kumar Reddy, et al.. (2023). An Adaptive DeepLabv3+ for Semantic Segmentation of Aerial Images Using Improved Golden Eagle Optimization Algorithm. IEEE Access. 11. 106688–106705. 9 indexed citations

12.

Ali, Muhammad Danish, et al.. (2023). Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks. Diagnostics. 13(13). 2242–2242. 41 indexed citations

13.

Yaqoob, Muhammad Mateen, et al.. (2023). Hybrid Classifier-Based Federated Learning in Health Service Providers for Cardiovascular Disease Prediction. Applied Sciences. 13(3). 1911–1911. 50 indexed citations

14.

Alhalabi, Wadee, Amal Al‐Rasheed, Hariprasath Manoharan, et al.. (2023). Distinctive Measurement Scheme for Security and Privacy in Internet of Things Applications Using Machine Learning Algorithms. Electronics. 12(3). 747–747. 11 indexed citations

15.

Mohammad, Fida, Mukhtaj Khan, Safdar Nawaz Khan Marwat, et al.. (2023). Text Augmentation-Based Model for Emotion Recognition Using Transformers. Computers, materials & continua/Computers, materials & continua (Print). 76(3). 3523–3547. 7 indexed citations

16.

Mathivanan, Sandeep Kumar, et al.. (2023). Multimodal hybrid convolutional neural network based brain tumor grade classification. BMC Bioinformatics. 24(1). 382–382. 13 indexed citations

17.

Ahmad, Zulfiqar, et al.. (2023). Reliable Resource Allocation and Management for IoT Transportation Using Fog Computing. Electronics. 12(6). 1452–1452. 22 indexed citations

18.

Ayadi, Manel, Amel Ksibi, Amal Al‐Rasheed, & Ben Othman Soufiene. (2022). COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images. Healthcare. 10(10). 2072–2072. 10 indexed citations

19.

Al‐Otaibi, Shaha, Amal Al‐Rasheed, Romany F. Mansour, et al.. (2021). Hybridization of Metaheuristic Algorithm for Dynamic Cluster-Based Routing Protocol in Wireless Sensor Networksx. IEEE Access. 9. 83751–83761. 65 indexed citations

20.

Al‐Rasheed, Amal & Jawad Berri. (2016). Effective reuse and sharing of best teaching practices. Computer Applications in Engineering Education. 25(2). 163–178. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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