Amerah Alabrah

1.4k total citations
55 papers, 706 citations indexed

About

Amerah Alabrah is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Amerah Alabrah has authored 55 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Information Systems and 19 papers in Computer Networks and Communications. Recurrent topics in Amerah Alabrah's work include Network Security and Intrusion Detection (8 papers), Advanced Authentication Protocols Security (7 papers) and User Authentication and Security Systems (7 papers). Amerah Alabrah is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Advanced Authentication Protocols Security (7 papers) and User Authentication and Security Systems (7 papers). Amerah Alabrah collaborates with scholars based in Saudi Arabia, Pakistan and China. Amerah Alabrah's co-authors include Talha Meraj, Hafiz Tayyab Rauf, Farhan Amin, Hussain AlSalman, Syed Sajid Ullah, Taha Alfakih, Abdu Salam, Rakesh Ranjan Kumar, Zubair Ashraf and Rabbia Mahum and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Amerah Alabrah

51 papers receiving 666 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amerah Alabrah Saudi Arabia 14 294 161 128 115 110 55 706
Hani Alshahrani Saudi Arabia 16 242 0.8× 185 1.1× 151 1.2× 109 0.9× 98 0.9× 65 746
Mana Saleh Al Reshan Saudi Arabia 16 226 0.8× 132 0.8× 118 0.9× 119 1.0× 98 0.9× 64 702
Ester Zumpano Italy 19 558 1.9× 210 1.3× 131 1.0× 187 1.6× 130 1.2× 119 1.0k
Jimmy Singla India 14 274 0.9× 103 0.6× 227 1.8× 83 0.7× 84 0.8× 63 809
Ranjit Panigrahi India 12 336 1.1× 223 1.4× 83 0.6× 53 0.5× 86 0.8× 27 732
Bader Alouffi Saudi Arabia 14 253 0.9× 257 1.6× 303 2.4× 81 0.7× 58 0.5× 30 779
Pundru Chandra Shaker Reddy India 23 421 1.4× 158 1.0× 84 0.7× 123 1.1× 113 1.0× 93 1.1k
B. Surendiran India 13 307 1.0× 147 0.9× 114 0.9× 71 0.6× 117 1.1× 54 540
Sultan H. Almotiri Saudi Arabia 16 257 0.9× 236 1.5× 173 1.4× 130 1.1× 241 2.2× 36 1.1k
Durgesh Srivastava India 10 203 0.7× 125 0.8× 91 0.7× 39 0.3× 81 0.7× 42 532

Countries citing papers authored by Amerah Alabrah

Since Specialization
Citations

This map shows the geographic impact of Amerah Alabrah'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 Amerah Alabrah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amerah Alabrah more than expected).

Fields of papers citing papers by Amerah Alabrah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amerah Alabrah. 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 Amerah Alabrah. The network helps show where Amerah Alabrah may publish in the future.

Co-authorship network of co-authors of Amerah Alabrah

This figure shows the co-authorship network connecting the top 25 collaborators of Amerah Alabrah. A scholar is included among the top collaborators of Amerah Alabrah 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 Amerah Alabrah. Amerah Alabrah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kamal, Mian Muhammad, et al.. (2025). Optimizing Secure Multi-User ISAC Systems With STAR-RIS: A Deep Reinforcement Learning Approach for 6G Networks. IEEE Access. 13. 31472–31484. 7 indexed citations
2.
Abbasi, Rashid, Farhan Amin, Amerah Alabrah, et al.. (2025). Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images. Scientific Reports. 15(1). 24647–24647. 2 indexed citations
3.
AlSalman, Hussain, Taha Alfakih, Mabrook Al‐Rakhami, Mohammad Mehedi Hassan, & Amerah Alabrah. (2024). A Genetic Algorithm-Based Optimized Transfer Learning Approach for Breast Cancer Diagnosis. Computer Modeling in Engineering & Sciences. 141(3). 2575–2608.
4.
Ali, Arshad, et al.. (2024). Convolutional Neural Networks: A Comprehensive Evaluation and Benchmarking of Pooling Layer Variants. Symmetry. 16(11). 1516–1516. 1 indexed citations
5.
Suresh, H. N., et al.. (2024). Machine learning based intrusion detection framework for detecting security attacks in internet of things. Scientific Reports. 14(1). 30275–30275. 5 indexed citations
6.
Alabrah, Amerah, et al.. (2023). Decision Making of Agile Patterns in Offshore Software Development Outsourcing: A Fuzzy Logic-Based Analysis. Axioms. 12(3). 307–307. 4 indexed citations
7.
Alabrah, Amerah, et al.. (2023). Attention-Enriched Mini-BERT Fake News Analyzer Using the Arabic Language. Future Internet. 15(2). 44–44. 13 indexed citations
8.
Alabrah, Amerah, et al.. (2023). Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews. Information. 14(1). 34–34. 4 indexed citations
9.
Khalid, Arslan, Arif Mehmood, Amerah Alabrah, et al.. (2023). Breast Cancer Detection and Prevention Using Machine Learning. Diagnostics. 13(19). 3113–3113. 54 indexed citations
10.
11.
Alabrah, Amerah. (2023). A Novel Neural Network Architecture Using Automated Correlated Feature Layer to Detect Android Malware Applications. Mathematics. 11(20). 4242–4242. 3 indexed citations
12.
Alabrah, Amerah. (2023). An Efficient NIDPS with Improved Salp Swarm Feature Optimization Method. Applied Sciences. 13(12). 7002–7002. 6 indexed citations
13.
Meraj, Talha, Muhammad Sharif, Mudassar Raza, et al.. (2023). Computer vision-based plants phenotyping: A comprehensive survey. iScience. 27(1). 108709–108709. 10 indexed citations
14.
Alabrah, Amerah, et al.. (2022). Discourse analysis based credibility checks to online reviews using deep learning based discourse markers. Computer Speech & Language. 78. 101450–101450. 3 indexed citations
15.
Ahmad, Mubashir, Syed Furqan Qadri, Salman Qadri, et al.. (2022). A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis. Computational Intelligence and Neuroscience. 2022. 1–16. 45 indexed citations
16.
Hussain, Dostdar, et al.. (2022). A Simple and Efficient Deep Learning-Based Framework for Automatic Fruit Recognition. Computational Intelligence and Neuroscience. 2022. 1–8. 23 indexed citations
17.
Jan, Naeem, et al.. (2022). An Innovative Approach to Investigate the Effects of Artificial Intelligence Based on Complex Bipolar Picture Fuzzy Information. Scientific Programming. 2022. 1–20. 13 indexed citations
18.
Jan, Naeem, et al.. (2022). Cyber-Security and Social Media Risks Assessment by Using the Novel Concepts of Complex Cubic T-Spherical Fuzzy Information. Scientific Programming. 2022. 1–31. 4 indexed citations
19.
Alharbi, Abdullah, Majid Alshammari, Amerah Alabrah, et al.. (2022). A Novel text2IMG Mechanism of Credit Card Fraud Detection: A Deep Learning Approach. Electronics. 11(5). 756–756. 49 indexed citations
20.
Alabrah, Amerah & Mostafa Bassiouni. (2015). A tree-based authentication scheme for a cloud toll/traffic RFID system. Journal of International Crisis and Risk Communication Research. 2. 108–111. 2 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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