Amira Rezk

413 total citations
25 papers, 217 citations indexed

About

Amira Rezk is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Amira Rezk has authored 25 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Amira Rezk's work include Artificial Intelligence in Healthcare (6 papers), Network Security and Intrusion Detection (5 papers) and Customer churn and segmentation (3 papers). Amira Rezk is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), Network Security and Intrusion Detection (5 papers) and Customer churn and segmentation (3 papers). Amira Rezk collaborates with scholars based in Egypt, United Kingdom and Spain. Amira Rezk's co-authors include Sherif Barakat, Ahmed Saleh, Shaker El–Sappagh, Mohammed Elmogy, Louai Alarabi, Tamer Abuhmed, Hazem M. El‐Bakry, Noha A. Hikal, Khaled Salah and Nora El-Rashidy and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Amira Rezk

22 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amira Rezk Egypt 10 91 56 37 25 20 25 217
Anitha S. Pillai India 9 81 0.9× 35 0.6× 67 1.8× 19 0.8× 26 1.3× 45 230
Ritika Mehra India 7 67 0.7× 62 1.1× 25 0.7× 11 0.4× 21 1.1× 22 231
V. Ilango India 6 136 1.5× 110 2.0× 33 0.9× 32 1.3× 24 1.2× 31 281
Vivek Kumar Italy 10 128 1.4× 19 0.3× 45 1.2× 53 2.1× 16 0.8× 26 277
Noreddine Gherabi Morocco 9 80 0.9× 39 0.7× 36 1.0× 5 0.2× 22 1.1× 48 177
B. Nithya India 5 135 1.5× 101 1.8× 29 0.8× 31 1.2× 14 0.7× 13 247
Amr Mohamed El Koshiry Saudi Arabia 6 98 1.1× 13 0.2× 53 1.4× 42 1.7× 13 0.7× 13 261
Krishna Mridha India 8 113 1.2× 40 0.7× 11 0.3× 38 1.5× 14 0.7× 29 282
Anas W. Abulfaraj Saudi Arabia 10 75 0.8× 31 0.6× 35 0.9× 13 0.5× 47 2.4× 26 215
Marco Alfonse Egypt 10 201 2.2× 22 0.4× 66 1.8× 40 1.6× 14 0.7× 46 345

Countries citing papers authored by Amira Rezk

Since Specialization
Citations

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

Fields of papers citing papers by Amira Rezk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amira Rezk

This figure shows the co-authorship network connecting the top 25 collaborators of Amira Rezk. A scholar is included among the top collaborators of Amira Rezk 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 Amira Rezk. Amira Rezk 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.
Salah, Khaled, Sherif Barakat, & Amira Rezk. (2025). An effective SQL injection detection model using LSTM for imbalanced datasets. Computers & Security. 153. 104391–104391. 1 indexed citations
3.
Barakat, Sherif, et al.. (2025). Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach. Expert Systems with Applications. 290. 128465–128465. 1 indexed citations
4.
Barakat, Sherif, et al.. (2024). Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches. Journal of Retailing and Consumer Services. 79. 103865–103865. 22 indexed citations
5.
Barakat, Sherif, et al.. (2023). A generalized ensemble approach based on transfer learning for Braille character recognition. Information Processing & Management. 61(1). 103545–103545. 10 indexed citations
6.
Rezk, Amira, et al.. (2023). Enhanced Optimized Classification Model of Chronic Kidney Disease. International Journal of Advanced Computer Science and Applications. 14(2). 2 indexed citations
7.
Barakat, Sherif, et al.. (2022). A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks. Scientific Reports. 12(1). 16271–16271. 15 indexed citations
8.
Barakat, Sherif, et al.. (2022). An Effective Ensemble-based Framework for Outlier Detection in Evolving Data Streams. International Journal of Advanced Computer Science and Applications. 13(11). 1 indexed citations
9.
Barakat, Sherif, et al.. (2022). Towards a deep learning-based outlier detection approach in the context of streaming data. Journal Of Big Data. 9(1). 9 indexed citations
10.
Barakat, Sherif, et al.. (2021). Integrated Document-based Electronic Health Records Persistence Framework. International Journal of Advanced Computer Science and Applications. 12(10). 2 indexed citations
11.
Barakat, Sherif, et al.. (2021). A Transfer Learning-Enabled Optimized Extreme Deep Learning Paradigm for Diagnosis of COVID-19. Computers, materials & continua/Computers, materials & continua (Print). 70(1). 1381–1399. 3 indexed citations
12.
Rezk, Amira, et al.. (2021). Alzheimer’s Disease Diagnosis Based on a Semantic Rule-Based Modeling and Reasoning Approach. Computers, materials & continua/Computers, materials & continua (Print). 69(3). 3531–3548. 9 indexed citations
13.
Rezk, Amira, et al.. (2021). Early Prediction of Chronic Kidney Disease Using Deep Belief Network. IEEE Access. 9. 135542–135549. 37 indexed citations
14.
Barakat, Sherif, et al.. (2020). Standardized electronic health record data modeling and persistence: A comparative review. Journal of Biomedical Informatics. 114. 103670–103670. 39 indexed citations
15.
Rezk, Amira, et al.. (2020). A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer’s Disease Diagnosis. IEEE Access. 9. 31350–31372. 16 indexed citations
16.
Rezk, Amira, et al.. (2018). Building Unstructured Crime Data Prediction Model (Practical Approach). 4(8). 1 indexed citations
17.
Rezk, Amira, et al.. (2017). THE IMPACT OF CYBER CRIME ON E-COMMERCE. 17(3). 85–96. 2 indexed citations
18.
Rezk, Amira, et al.. (2015). Suggested Marketing Strategy Using Apriori and FP-Growth Algorithms in retail sales in Egypt. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. 14(11). 6190–6200. 1 indexed citations
19.
Rezk, Amira, et al.. (2012). Database Security Protection based on a New Mechanism. International Journal of Computer Applications. 49(19). 32–38. 6 indexed citations
20.
Rezk, Amira, et al.. (2011). Minimize the False Positive Rate in a Database Intrusion Detection System. International Journal of Computer Science and Information Technology. 3(5). 29–38. 4 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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