Amena Mahmoud

604 total citations
27 papers, 340 citations indexed

About

Amena Mahmoud is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Amena Mahmoud has authored 27 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Amena Mahmoud's work include AI in cancer detection (5 papers), COVID-19 diagnosis using AI (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Amena Mahmoud is often cited by papers focused on AI in cancer detection (5 papers), COVID-19 diagnosis using AI (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Amena Mahmoud collaborates with scholars based in Egypt, Saudi Arabia and India. Amena Mahmoud's co-authors include Mazhar Javed Awan, Rajeev Kumar Gupta, Santosh Kumar Bharti, Prashant Kumar Shukla, Mahmoud Y. Shams, Mahmoud Elmezain, Wael Said, Omar M. Elzeki, Haitham Nobanee and Saddam Hussain Khan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Amena Mahmoud

23 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amena Mahmoud Egypt	11	151	77	76	53	32	27	340
Apeksha Koul India	11	189 1.3×	76 1.0×	78 1.0×	49 0.9×	20 0.6×	20	436
Vishal Dutt India	12	120 0.8×	74 1.0×	67 0.9×	29 0.5×	25 0.8×	37	386
Omar Hisham Alsadoon Iraq	11	149 1.0×	83 1.1×	129 1.7×	67 1.3×	8 0.3×	37	375
Karim Gasmi Saudi Arabia	11	119 0.8×	72 0.9×	92 1.2×	57 1.1×	74 2.3×	34	345
A.K.M. Muzahidul Islam Bangladesh	10	175 1.2×	44 0.6×	47 0.6×	29 0.5×	8 0.3×	26	323
Jyothisha J. Nair India	11	131 0.9×	59 0.8×	72 0.9×	23 0.4×	9 0.3×	49	304
Ziquan Zhu United Kingdom	7	121 0.8×	98 1.3×	146 1.9×	54 1.0×	25 0.8×	10	384
Milan Tripathi Nepal	5	78 0.5×	28 0.4×	86 1.1×	13 0.2×	26 0.8×	7	248
Maali Alabdulhafith Saudi Arabia	10	117 0.8×	45 0.6×	81 1.1×	84 1.6×	9 0.3×	37	325
Md Babul Islam Italy	14	144 1.0×	43 0.6×	40 0.5×	28 0.5×	38 1.2×	33	339

Countries citing papers authored by Amena Mahmoud

Since Specialization

Citations

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

Fields of papers citing papers by Amena Mahmoud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amena Mahmoud

This figure shows the co-authorship network connecting the top 25 collaborators of Amena Mahmoud. A scholar is included among the top collaborators of Amena Mahmoud 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 Amena Mahmoud. Amena Mahmoud 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

Mahmoud, Amena, et al.. (2025). Harnessing deep learning to analyze climate change impacts on crop production. Alexandria Engineering Journal. 125. 67–82.

Juneja, Sapna, et al.. (2025). The Impact of Employee’s Awareness of Food Safety in Egyptian Hotels: Machine Learning Approach. Procedia Computer Science. 259. 182–192.

Khan, Saddam Hussain, et al.. (2024). Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework. Complex & Intelligent Systems. 10(4). 4835–4851. 5 indexed citations

Khan, Saddam Hussain, et al.. (2023). COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs. Expert Systems with Applications. 229. 120477–120477. 31 indexed citations

Dalal, Surjeet, et al.. (2023). Application of Machine Learning for Cardiovascular Disease Risk Prediction. Computational Intelligence and Neuroscience. 2023(1). 33 indexed citations

Dalal, Surjeet, M. Poongodi, Umesh Kumar Lilhore, et al.. (2023). OptimizedLightGBMmodel for security and privacy issues incyber‐physicalsystems. Transactions on Emerging Telecommunications Technologies. 34(6). 5 indexed citations

Awan, Mazhar Javed, Usman Naseem, Dilovan Asaad Zebari, et al.. (2023). Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19. Computer Systems Science and Engineering. 47(1). 791–807. 7 indexed citations

Mahmoud, Amena, Najah Alsubaie, Mohammed S. Alqahtani, et al.. (2023). Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging. Symmetry. 15(3). 571–571. 25 indexed citations

Saber, Abeer, et al.. (2023). Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images. Scientific Reports. 13(1). 14877–14877. 6 indexed citations

10.

Mahmoud, Amena, et al.. (2023). Henry gas solubility optimization double machine learning classifier for neurosurgical patients. PLoS ONE. 18(5). e0285455–e0285455. 3 indexed citations

11.

Uppal, Mudita, Deepali Gupta, Amena Mahmoud, et al.. (2023). Fault Prediction Recommender Model for IoT Enabled Sensors Based Workplace. Sustainability. 15(2). 1060–1060. 17 indexed citations

12.

Sandhu, Jasminder Kaur, Deepali Gupta, Punit Gupta, et al.. (2023). MD-MARS: Maintainability Framework Based on Data Flow Prediction Using Multivariate Adaptive Regression Splines Algorithm in Wireless Sensor Network. IEEE Access. 11. 10604–10622. 4 indexed citations

13.

Gupta, Sheifali, Deepali Gupta, Sapna Juneja, et al.. (2022). Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease. Frontiers in Computational Neuroscience. 16. 1000435–1000435. 14 indexed citations

14.

Bharti, Santosh Kumar, et al.. (2022). Text-Based Emotion Recognition Using Deep Learning Approach. Computational Intelligence and Neuroscience. 2022. 1–8. 57 indexed citations

15.

Awan, Mazhar Javed, et al.. (2022). Performance Analysis for COVID-19 Diagnosis Using Custom and State-of-the-Art Deep Learning Models. Applied Sciences. 12(13). 6364–6364. 22 indexed citations

16.

Elaraby, Mohamed, Omar M. Elzeki, Mahmoud Y. Shams, Amena Mahmoud, & Hanaa Salem. (2021). A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resources. Biomedical Signal Processing and Control. 73. 103441–103441. 22 indexed citations

17.

Sakr, Ahmed, Mahmoud Y. Shams, Amena Mahmoud, & Mohammed Zidan. (2021). Amino Acid Encryption Method Using Genetic Algorithm for Key Generation. Computers, materials & continua/Computers, materials & continua (Print). 70(1). 123–134. 3 indexed citations

18.

Mahmoud, Amena. (2021). A Survey of Computational Toxicology Approaches. 2(1). 1–7. 1 indexed citations

19.

Mahmoud, Amena, et al.. (2021). Analyzing Customer Reviews on Social Media via Applying Association Rule. Computers, materials & continua/Computers, materials & continua (Print). 68(2). 1519–1530. 2 indexed citations

20.

Mahmoud, Amena, et al.. (2020). An approach for extracting chemical data from molecular representations. 10(46). 27–33. 1 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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