Abeer Saber

1.2k total citations · 2 hit papers
24 papers, 694 citations indexed

About

Abeer Saber is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Abeer Saber has authored 24 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Neurology. Recurrent topics in Abeer Saber's work include AI in cancer detection (11 papers), Brain Tumor Detection and Classification (9 papers) and Advanced Neural Network Applications (4 papers). Abeer Saber is often cited by papers focused on AI in cancer detection (11 papers), Brain Tumor Detection and Classification (9 papers) and Advanced Neural Network Applications (4 papers). Abeer Saber collaborates with scholars based in Egypt, Saudi Arabia and Jordan. Abeer Saber's co-authors include Mohamed Sakr, Arabi Keshk, Osama M. Abo-Seida, Huiling Chen, Esraa Hassan, Wael A. Awad, Esraa Hassan, Abdelazim G. Hussien, Laith Abualigah and Fatma A. Hashim and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Abeer Saber

22 papers receiving 677 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique

2021 266 citations Abeer Saber, Mohamed Sakr et al. IEEE Access profile →
Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizer

2024 48 citations Esraa Hassan, Abeer Saber et al. Biomedical Signal Processing and Control profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abeer Saber Egypt	13	408	222	156	142	45	24	694
Shankar Thawkar India	14	228 0.6×	218 1.0×	142 0.9×	53 0.4×	21 0.5×	23	511
Rohit Kundu India	16	565 1.4×	390 1.8×	246 1.6×	66 0.5×	89 2.0×	23	954
Md. Rezwanul Haque Bangladesh	10	376 0.9×	235 1.1×	86 0.6×	54 0.4×	73 1.6×	14	665
Ahmed T. Sahlol Egypt	11	599 1.5×	501 2.3×	398 2.6×	27 0.2×	44 1.0×	20	1.0k
Dildar Hussain South Korea	14	164 0.4×	200 0.9×	151 1.0×	51 0.4×	170 3.8×	60	746
Fung Fung Ting Malaysia	6	375 0.9×	248 1.1×	228 1.5×	141 1.0×	34 0.8×	16	626
Wilfrido Gómez‐Flores Mexico	15	479 1.2×	211 1.0×	211 1.4×	34 0.2×	49 1.1×	45	737
T. S. Subashini India	14	232 0.6×	125 0.6×	256 1.6×	33 0.2×	54 1.2×	43	585
Vibhav Prakash Singh India	14	198 0.5×	99 0.4×	207 1.3×	66 0.5×	14 0.3×	56	511
Esraa Hassan Egypt	9	154 0.4×	99 0.4×	104 0.7×	39 0.3×	31 0.7×	13	400

Countries citing papers authored by Abeer Saber

Since Specialization

Citations

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

Fields of papers citing papers by Abeer Saber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abeer Saber

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Saber, Abeer, et al.. (2025). A novel approach for breast cancer detection using a Nesterov accelerated adam optimizer with an attention mechanism. Scientific Reports. 15(1). 27065–27065. 1 indexed citations

Hassan, Esraa, et al.. (2025). An innovative approach to advanced voice classification of sacred Quranic recitations through multimodal fusion. Egyptian Informatics Journal. 30. 100640–100640.

Saber, Abeer, et al.. (2025). Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification. Scientific Reports. 15(1). 12487–12487. 2 indexed citations

Hassan, Esraa, Abeer Saber, Tarek Abd El‐Hafeez, T. Medhat, & Mahmoud Y. Shams. (2025). Enhanced dysarthria detection in cerebral palsy and ALS patients using WaveNet and CNN-BiLSTM models: A comparative study with model interpretability. Biomedical Signal Processing and Control. 110. 108128–108128. 12 indexed citations

Hassan, Esraa, Abeer Saber, Shaker El–Sappagh, & Nora El-Rashidy. (2025). Optimized ensemble deep learning approach for accurate breast cancer diagnosis using transfer learning and grey wolf optimization. Evolving Systems. 16(2). 13 indexed citations

Hassan, Esraa, et al.. (2024). Integrating neural networks with advanced optimization techniques for accurate kidney disease diagnosis. Scientific Reports. 14(1). 21740–21740. 36 indexed citations

Saber, Abeer, et al.. (2024). An optimized ensemble model based on meta-heuristic algorithms for effective detection and classification of breast tumors. Neural Computing and Applications. 37(6). 4881–4894. 40 indexed citations

Hassan, Esraa, et al.. (2024). Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizer. Biomedical Signal Processing and Control. 94. 106246–106246. 48 indexed citations breakdown →

Hassan, Esraa, et al.. (2024). Ultimate pose estimation: A comparative study. Expert Systems. 41(9). 2 indexed citations

10.

Hassan, Esraa, Abeer Saber, El‐Sayed M. El‐kenawy, Roheet Bhatnagar, & Mahmoud Y. Shams. (2024). Early Detection of Black Fungus Using Deep Learning Models for Efficient Medical Diagnosis. 426–431. 15 indexed citations

11.

Alnowaiser, Khaled, Abeer Saber, Esraa Hassan, & Wael A. Awad. (2024). An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis. PLoS ONE. 19(8). e0304868–e0304868. 33 indexed citations

12.

Saber, Abeer, et al.. (2024). Integration of LSTM networks with gradient boosting machines (GBM) for assessing heating and cooling load requirements in building energy efficiency. Energy Exploration & Exploitation. 42(6). 2191–2217. 8 indexed citations

13.

Zheng, Rong, Abdelazim G. Hussien, Raneem Qaddoura, et al.. (2023). A multi-strategy enhanced African vultures optimization algorithm for global optimization problems. Journal of Computational Design and Engineering. 10(1). 329–356. 36 indexed citations

14.

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

15.

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

16.

Hassan, Esraa, M. Shamim Hossain, Abeer Saber, et al.. (2023). A quantum convolutional network and ResNet (50)-based classification architecture for the MNIST medical dataset. Biomedical Signal Processing and Control. 87. 105560–105560. 41 indexed citations

17.

Saber, Abeer, et al.. (2023). Enhancing Security in ZigBee Wireless Sensor Networks: A New Approach and Mutual Authentication Scheme for D2D Communication. Sensors. 23(12). 5703–5703. 18 indexed citations

18.

Hussien, Abdelazim G., Laith Abualigah, Raed Abu Zitar, et al.. (2022). Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications. Electronics. 11(12). 1919–1919. 69 indexed citations

19.

Saber, Abeer, Mohamed Sakr, Osama M. Abo-Seida, Arabi Keshk, & Huiling Chen. (2021). A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique. IEEE Access. 9. 71194–71209. 266 indexed citations breakdown →

20.

Saber, Abeer, et al.. (2021). A Novel Transfer-Learning Model for Automatic Detection and Classification of Breast Cancer Based Deep CNN. 2(1). 1–9. 11 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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