Heba Abdel-Nabi

573 total citations · 1 hit paper
17 papers, 312 citations indexed

About

Heba Abdel-Nabi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Heba Abdel-Nabi has authored 17 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Heba Abdel-Nabi's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Heba Abdel-Nabi is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Heba Abdel-Nabi collaborates with scholars based in Jordan, Singapore and Qatar. Heba Abdel-Nabi's co-authors include Samar Al-Saqqa, Arafat Awajan, Mostafa Z. Ali, Ali Al‐Haj, Mohammad I. Daoud, Rami Alazrai, Ponnuthurai Nagaratnam Suganthan, Ghazi Al‐Naymat, Nadim Obeid and Robert G. Reynolds and has published in prestigious journals such as IEEE Access, Information Sciences and Biomedical Signal Processing and Control.

In The Last Decade

Heba Abdel-Nabi

15 papers receiving 297 citations

Hit Papers

Agile Software Developmen... 2020 2026 2022 2024 2020 50 100 150
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.

  1. Agile Software Development: Methodologies and Trends
    2020 175 citations Samar Al-Saqqa, Heba Abdel-Nabi et al. International Journal of Interactive Mobile Technologies (iJIM) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heba Abdel-Nabi Jordan 8 116 116 52 28 24 17 312
Rajaram Ganeshan India 9 43 0.4× 180 1.6× 41 0.8× 28 1.0× 9 0.4× 32 360
Laria Reynolds United States 3 54 0.5× 247 2.1× 39 0.8× 8 0.3× 8 0.3× 3 394
Younès El Bouzekri El Idrissi Morocco 9 72 0.6× 56 0.5× 24 0.5× 27 1.0× 6 0.3× 60 225
Mark Campbell United States 8 88 0.8× 126 1.1× 23 0.4× 27 1.0× 12 0.5× 26 332
Shaochen Zhong United States 3 42 0.4× 140 1.2× 23 0.4× 15 0.5× 10 0.4× 6 278
Weitao Ma China 2 54 0.5× 236 2.0× 29 0.6× 11 0.4× 17 0.7× 6 414
Adrian Calma Germany 8 35 0.3× 150 1.3× 39 0.8× 25 0.9× 6 0.3× 17 256
Diego Dermeval Brazil 11 219 1.9× 225 1.9× 23 0.4× 54 1.9× 4 0.2× 65 524
Hongye Jin United States 2 41 0.4× 128 1.1× 20 0.4× 11 0.4× 10 0.4× 2 241
Yong Suk Choi South Korea 10 47 0.4× 157 1.4× 64 1.2× 6 0.2× 9 0.4× 64 323

Countries citing papers authored by Heba Abdel-Nabi

Since Specialization
Citations

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

Fields of papers citing papers by Heba Abdel-Nabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heba Abdel-Nabi. 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 Heba Abdel-Nabi. The network helps show where Heba Abdel-Nabi may publish in the future.

Co-authorship network of co-authors of Heba Abdel-Nabi

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

All Works

17 of 17 papers shown
1.
2.
Abdel-Nabi, Heba, et al.. (2025). AI-Driven Intrusion Detection: A Machine Learning-Based Approach. 64–71.
3.
Abdel-Nabi, Heba, Mostafa Z. Ali, Arafat Awajan, et al.. (2023). An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization. Information Sciences. 628. 92–133. 6 indexed citations
4.
Abdel-Nabi, Heba, Ghazi Al‐Naymat, Mostafa Z. Ali, & Arafat Awajan. (2023). HcLSH: A Novel Non-Linear Monotonic Activation Function for Deep Learning Methods. IEEE Access. 11. 47794–47815. 12 indexed citations
5.
Abdel-Nabi, Heba, Mostafa Z. Ali, & Arafat Awajan. (2023). A multi-scale 3-stacked-layer coned U-net framework for tumor segmentation in whole slide images. Biomedical Signal Processing and Control. 86. 105273–105273. 8 indexed citations
6.
Abdel-Nabi, Heba, Mostafa Z. Ali, Arafat Awajan, et al.. (2023). A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks. Cluster Computing. 26(5). 3145–3185. 22 indexed citations
7.
Abdel-Nabi, Heba, Mostafa Z. Ali, & Arafat Awajan. (2023). A joint Multi-decoder Dual-attention U-Net framework for tumor segmentation in Whole Slide Images. Journal of King Saud University - Computer and Information Sciences. 35(10). 101835–101835. 2 indexed citations
8.
Abdel-Nabi, Heba, Arafat Awajan, & Mostafa Z. Ali. (2022). A Novel Ensemble Strategy With Enhanced Cross Attention Encoder-Decoder Framework for Tumor Segmentation in Whole Slide Images. 262–269. 3 indexed citations
9.
Abdel-Nabi, Heba, Mostafa Z. Ali, Mohammad I. Daoud, et al.. (2022). An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization. Qatar University QSpace (Qatar University). 1–8. 1 indexed citations
10.
Abdel-Nabi, Heba, Arafat Awajan, & Mostafa Z. Ali. (2022). Deep learning-based question answering: a survey. Knowledge and Information Systems. 65(4). 1399–1485. 10 indexed citations
11.
Abdel-Nabi, Heba & Ali Al‐Haj. (2021). Reversible data hiding in adjacent zeros. Multimedia Systems. 27(2). 229–245. 4 indexed citations
12.
Al‐Haj, Ali & Heba Abdel-Nabi. (2021). An efficient watermarking algorithm for medical images. Multimedia Tools and Applications. 80(17). 26021–26047. 14 indexed citations
13.
Ali, Mostafa Z., et al.. (2021). Real-parameter constrained optimization using enhanced quality-based cultural algorithm with novel influence and selection schemes. Information Sciences. 576. 242–273. 12 indexed citations
14.
Al-Saqqa, Samar, et al.. (2020). Agile Software Development: Methodologies and Trends. International Journal of Interactive Mobile Technologies (iJIM). 14(11). 246–246. 175 indexed citations breakdown →
15.
Abdel-Nabi, Heba, Ghazi Al‐Naymat, & Arafat Awajan. (2019). Content Based Image Retrieval Approach using Deep Learning. 1–8. 6 indexed citations
16.
Al-Saqqa, Samar, Heba Abdel-Nabi, & Arafat Awajan. (2018). A Survey of Textual Emotion Detection. 136–142. 36 indexed citations
17.
Abdel-Nabi, Heba, Arafat Awajan, & Nadim Obeid. (2018). A Novel Histogram Shifting Reversible Data Hiding Scheme for Color Images. 4675. 173–179. 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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