Mohammad Azzeh

3.2k total citations · 1 hit paper
83 papers, 2.1k citations indexed

About

Mohammad Azzeh is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Mohammad Azzeh has authored 83 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Information Systems, 43 papers in Software and 18 papers in Artificial Intelligence. Recurrent topics in Mohammad Azzeh's work include Software Engineering Research (46 papers), Software Reliability and Analysis Research (43 papers) and Software Engineering Techniques and Practices (25 papers). Mohammad Azzeh is often cited by papers focused on Software Engineering Research (46 papers), Software Reliability and Analysis Research (43 papers) and Software Engineering Techniques and Practices (25 papers). Mohammad Azzeh collaborates with scholars based in Jordan, United Arab Emirates and Canada. Mohammad Azzeh's co-authors include Ali Bou Nassif, Ismail Shahin, Khaled Shaalan, Daniel Neagu, Peter Cowling, Shadi Banitaan, Ali Idri, Alain Abran, Luiz Fernando Capretz and Danny Ho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Mohammad Azzeh

73 papers receiving 1.9k citations

Hit Papers

Speech Recognition Using Deep Neural Networks: A Systemat... 2019 2026 2021 2023 2019 200 400 600
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. Speech Recognition Using Deep Neural Networks: A Systematic Review
    2019 735 citations Ali Bou Nassif, Mohammad Azzeh et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Azzeh Jordan 21 992 767 629 236 220 83 2.1k
Xiaobing Sun China 29 1.7k 1.7× 799 1.0× 846 1.3× 661 2.8× 365 1.7× 191 2.7k
Yan Xiao China 22 570 0.6× 311 0.4× 445 0.7× 263 1.1× 169 0.8× 141 1.6k
Ding Yuan China 26 1.3k 1.3× 683 0.9× 572 0.9× 1.3k 5.6× 146 0.7× 145 2.7k
Juan de Lara Spain 25 1.3k 1.3× 1.7k 2.2× 1.3k 2.1× 415 1.8× 40 0.2× 233 2.8k
Gang Tan United States 30 740 0.7× 336 0.4× 1.4k 2.2× 716 3.0× 1.2k 5.3× 133 2.4k
Simon See Singapore 20 244 0.2× 149 0.2× 534 0.8× 316 1.3× 78 0.4× 129 1.4k
Muhammad Rashid Saudi Arabia 28 503 0.5× 143 0.2× 661 1.1× 210 0.9× 98 0.4× 178 2.2k
Jun Zheng China 24 361 0.4× 153 0.2× 503 0.8× 770 3.3× 204 0.9× 175 2.3k
Man Zhang China 20 268 0.3× 331 0.4× 227 0.4× 215 0.9× 73 0.3× 91 966

Countries citing papers authored by Mohammad Azzeh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Azzeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Azzeh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Azzeh. A scholar is included among the top collaborators of Mohammad Azzeh 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 Mohammad Azzeh. Mohammad Azzeh 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.
Azzeh, Mohammad, et al.. (2024). Arabic cyberbullying detection system using convolutional neural network and multi-head attention. International Journal of Speech Technology. 27(3). 521–537. 3 indexed citations
2.
Abdelhay, Osama, et al.. (2024). Telemedicine interventions in type 2 diabetes management: a protocol for systematic review and network meta-analysis. BMJ Open. 14(2). e078100–e078100. 1 indexed citations
3.
Azzeh, Mohammad, Abedalrhman Alkhateeb, & Ali Bou Nassif. (2024). Software effort estimation using convolutional neural network and fuzzy clustering. Neural Computing and Applications. 36(23). 14449–14464. 2 indexed citations
4.
Talib, Manar Abu, et al.. (2024). Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction. Neural Computing and Applications. 36(27). 16911–16940. 2 indexed citations
5.
Azzeh, Mohammad, et al.. (2024). Polishing the black box: flexible model-based partitioning surrogate models for interpretable machine learning model. International Journal of Data Science and Analytics. 20(4). 3663–3691.
6.
Azzeh, Mohammad, et al.. (2024). Software defect density prediction using grey system theory and fuzzy logic. Soft Computing. 28(21-22). 12897–12916. 1 indexed citations
7.
Azzeh, Mohammad, et al.. (2024). Fake news detection models using the largest social media ground-truth dataset (TruthSeeker). International Journal of Speech Technology. 27(2). 389–404.
8.
Azzeh, Mohammad, et al.. (2023). A soft computing approach for software defect density prediction. Journal of Software Evolution and Process. 36(4). 2 indexed citations
9.
10.
Nassif, Ali Bou, et al.. (2023). Software defect prediction using learning to rank approach. Scientific Reports. 13(1). 18885–18885. 6 indexed citations
11.
Azzeh, Mohammad, et al.. (2023). Toward Fluent Arabic Poem Generation Based on Fine-tuning AraGPT2 Transformer. Arabian Journal for Science and Engineering. 48(8). 10537–10549. 1 indexed citations
12.
Azzeh, Mohammad, et al.. (2023). Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and $k$-Nearest Neighbour Classifier. SHILAP Revista de lepidopterología. 18(1). 240103–240103. 3 indexed citations
13.
Azzeh, Mohammad. (2023). Software Effort Estimation Using Deep Learning and Fuzzy Modelling. 1–6. 1 indexed citations
14.
Yağın, Fatma Hilal, et al.. (2023). Explainable artificial intelligence model for identifying COVID-19 gene biomarkers. Computers in Biology and Medicine. 154. 106619–106619. 59 indexed citations
15.
Azzeh, Mohammad, et al.. (2022). Software Defect Density Prediction Using Deep Learning. IEEE Access. 10. 114629–114641. 15 indexed citations
16.
Azzeh, Mohammad, Ali Bou Nassif, & Shadi Banitaan. (2022). On Selection of Optimal Kernel Function for Software Defect Prediction. 26. 1761–1768.
17.
Azzeh, Mohammad, Ali Bou Nassif, & Shadi Banitaan. (2017). Comparative analysis of soft computing techniques for predicting software effort based use case points. IET Software. 12(1). 19–29. 37 indexed citations
18.
Azzeh, Mohammad & Ali Bou Nassif. (2015). Analogy‐based effort estimation: a new method to discover set of analogies from dataset characteristics. IET Software. 9(2). 39–50. 30 indexed citations
19.
Azzeh, Mohammad, et al.. (2013). Value of ranked voting methods for estimation by analogy. IET Software. 7(4). 195–202. 4 indexed citations
20.
Azzeh, Mohammad. (2011). Software effort estimation based on optimized model tree. 1–8. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xiaobing Sun Breakdown of academic impact, for papers by Yan Xiao Breakdown of academic impact, for papers by Ding Yuan Breakdown of academic impact, for papers by Juan de Lara Breakdown of academic impact, for papers by Gang Tan Breakdown of academic impact, for papers by Simon See Breakdown of academic impact, for papers by Muhammad Rashid Breakdown of academic impact, for papers by Jun Zheng Breakdown of academic impact, for papers by Man Zhang
Rankless by CCL
2026