Hafed Zarzour

1.4k total citations · 2 hit papers
35 papers, 881 citations indexed

About

Hafed Zarzour is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hafed Zarzour has authored 35 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 15 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Hafed Zarzour's work include Recommender Systems and Techniques (14 papers), Semantic Web and Ontologies (10 papers) and Service-Oriented Architecture and Web Services (8 papers). Hafed Zarzour is often cited by papers focused on Recommender Systems and Techniques (14 papers), Semantic Web and Ontologies (10 papers) and Service-Oriented Architecture and Web Services (8 papers). Hafed Zarzour collaborates with scholars based in Algeria, Jordan and United Arab Emirates. Hafed Zarzour's co-authors include Abdelmalek Bouguettaya, Ahmed Kechida, Amine Mohammed Taberkit, Yaser Jararweh, Mokhtar Sellami, Ziad A. Al-Sharif, Mahmoud Al‐Ayyoub, Mohamed Ridda Laouar, Mohamed Tarek Khadir and Mohammad AL-Smadi and has published in prestigious journals such as Computers & Education, IEEE Transactions on Neural Networks and Learning Systems and Signal Processing.

In The Last Decade

Hafed Zarzour

34 papers receiving 847 citations

Hit Papers

Deep learning techniques ... 2021 2026 2022 2024 2022 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hafed Zarzour Algeria 13 273 201 187 148 135 35 881
Dewei Yi United Kingdom 14 174 0.6× 160 0.8× 134 0.7× 144 1.0× 110 0.8× 31 946
Lijun He China 15 237 0.9× 175 0.9× 64 0.3× 127 0.9× 46 0.3× 53 756
Vikram Puri Vietnam 17 90 0.3× 159 0.8× 155 0.8× 116 0.8× 52 0.4× 49 991
Ignazio Gallo Italy 18 386 1.4× 98 0.5× 112 0.6× 196 1.3× 120 0.9× 81 882
Jiabao Wen China 18 433 1.6× 98 0.5× 80 0.4× 257 1.7× 34 0.3× 75 1.2k
Yurong Qian China 19 408 1.5× 164 0.8× 70 0.4× 279 1.9× 92 0.7× 115 1.2k
Doyen Sahoo Singapore 11 607 2.2× 59 0.3× 75 0.4× 428 2.9× 31 0.2× 21 1.3k
Juan Jesús Roldán Spain 16 248 0.9× 74 0.4× 32 0.2× 49 0.3× 24 0.2× 31 822
Jing Xin China 16 476 1.7× 209 1.0× 14 0.1× 148 1.0× 68 0.5× 79 1.1k
Weipeng Jing China 20 256 0.9× 25 0.1× 230 1.2× 257 1.7× 100 0.7× 121 1.1k

Countries citing papers authored by Hafed Zarzour

Since Specialization
Citations

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

Fields of papers citing papers by Hafed Zarzour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hafed Zarzour

This figure shows the co-authorship network connecting the top 25 collaborators of Hafed Zarzour. A scholar is included among the top collaborators of Hafed Zarzour 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 Hafed Zarzour. Hafed Zarzour 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.
Zarzour, Hafed, et al.. (2024). A Deep Learning-Based System for Driver Fatigue Detection. Ingénierie des systèmes d information. 29(5). 1779–1788. 2 indexed citations
2.
Bouguettaya, Abdelmalek & Hafed Zarzour. (2024). CNN-based hot-rolled steel strip surface defects classification: a comparative study between different pre-trained CNN models. The International Journal of Advanced Manufacturing Technology. 132(1-2). 399–419. 8 indexed citations
3.
Zarzour, Hafed, et al.. (2024). Exploring the effects of personalized recommendations on student’s motivation and learning achievement in gamified mobile learning framework. Education and Information Technologies. 10 indexed citations
4.
Bouguettaya, Abdelmalek, Hafed Zarzour, Ahmed Kechida, & Amine Mohammed Taberkit. (2022). Deep learning techniques to classify agricultural crops through UAV imagery: a review. Neural Computing and Applications. 34(12). 9511–9536. 198 indexed citations breakdown →
5.
Bouguettaya, Abdelmalek, Hafed Zarzour, Ahmed Kechida, & Amine Mohammed Taberkit. (2022). A survey on deep learning-based identification of plant and crop diseases from UAV-based aerial images. Cluster Computing. 26(2). 1297–1317. 91 indexed citations
6.
Zarzour, Hafed, et al.. (2022). Using K-means Clustering Ensemble to Improve the Performance in Recommender Systems. 176–180. 1 indexed citations
7.
Bouguettaya, Abdelmalek, Hafed Zarzour, Ahmed Kechida, & Amine Mohammed Taberkit. (2021). Vehicle Detection From UAV Imagery With Deep Learning: A Review. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6047–6067. 120 indexed citations
8.
Bouguettaya, Abdelmalek, Hafed Zarzour, Amine Mohammed Taberkit, & Ahmed Kechida. (2021). A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithms. Signal Processing. 190. 108309–108309. 173 indexed citations breakdown →
9.
Bouguettaya, Abdelmalek, Hafed Zarzour, Ahmed Kechida, & Amine Mohammed Taberkit. (2021). Recent Advances on UAV and Deep Learning for Early Crop Diseases Identification: A Short Review. 334–339. 12 indexed citations
10.
Zarzour, Hafed, et al.. (2021). An Efficient Recommender System Based on Collaborative Filtering Recommendation and Cluster Ensemble. University of Brighton Repository (University of Brighton). 3. 1–6.
11.
Zarzour, Hafed, et al.. (2020). Exploring the behavioral patterns of students learning with a Facebook-based e-book approach. Computers & Education. 156. 103957–103957. 32 indexed citations
13.
Zarzour, Hafed, et al.. (2019). An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment. 26. 286–290. 6 indexed citations
14.
Zarzour, Hafed, et al.. (2019). An Effective Recommender System Based on Clustering Technique for TED Talks. International Journal of Information Technology and Web Engineering. 15(1). 35–51. 13 indexed citations
15.
Zarzour, Hafed, Ziad A. Al-Sharif, & Yaser Jararweh. (2019). RecDNNing: a recommender system using deep neural network with user and item embeddings. 99–103. 18 indexed citations
16.
Zarzour, Hafed & Mokhtar Sellami. (2018). Effects of a linked data-based annotation approach on students’ learning achievement and cognitive load. Interactive Learning Environments. 26(8). 1090–1099. 12 indexed citations
17.
Zarzour, Hafed, et al.. (2016). Towards a smart city ontology. 1–6. 13 indexed citations
18.
Zarzour, Hafed & Mokhtar Sellami. (2013). srCE: a collaborative editing of scalable semantic stores on P2P networks. International Journal of Computer Applications in Technology. 48(1). 1–1. 3 indexed citations
19.
Zarzour, Hafed & Mokhtar Sellami. (2013). p2pCoSU: A P2P Sparql/update for collaborative authoring of triple-stores. 6976. 128–136. 5 indexed citations
20.
Zarzour, Hafed & Mokhtar Sellami. (2012). B-Set: A synchronization method for distributed semantic stores. 1–6. 7 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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