Hafed Zarzour

34 papers receiving 847 citations

Hit Papers

Deep learning techniques to classify agricultural crops t...20212026202220242022202150100150

Peers

Hafed Zarzour
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 273
  • Plant Science 201
  • Information Systems 187
  • Artificial Intelligence 148
  • Ecology 135
Replace Dewei Yi with:
Dewei Yi United Kingdom
Jiong Yu China
Lijun He China
Doyen Sahoo Singapore
Alberto Gotta Italy
Waleed Albattah Saudi Arabia
José F. Rodrigues Brazil
Miguel García Spain
Jin‐Ghoo Choi South Korea
Cong Zhao China
Hafed Zarzour relative to Dewei Yi United Kingdom Dewei Yi's profile →
Citations per field
00.5×1.6×
Dewei Yi · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 10
3 8
4 21
5 91
6
Deep learning techniques to classify agricultural crops through UAV imagery: a reviewbreakdown →
198
7 120
8 12
9
A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithmsbreakdown →
173
10 0
11 32
12 7
13 18
14 6
15 12
16 1
17 7
18 13
19 3
20 7

About Hafed Zarzour

Hafed Zarzour is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence, having authored 35 papers that have together received 881 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (14 papers), Semantic Web and Ontologies (10 papers) and Service-Oriented Architecture and Web Services (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Safety, Risk, Reliability and Quality (106 citations) and Information Systems (187 citations). Hafed Zarzour has collaborated with scholars based in Algeria, Jordan and United Arab Emirates. Frequent co-authors include Abdelmalek Bouguettaya, Ahmed Kechida, Amine Mohammed Taberkit, Yaser Jararweh, Mokhtar Sellami, Ziad A. Al-Sharif, Mahmoud Al‐Ayyoub, Mohamed Tarek Khadir, Mohamed Ridda Laouar and Mohammad AL-Smadi. Their work appears in journals such as Computers & Education, IEEE Transactions on Neural Networks and Learning Systems and Signal Processing.

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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