Amine Mohammed Taberkit

881 total citations · 2 hit papers
10 papers, 607 citations indexed

About

Amine Mohammed Taberkit is a scholar working on Ecology, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amine Mohammed Taberkit has authored 10 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, 4 papers in Plant Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amine Mohammed Taberkit's work include Remote Sensing in Agriculture (4 papers), Smart Agriculture and AI (4 papers) and Video Surveillance and Tracking Methods (3 papers). Amine Mohammed Taberkit is often cited by papers focused on Remote Sensing in Agriculture (4 papers), Smart Agriculture and AI (4 papers) and Video Surveillance and Tracking Methods (3 papers). Amine Mohammed Taberkit collaborates with scholars based in Algeria. Amine Mohammed Taberkit's co-authors include Ahmed Kechida, Abdelmalek Bouguettaya and Hafed Zarzour and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Signal Processing and Neural Computing and Applications.

In The Last Decade

Amine Mohammed Taberkit

8 papers receiving 586 citations

Hit Papers

Deep learning techniques to classify agricultural crops t... 2021 2026 2022 2024 2022 2021 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. Deep learning techniques to classify agricultural crops through UAV imagery: a review
    2022 198 citations Abdelmalek Bouguettaya, Hafed Zarzour et al. Neural Computing and Applications profile →
  2. A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithms
    2021 173 citations Abdelmalek Bouguettaya, Hafed Zarzour et al. Signal Processing profile →

Peers

Amine Mohammed Taberkit
Abdelmalek Bouguettaya Algeria
Ahmed Kechida Algeria
Lixue Zhu China
Donald V. Sullivan United States
Esther Salamí Spain
Diogo Nunes Gonçalves Brazil
Dimosthenis C. Tsouros Greece
Pierre-Luc St-Charles Canada
Abdelmalek Bouguettaya Algeria
Amine Mohammed Taberkit
Citations per year, relative to Amine Mohammed Taberkit Amine Mohammed Taberkit (= 1×) peers Abdelmalek Bouguettaya

Countries citing papers authored by Amine Mohammed Taberkit

Since Specialization
Citations

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

Fields of papers citing papers by Amine Mohammed Taberkit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amine Mohammed Taberkit. 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 Amine Mohammed Taberkit. The network helps show where Amine Mohammed Taberkit may publish in the future.

Co-authorship network of co-authors of Amine Mohammed Taberkit

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

All Works

10 of 10 papers shown
1.
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
2.
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 →
3.
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
4.
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
5.
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 →
6.
Taberkit, Amine Mohammed, Ahmed Kechida, & Abdelmalek Bouguettaya. (2021). Algerian Perspectives for UAV-based Remote Sensing Technologies and Artificial Intelligence in Precision Agriculture. 1–9. 2 indexed citations
7.
Bouguettaya, Abdelmalek, Ahmed Kechida, & Amine Mohammed Taberkit. (2019). A Survey on Lightweight CNN-Based Object Detection Algorithms for Platforms with Limited Computational Resources. DergiPark (Istanbul University). 9 indexed citations
8.
9.
Taberkit, Amine Mohammed, et al.. (2018). Modeling and Simulation of Biaxial Strained P-MOSFETs: Application to a Single and Dual Channel Heterostructure. International Journal of Electrical and Computer Engineering (IJECE). 8(1). 421–421. 2 indexed citations
10.
Taberkit, Amine Mohammed, et al.. (2015). Engineering of Nano-Scale Strained MOSFETs: A Solution for the Mobility Enhancement. World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering. 9(12). 1440–1443.

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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2026