Ali El‐Zaart

1.5k total citations
84 papers, 1.0k citations indexed

About

Ali El‐Zaart is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ali El‐Zaart has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 27 papers in Media Technology and 21 papers in Artificial Intelligence. Recurrent topics in Ali El‐Zaart's work include Medical Image Segmentation Techniques (32 papers), AI in cancer detection (12 papers) and Image and Object Detection Techniques (11 papers). Ali El‐Zaart is often cited by papers focused on Medical Image Segmentation Techniques (32 papers), AI in cancer detection (12 papers) and Image and Object Detection Techniques (11 papers). Ali El‐Zaart collaborates with scholars based in Lebanon, Saudi Arabia and United Kingdom. Ali El‐Zaart's co-authors include Carl Adams, Djemel Ziou, Rachid Sammouda, Muhammad Hussain, Summrina Kanwal, Shengrui Wang, Abdu Gumaei, Hala Alshamlan, Ahmed Bouridane and Duaa AlSaeed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and International Journal of Remote Sensing.

In The Last Decade

Ali El‐Zaart

78 papers receiving 965 citations

Peers

Ali El‐Zaart
Comparison fields: 5 of 133
  • Media Technology 348
  • Computer Vision and Pattern Recognition 297
  • Artificial Intelligence 225
  • Transportation 106
  • Radiology, Nuclear Medicine and Imaging 95
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Citations per field, relative to Ali El‐Zaart
Ali El‐Zaart · 1×
Citations per year, relative to Ali El‐Zaart
Ali El‐Zaart · 1×

Countries citing papers authored by Ali El‐Zaart

Since Specialization
Citations

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

Fields of papers citing papers by Ali El‐Zaart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali El‐Zaart. 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 Ali El‐Zaart. The network helps show where Ali El‐Zaart may publish in the future.

Co-authorship network of co-authors of Ali El‐Zaart

This figure shows the co-authorship network connecting the top 25 collaborators of Ali El‐Zaart. A scholar is included among the top collaborators of Ali El‐Zaart 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 Ali El‐Zaart. Ali El‐Zaart 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
# Work Indexed citations
1 0
2 3
3 0
4 5
5 0
6 2
7 7
8 4
9 55
10
A novel fast Otsu digital image segmentation method
16
11 7
12 5
13 1
14
A new image segmentation method based On 3-dimensional entropic thresholding using a 3-dimensional (GLLALE) histogram
1
15 28
16 1
17 1
18 30
19 10
20 1

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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