Ali Al-Fayadh

410 citations
32 papers · 252 · h-index 6

Impact in

Papers in

Ali Al-Fayadh

24 papers receiving 231 citations

Peers

Ali Al-Fayadh
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 174
  • Modeling and Simulation 23
  • Media Technology 29
  • Signal Processing 34
  • Geometry and Topology 22
Replace Yuru Zou with:
Yuru Zou China
Nirmal K. Bose United States
Jajati Keshari Sahoo India
Lingfei Wang China
Vassilis Kalofolias Switzerland
Pan Mu China
Abdul Mueed Hafiz India
Gui‐Fu Lu China
Abdeslam Hmimid Morocco
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Citations per field
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Citations per year

Countries citing papers authored by Ali Al-Fayadh

Since Specialization
Citations

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

Fields of papers citing papers by Ali Al-Fayadh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Al-Fayadh. 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 Al-Fayadh. The network helps show where Ali Al-Fayadh may publish in the future.

Co-authors

The 8 scholars most cited alongside Ali Al-Fayadh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Al-Fayadh Line = papers co-authored together Ali Al-Fayadh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018170
2 201913
3 20217
4 20086
5 20226
6 20085
7 20095
8 20074
9
CT Angiography Image Segmentation by Mean Shift Algorithm and Contour with Connected Components Image
20124
10 20223
11 20123
12 20223
13 20093
14 20173
15 20173
16 20193
17 20072
18 20232
19 20182
20 20201

About Ali Al-Fayadh

Ali Al-Fayadh is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics and Geometry and Topology, having authored 32 papers that have together received 252 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (9 papers), Image and Signal Denoising Methods (9 papers), Advanced Data Compression Techniques (8 papers), Analytic and geometric function theory (5 papers), Advanced Image Processing Techniques (5 papers), Nonlinear Waves and Solitons (5 papers), Iterative Methods for Nonlinear Equations (4 papers) and Numerical methods in engineering (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (174 citations), Modeling and Simulation (23 citations), Media Technology (29 citations), Signal Processing (34 citations) and Geometry and Topology (22 citations). Ali Al-Fayadh has collaborated with scholars based in Iraq, United Kingdom and Saudi Arabia. Frequent co-authors include Abir Hussain, Naeem Radi, Paulo Lisböa, Dhiya Al‐Jumeily, S. Vijayalakshmi, Adel Al-Jumaily, Panos Liatsis and Ahmed J. Obaid. Their work appears in journals such as Neurocomputing, Electronics Letters, Journal of Electronic Imaging, Afrika Matematika and Iraqi Journal of Science.

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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