Ayman Abaza

1.0k citations
29 papers · 617 indexed · h-index 15
Topics
Biometric Identification and Security (14 papers)Face recognition and analysis (14 papers)Face and Expression Recognition (9 papers)

In The Last Decade

Ayman Abaza

28 papers receiving 578 citations

Peers

Ayman Abaza
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 387
  • Signal Processing 342
  • Surgery 103
  • Oral Surgery 90
  • Information Systems 79
Replace Abdelhani Boukrouche with:
Abdelhani Boukrouche Algeria
Sezer Ulukaya Türkiye
Yuru Pei China
Pascal Paysan Switzerland
G. Passalis United States
Tobias Gass Switzerland
Andrzej Skalski Poland
Abdolvahab Ehsani Rad Malaysia
Fuli Wu China
Constantin Vertan Romania
Ayman Abaza relative to Abdelhani Boukrouche Algeria Abdelhani Boukrouche's profile →
Citations per field
00.5×6.9×
Abdelhani Boukrouche · 1×
Citations per year

Countries citing papers authored by Ayman Abaza

Since Specialization
Citations

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

Fields of papers citing papers by Ayman Abaza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayman Abaza

This figure shows the co-authorship network connecting the top 25 collaborators of Ayman Abaza. A scholar is included among the top collaborators of Ayman Abaza 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 Ayman Abaza. Ayman Abaza 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 11
2
Quality Metrics for Practical Face Recognition
23
3 9
4 31
5 1
6 6
7 3
8 19
9 29
10 15
11 48
12 39
13 10
14 16
15 10
16 21
17 8
18 1
19
Fast and accurate segmentation of dental x-ray records
1
20 17

About Ayman Abaza

Ayman Abaza is a scholar working on Signal Processing, Oral Surgery and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 617 indexed citations. Recurring topics across this work include Biometric Identification and Security (14 papers), Face recognition and analysis (14 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Signal Processing (342 citations), Computer Vision and Pattern Recognition (387 citations) and Oral Surgery (90 citations). Ayman Abaza has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include Arun Ross, Mary Ann F. Harrison, Thirimachos Bourlai, H.H. Ammar, Mark Nixon, William T. Goldsmith, Jeffrey Reynolds, Walter McKinney, Edward L. Petsonk and David G. Frazer. Their work appears in journals such as Magnetic Resonance in Medicine, ACM Computing Surveys and Computer.

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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