Fadi Dornaika

1.2k citations
24 papers · 812 indexed · h-index 9
Topics
Face and Expression Recognition (9 papers)Remote-Sensing Image Classification (6 papers)Video Surveillance and Tracking Methods (6 papers)
Partner nations
SpainVietnamFrance

In The Last Decade

Fadi Dornaika

18 papers receiving 784 citations

Peers

Fadi Dornaika
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 510
  • Aerospace Engineering 300
  • Control and Systems Engineering 283
  • Mechanical Engineering 139
  • Media Technology 110
Replace Vítor Santos with:
Vítor Santos Portugal
Gian Luca Mariottini United States
Kejie Li China
Tsai Hong Hong United States
Huimin Lu China
Zaixing He China
Taku Senoo Japan
Piotr Skrzypczyński Poland
F.C. Park South Korea
J.M. Sebastián Spain
Fadi Dornaika relative to Vítor Santos Portugal Vítor Santos's profile →
Citations per field
00.5×1.5×2.0×
Vítor Santos · 1×
Citations per year

Countries citing papers authored by Fadi Dornaika

Since Specialization
Citations

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

Fields of papers citing papers by Fadi Dornaika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fadi Dornaika

This figure shows the co-authorship network connecting the top 25 collaborators of Fadi Dornaika. A scholar is included among the top collaborators of Fadi Dornaika 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 Fadi Dornaika. Fadi Dornaika 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 0
3 0
4 14
5 1
6 1
7 29
8 1
9 0
10 5
11 1
12 1
13 8
14 4
15 1
16 1
17 45
18 0
19 224
20 428

About Fadi Dornaika

Fadi Dornaika is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 24 papers that have together received 812 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Remote-Sensing Image Classification (6 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (510 citations), Media Technology (110 citations) and Control and Systems Engineering (283 citations). Fadi Dornaika has collaborated with scholars based in Spain, Vietnam and France. Frequent co-authors include Radu Horaud, Fahed Abdallah, Daniel Ponsa, Antonio M. López, Ángel D. Sappa, David Gerónimo, Salim Sbaa, Abdelmalik Taleb‐Ahmed, Alireza Bosaghzadeh and Yassine Ruichek. Their work appears in journals such as Expert Systems with Applications, Sensors and Pattern Recognition.

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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