Abdellah Aarab

552 citations
58 papers · 324 indexed · h-index 11
Topics
Video Surveillance and Tracking Methods (20 papers)Cutaneous Melanoma Detection and Management (14 papers)AI in cancer detection (9 papers)
Partner nations
MoroccoCanada

In The Last Decade

Abdellah Aarab

52 papers receiving 291 citations

Peers

Abdellah Aarab
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 140
  • Oncology 131
  • Artificial Intelligence 128
  • Epidemiology 45
  • Media Technology 34
Replace Samy Bakheet with:
Samy Bakheet Egypt
Marcos Escudero-Viñolo Spain
Jesús Bescós Spain
Fakhreddine Ababsa France
Nudrat Nida Pakistan
Priyadarsan Parida India
Yanhong Luo China
Harald Ganster Austria
Syed Inthiyaz India
Mostafa E. A. Ibrahim Egypt
Abdellah Aarab relative to Samy Bakheet Egypt Samy Bakheet's profile →
Citations per field
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Samy Bakheet · 1×
Citations per year

Countries citing papers authored by Abdellah Aarab

Since Specialization
Citations

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

Fields of papers citing papers by Abdellah Aarab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdellah Aarab

This figure shows the co-authorship network connecting the top 25 collaborators of Abdellah Aarab. A scholar is included among the top collaborators of Abdellah Aarab 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 Abdellah Aarab. Abdellah Aarab 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 0
2 0
3 3
4 0
5 2
6 11
7 5
8 3
9 1
10 1
11 1
12 1
13 7
14 11
15 3
16 4
17
Robust visual tracking based on H∞ Particle filter by adaptively integrating multiple cues
2
18 5
19 1
20 4

About Abdellah Aarab

Abdellah Aarab is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Oncology, having authored 58 papers that have together received 324 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (20 papers), Cutaneous Melanoma Detection and Management (14 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Oncology (131 citations) and Artificial Intelligence (128 citations). Abdellah Aarab has collaborated with scholars based in Morocco and Canada. Frequent co-authors include My Abdelouahed Sabri, Youssef Filali, Ali Yahyaouy, Abdeslam Hmimid, Hamid Tairi, Hassan Qjidaa, Aznul Qalid Md Sabri and Rachid El Alami. Their work appears in journals such as Fuzzy Sets and Systems, Applied Sciences and Multimedia Tools and Applications.

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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