Aziz Ouaarab

592 citations
6 papers · 349 indexed · 1 hit paper · h-index 3
Topics
Metaheuristic Optimization Algorithms Research (3 papers)Vehicle Routing Optimization Methods (2 papers)Medical Image Segmentation Techniques (2 papers)
Journals
Neural Computing and ApplicationsInternational Journal of Imaging Systems and TechnologyTransactions on Machine Learning and Artificial Intelligence

In The Last Decade

Aziz Ouaarab

5 papers receiving 334 citations

Hit Papers

Discrete cuckoo search algorithm for the travelling sales...20132026201720212013100200300

Peers

Aziz Ouaarab
Comparison fields: 5 of 64
  • Artificial Intelligence 194
  • Industrial and Manufacturing Engineering 128
  • Computational Theory and Mathematics 59
  • Computer Vision and Pattern Recognition 53
  • Computer Networks and Communications 45
Replace A. J. Umbarkar with:
A. J. Umbarkar India
Abdesslem Layeb Algeria
Esther Villar-Rodríguez Spain
Mohammed Essaid Riffi Morocco
Quentin Cappart Canada
Cheng-Fa Tsai Taiwan
Sasan Harifi Iran
Cyril Fonlupt France
Noor Aldeen Alawad Jordan
Aziz Ouaarab relative to A. J. Umbarkar India A. J. Umbarkar's profile →
Citations per field
00.5×1.5×2.3×
A. J. Umbarkar · 1×
Citations per year

Countries citing papers authored by Aziz Ouaarab

Since Specialization
Citations

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

Fields of papers citing papers by Aziz Ouaarab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aziz Ouaarab

This figure shows the co-authorship network connecting the top 25 collaborators of Aziz Ouaarab. A scholar is included among the top collaborators of Aziz Ouaarab 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 Aziz Ouaarab. Aziz Ouaarab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 1
5 17
6
Discrete cuckoo search algorithm for the travelling salesman problembreakdown →
327

About Aziz Ouaarab

Aziz Ouaarab is a scholar working on Industrial and Manufacturing Engineering, Neurology and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 349 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Vehicle Routing Optimization Methods (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (128 citations), Artificial Intelligence (194 citations) and Computational Theory and Mathematics (59 citations). Aziz Ouaarab has collaborated with scholars based in Morocco, United Kingdom and Malta. Frequent co-authors include Belaïd Ahiod and Xin‐She Yang. Their work appears in journals such as Neural Computing and Applications, International Journal of Imaging Systems and Technology and Transactions on Machine Learning and Artificial Intelligence.

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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