Amir Nakib

69 papers and 903 indexed citations i.

About

Amir Nakib is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Amir Nakib has authored 69 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Amir Nakib’s work include Medical Image Segmentation Techniques (15 papers), Advanced Neural Network Applications (12 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Amir Nakib is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Advanced Neural Network Applications (12 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Amir Nakib collaborates with scholars based in France, United States and Ireland. Amir Nakib's co-authors include James H. Moller, Jesse E. Edwards, Patrick Siarry, Hamouche Oulhadj, Ray C. Anderson, Vladimir Kanjuh, Enrique Alba, Boubaker Daâchi, Patrick Siarry and Raphaël Blanc and has published in prestigious journals such as Circulation, The American Journal of Cardiology and The Journal of Pediatrics.

In The Last Decade

Co-authorship network of co-authors of Amir Nakib i

Fields of papers citing papers by Amir Nakib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amir Nakib

Since Specialization
Citations

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

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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2025