Amal Rannen Triki

About

Amal Rannen Triki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Amal Rannen Triki has authored 4 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Biomedical Engineering. Recurrent topics in Amal Rannen Triki’s work include Advanced Neural Network Applications (2 papers), Machine Learning and Algorithms (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Amal Rannen Triki is often cited by papers focused on Advanced Neural Network Applications (2 papers), Machine Learning and Algorithms (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Amal Rannen Triki collaborates with scholars based in Belgium and South Korea. Amal Rannen Triki's co-authors include Matthew B. Blaschko, Maxim Berman, Christos Sagonas, Chulmin Joo, Seungri Song and Yoon Mo Jung and has published in prestigious journals such as Computerized Medical Imaging and Graphics, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Lirias (KU Leuven).

In The Last Decade

Co-authorship network of co-authors of Amal Rannen Triki i

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Fields of papers citing papers by Amal Rannen Triki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amal Rannen Triki. 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 Amal Rannen Triki. The network helps show where Amal Rannen Triki may publish in the future.

Countries citing papers authored by Amal Rannen Triki

Since Specialization

Citations

This map shows the geographic impact of Amal Rannen Triki'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 Amal Rannen Triki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amal Rannen Triki 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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