Yara Rizk

26 total papers · 1.0k total citations
14 papers, 483 citations indexed

About

Yara Rizk is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yara Rizk has authored 14 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yara Rizk’s work include Machine Learning and ELM (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neural Networks and Applications (2 papers). Yara Rizk is often cited by papers focused on Machine Learning and ELM (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neural Networks and Applications (2 papers). Yara Rizk collaborates with scholars based in Lebanon, United States and United Kingdom. Yara Rizk's co-authors include Mariette Awad, Edward Tunstel, Lama Mattar, Hussein F. Hassan, Ali Chalak, Mohamad G. Abiad, Minha Lee, Yelin Kim, Yong Zhao and Hüseyin Çakmak and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and ACM Computing Surveys.

Co-authorship network of co-authors of Yara Rizk

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

Yara Rizk

14 papers receiving 470 citations

Fields of papers citing papers by Yara Rizk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yara Rizk

Since Specialization
Citations

This map shows the geographic impact of Yara Rizk'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 Yara Rizk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yara Rizk 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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2026