Hamza Fawzi

33 papers and 1.1k indexed citations i.

About

Hamza Fawzi is a scholar working on Numerical Analysis, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Hamza Fawzi has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Numerical Analysis, 14 papers in Computational Mechanics and 13 papers in Artificial Intelligence. Recurrent topics in Hamza Fawzi’s work include Advanced Optimization Algorithms Research (17 papers), Sparse and Compressive Sensing Techniques (14 papers) and Quantum Computing Algorithms and Architecture (10 papers). Hamza Fawzi is often cited by papers focused on Advanced Optimization Algorithms Research (17 papers), Sparse and Compressive Sensing Techniques (14 papers) and Quantum Computing Algorithms and Architecture (10 papers). Hamza Fawzi collaborates with scholars based in United Kingdom, United States and Australia. Hamza Fawzi's co-authors include Paulo Tabuada, Suhas Diggavi, Omar Fawzi, Pablo A. Parrilo, James Saunderson, Kun Fang, João Gouveia, Rekha R. Thomas, Mohab Safey El Din and Harry Goulbourne and has published in prestigious journals such as Nature Communications, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Hamza Fawzi i

Fields of papers citing papers by Hamza Fawzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hamza Fawzi

Since Specialization
Citations

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