Sait Ali Uymaz

About

Sait Ali Uymaz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sait Ali Uymaz has authored 14 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sait Ali Uymaz’s work include Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (3 papers). Sait Ali Uymaz is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (3 papers). Sait Ali Uymaz collaborates with scholars based in Türkiye. Sait Ali Uymaz's co-authors include Esra Yel, Gülay Tezel and Mustafa Servet Kıran and has published in prestigious journals such as Applied Soft Computing, Soft Computing and Biosystems.

In The Last Decade

Co-authorship network of co-authors of Sait Ali Uymaz i

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Fields of papers citing papers by Sait Ali Uymaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sait Ali Uymaz. 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 Sait Ali Uymaz. The network helps show where Sait Ali Uymaz may publish in the future.

Countries citing papers authored by Sait Ali Uymaz

Since Specialization

Citations

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