Abuzer Yakaryılmaz

About

Abuzer Yakaryılmaz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Abuzer Yakaryılmaz has authored 35 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 30 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in Abuzer Yakaryılmaz’s work include Quantum Computing Algorithms and Architecture (19 papers), semigroups and automata theory (19 papers) and Machine Learning and Algorithms (16 papers). Abuzer Yakaryılmaz is often cited by papers focused on Quantum Computing Algorithms and Architecture (19 papers), semigroups and automata theory (19 papers) and Machine Learning and Algorithms (16 papers). Abuzer Yakaryılmaz collaborates with scholars based in Latvia, Türkiye and Russia. Abuzer Yakaryılmaz's co-authors include A. C. Cem Say, Andris Ambainis, Kamil Khadiev, Rūsiņš Freivalds, Viliam Geffert, Farid Ablayev, Hüseyin Demirci, Arseny M. Shur, Klaus Reinhardt and Aleksandrs Belovs and has published in prestigious journals such as Theoretical Computer Science, Information and Computation and Quantum Information Processing.

In The Last Decade

Co-authorship network of co-authors of Abuzer Yakaryılmaz i

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Fields of papers citing papers by Abuzer Yakaryılmaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abuzer Yakaryılmaz

Since Specialization

Citations

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