Sinem Binicioǧlu

About

Sinem Binicioǧlu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Industrial relations. According to data from OpenAlex, Sinem Binicioǧlu has authored 3 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 0 papers in Industrial relations. Recurrent topics in Sinem Binicioǧlu’s work include Quantum Information and Cryptography (3 papers), Quantum Computing Algorithms and Architecture (2 papers) and Quantum Mechanics and Applications (2 papers). Sinem Binicioǧlu is often cited by papers focused on Quantum Information and Cryptography (3 papers), Quantum Computing Algorithms and Architecture (2 papers) and Quantum Mechanics and Applications (2 papers). Sinem Binicioǧlu collaborates with scholars based in Türkiye and United States. Sinem Binicioǧlu's co-authors include Alexander A. Klyachko, A.S. Shumovsky and M. Ali Can and has published in prestigious journals such as Physical Review Letters, Foundations of Physics and International Journal of Quantum Information.

In The Last Decade

Co-authorship network of co-authors of Sinem Binicioǧlu i

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Fields of papers citing papers by Sinem Binicioǧlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sinem Binicioǧlu

Since Specialization

Citations

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