V. Uğur Güney

About

V. Uğur Güney is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, V. Uğur Güney has authored 5 papers receiving a total of 35 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 2 papers in Computational Theory and Mathematics. Recurrent topics in V. Uğur Güney’s work include Quantum Mechanics and Applications (3 papers), Quantum Information and Cryptography (2 papers) and Philosophy and History of Science (2 papers). V. Uğur Güney is often cited by papers focused on Quantum Mechanics and Applications (3 papers), Quantum Information and Cryptography (2 papers) and Philosophy and History of Science (2 papers). V. Uğur Güney collaborates with scholars based in United States and Israel. V. Uğur Güney's co-authors include Mark Hillery, Léon Bottou, Levent Sagun, Utku Evci, Yann Dauphin, Gérard Ben Arous and Yann LeCun and has published in prestigious journals such as Physical Review A, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of V. Uğur Güney i

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Fields of papers citing papers by V. Uğur Güney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Uğur Güney. 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 V. Uğur Güney. The network helps show where V. Uğur Güney may publish in the future.

Countries citing papers authored by V. Uğur Güney

Since Specialization

Citations

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