Pavel Sekatski

About

Pavel Sekatski is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Pavel Sekatski has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Atomic and Molecular Physics, and Optics, 86 papers in Artificial Intelligence and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Pavel Sekatski’s work include Quantum Information and Cryptography (85 papers), Quantum Mechanics and Applications (77 papers) and Quantum Computing Algorithms and Architecture (43 papers). Pavel Sekatski is often cited by papers focused on Quantum Information and Cryptography (85 papers), Quantum Mechanics and Applications (77 papers) and Quantum Computing Algorithms and Architecture (43 papers). Pavel Sekatski collaborates with scholars based in Switzerland, Austria and France. Pavel Sekatski's co-authors include Nicolas Sangouard, Wolfgang Dür, Nicolas Gisin, Jean-Daniel Bancal, Florian Fröwis, Michael Skotiniotis, Christoph Simon, Rafał Demkowicz-Dobrzański, Jan Kołodyński and Nicolas Brunner and has published in prestigious journals such as Nature, Physical Review Letters and Reviews of Modern Physics.

In The Last Decade

Co-authorship network of co-authors of Pavel Sekatski i

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Fields of papers citing papers by Pavel Sekatski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Sekatski

Since Specialization

Citations

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