Patrick Huembeli

14 papers and 292 indexed citations i.

About

Patrick Huembeli is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Patrick Huembeli has authored 14 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Atomic and Molecular Physics, and Optics and 5 papers in Materials Chemistry. Recurrent topics in Patrick Huembeli’s work include Quantum many-body systems (8 papers), Quantum Computing Algorithms and Architecture (7 papers) and Machine Learning in Materials Science (5 papers). Patrick Huembeli is often cited by papers focused on Quantum many-body systems (8 papers), Quantum Computing Algorithms and Architecture (7 papers) and Machine Learning in Materials Science (5 papers). Patrick Huembeli collaborates with scholars based in Spain, Switzerland and United States. Patrick Huembeli's co-authors include Alexandre Dauphin, Péter Wittek, Maciej Lewenstein, Korbinian Kottmann, Antonio Acín, Christian Gogolin, Michał Tomza, Juan Miguel Arrazola, Masoud Mohseni and Nathan Killoran and has published in prestigious journals such as Physical Review Letters, New Journal of Physics and Physical review. B..

In The Last Decade

Co-authorship network of co-authors of Patrick Huembeli i

Fields of papers citing papers by Patrick Huembeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patrick Huembeli

Since Specialization
Citations

This map shows the geographic impact of Patrick Huembeli'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 Patrick Huembeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Huembeli 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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2025