EPJ Quantum Technology

300 papers and 2.7k indexed citations i.

About

The 300 papers published in EPJ Quantum Technology in the last decades have received a total of 2.7k indexed citations. Papers published in EPJ Quantum Technology usually cover Artificial Intelligence (225 papers), Atomic and Molecular Physics, and Optics (209 papers) and Electrical and Electronic Engineering (42 papers) specifically the topics of Quantum Information and Cryptography (201 papers), Quantum Computing Algorithms and Architecture (147 papers) and Quantum Mechanics and Applications (95 papers). The most active scholars publishing in EPJ Quantum Technology are Andreas Wallraff, Christopher Eichler, M. Krelina, Dieter Jaksch, Stephen R. L. Clark, T. H. Johnson, E. Solano, Philipp Kurpiers, Frank J. Bova and Paul Magnard.

In The Last Decade

Fields of papers published in EPJ Quantum Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in EPJ Quantum Technology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in EPJ Quantum Technology.

Countries where authors publish in EPJ Quantum Technology

Since Specialization
Citations

This map shows the geographic impact of research published in EPJ Quantum Technology. 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 papers published in EPJ Quantum Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites EPJ Quantum Technology 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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