Superconducting Qubits: Current State of Play

844 indexed citations
published 2020
Journal
DSpace@MIT (Massachusetts Institute of Technology)

In The Last Decade

doi.org/w22697403 →

Countries where authors are citing Superconducting Qubits: Current State of Play

Specialization
Citations

This map shows the geographic impact of Superconducting Qubits: Current State of Play. 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 Superconducting Qubits: Current State of Play with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Superconducting Qubits: Current State of Play more than expected).

Fields of papers citing Superconducting Qubits: Current State of Play

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Superconducting Qubits: Current State of Play. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Superconducting Qubits: Current State of Play.

About Superconducting Qubits: Current State of Play

This paper, published in 2020, received 844 indexed citations . Written by Morten Kjærgaard, Mollie E. Schwartz, Jochen Braumüller, Philip Krantz, Simon Gustavsson and William D. Oliver covering the research area of Artificial Intelligence and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (660 citations), Artificial Intelligence (621 citations), Electrical and Electronic Engineering (116 citations), Condensed Matter Physics (100 citations) and Materials Chemistry (56 citations). Published in DSpace@MIT (Massachusetts Institute of Technology).

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.

This paper is also available at doi.org/w22697403.

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