1.1k indexed citations
published 2020
Journal
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)

In The Last Decade

doi.org/w56582380 →

Countries where authors are citing

Specialization
Citations

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

Fields of papers citing

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About

This paper, published in 2020, received 1.1k indexed citations . Written by Stefano Pirandola, Ulrik L. Andersen, Leonardo Banchi, Mario Berta, Darius Bunandar, Roger Colbeck, Dirk Englund, Tobias Gehring, Cosmo Lupo and Carlo Ottaviani covering the research area of Artificial Intelligence and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Artificial Intelligence (1.0k citations), Atomic and Molecular Physics, and Optics (827 citations), Electrical and Electronic Engineering (182 citations), Computational Theory and Mathematics (53 citations) and Biomedical Engineering (45 citations). Published in White Rose Research Online (University of Leeds, The University of Sheffield, University of York).

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/w56582380.

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