Quantum Information Processing

4.3k papers and 51.4k indexed citations i.

About

The 4.3k papers published in Quantum Information Processing in the last decades have received a total of 51.4k indexed citations. Papers published in Quantum Information Processing usually cover Artificial Intelligence (4.0k papers), Atomic and Molecular Physics, and Optics (3.1k papers) and Computational Theory and Mathematics (731 papers) specifically the topics of Quantum Information and Cryptography (3.6k papers), Quantum Computing Algorithms and Architecture (3.1k papers) and Quantum Mechanics and Applications (2.1k papers). The most active scholars publishing in Quantum Information Processing are Salvador E. Venegas-Andraca, Tzonelih Hwang, Norio Konno, Vicky Choi, Anirban Pathak, Nan Jiang, Yuriy Makhlin, Yu‐Guang Yang, John M. Martinis and Chun‐Wei Yang.

In The Last Decade

Fields of papers published in Quantum Information Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Quantum Information Processing. 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 Quantum Information Processing.

Countries where authors publish in Quantum Information Processing

Since Specialization
Citations

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