The NumPy Array: A Structure for Efficient Numerical Computation

6.7k indexed citations

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This paper, published in 2011, received 6.7k indexed citations. Written by Stéfan van der Walt and Gaël Varoquaux covering the research area of Hardware and Architecture and Artificial Intelligence. It is primarily cited by scholars working on Astronomy and Astrophysics (2.9k citations), Instrumentation (842 citations) and Molecular Biology (785 citations). Published in Computing in Science & Engineering.

Countries where authors are citing The NumPy Array: A Structure for Efficient Numerical Computation

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This map shows the geographic impact of The NumPy Array: A Structure for Efficient Numerical Computation. 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 The NumPy Array: A Structure for Efficient Numerical Computation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The NumPy Array: A Structure for Efficient Numerical Computation more than expected).

Fields of papers citing The NumPy Array: A Structure for Efficient Numerical Computation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The NumPy Array: A Structure for Efficient Numerical Computation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The NumPy Array: A Structure for Efficient Numerical Computation.

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/10.1109/mcse.2011.37.

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