Wes McKinney is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems.
According to data from OpenAlex, Wes McKinney has authored 9 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Wes McKinney's work include Computational Physics and Python Applications (6 papers), Advanced Database Systems and Queries (2 papers) and Complex Systems and Time Series Analysis (1 paper). Wes McKinney is often cited by papers focused on Computational Physics and Python Applications (6 papers), Advanced Database Systems and Queries (2 papers) and Complex Systems and Time Series Analysis (1 paper). Wes McKinney collaborates with scholars based in United States and Finland. Wes McKinney's co-authors include Josef Perktold, Skipper Seabold, Andrew Pavlo, Konstantinos Karanasos, Mohamed Zaït and Orri Erling and has published in prestigious journals such as Proceedings of the VLDB Endowment, CERN Document Server (European Organization for Nuclear Research) and Proceedings of the Python in Science Conferences.
In The Last Decade
Wes McKinney
9 papers
receiving
7.1k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Data Structures for Statistical Computing in Python
20106.3k citationsWes McKinneyProceedings of the Python in Science Conferencesprofile →
pandas: a Foundational Python Library for Data Analysis and Statistics
This map shows the geographic impact of Wes McKinney's research. 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 Wes McKinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wes McKinney more than expected).
This network shows the impact of papers produced by Wes McKinney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wes McKinney. The network helps show where Wes McKinney may publish in the future.
Co-authorship network of co-authors of Wes McKinney
This figure shows the co-authorship network connecting the top 25 collaborators of Wes McKinney.
A scholar is included among the top collaborators of Wes McKinney based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Wes McKinney. Wes McKinney is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Data Structures for Statistical Computing in Python breakdown →
2010·Proceedings of the Python in Science Conferences·Wes McKinney
6251
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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