Statistical Analysis and Data Mining The ASA Data Science Journal

544 papers and 6.4k indexed citations i.

About

The 544 papers published in Statistical Analysis and Data Mining The ASA Data Science Journal in the last decades have received a total of 6.4k indexed citations. Papers published in Statistical Analysis and Data Mining The ASA Data Science Journal usually cover Artificial Intelligence (279 papers), Statistics and Probability (168 papers) and Computer Vision and Pattern Recognition (79 papers) specifically the topics of Statistical Methods and Inference (89 papers), Advanced Statistical Methods and Models (72 papers) and Bayesian Methods and Mixture Models (62 papers). The most active scholars publishing in Statistical Analysis and Data Mining The ASA Data Science Journal are V. Roshan Joseph, Hemant Ishwaran, Fei Tang, Arthur Zimek, Hans‐Peter Kriegel, Erich Schubert, Innar Liiv, H. K. D. H. Bhadeshia, Lucas Vendramin and Ricardo J. G. B. Campello.

In The Last Decade

Fields of papers published in Statistical Analysis and Data Mining The ASA Data Science Journal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistical Analysis and Data Mining The ASA Data Science Journal. 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 Statistical Analysis and Data Mining The ASA Data Science Journal.

Countries where authors publish in Statistical Analysis and Data Mining The ASA Data Science Journal

Since Specialization
Citations

This map shows the geographic impact of research published in Statistical Analysis and Data Mining The ASA Data Science Journal. 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 Statistical Analysis and Data Mining The ASA Data Science Journal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistical Analysis and Data Mining The ASA Data Science Journal 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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