Journal of Statistical Planning and Inference

6.5k papers and 89.2k indexed citations i.

About

The 6.5k papers published in Journal of Statistical Planning and Inference in the last decades have received a total of 89.2k indexed citations. Papers published in Journal of Statistical Planning and Inference usually cover Statistics and Probability (4.3k papers), Management Science and Operations Research (2.0k papers) and Artificial Intelligence (1.5k papers) specifically the topics of Statistical Methods and Inference (2.1k papers), Optimal Experimental Design Methods (1.5k papers) and Advanced Statistical Methods and Models (1.4k papers). The most active scholars publishing in Journal of Statistical Planning and Inference are Bernhard Flury, Norman R. Draper, Hidetoshi Shimodaira, N. Balakrishnan, Udo Kamps, Jeong‐Soo Park, Debasis Kundu, Max D. Morris, Toby J. Mitchell and Daijin Ko.

In The Last Decade

Fields of papers published in Journal of Statistical Planning and Inference

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Statistical Planning and Inference. 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 Journal of Statistical Planning and Inference.

Countries where authors publish in Journal of Statistical Planning and Inference

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Statistical Planning and Inference. 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 Journal of Statistical Planning and Inference with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Statistical Planning and Inference 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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2025