Journal of nonparametric statistics

1.3k papers and 13.4k indexed citations i.

About

The 1.3k papers published in Journal of nonparametric statistics in the last decades have received a total of 13.4k indexed citations. Papers published in Journal of nonparametric statistics usually cover Statistics and Probability (1.1k papers), Artificial Intelligence (364 papers) and Finance (189 papers) specifically the topics of Statistical Methods and Inference (898 papers), Advanced Statistical Methods and Models (399 papers) and Statistical Methods and Bayesian Inference (349 papers). The most active scholars publishing in Journal of nonparametric statistics are Yoonsuh Jung, Philippe Vieu, Frédéric Ferraty, Olivier Scaillet, Tarn Duong, Jianhua Hu, Melvin J. Hinich, Martin L. Hazelton, Qiwei Yao and Lijian Yang.

In The Last Decade

Fields of papers published in Journal of nonparametric statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of nonparametric statistics. 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 nonparametric statistics.

Countries where authors publish in Journal of nonparametric statistics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of nonparametric statistics. 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 nonparametric statistics 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 nonparametric statistics 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025