Journal of Classification

704 papers and 24.8k indexed citations i.

About

The 704 papers published in Journal of Classification in the last decades have received a total of 24.8k indexed citations. Papers published in Journal of Classification usually cover Artificial Intelligence (365 papers), Statistics and Probability (170 papers) and Signal Processing (140 papers) specifically the topics of Advanced Clustering Algorithms Research (154 papers), Bayesian Methods and Mixture Models (148 papers) and Data Management and Algorithms (102 papers). The most active scholars publishing in Journal of Classification are Lawrence J. Hubert, Phipps Arabie, Pierre Legendre, Fionn Murtagh, Gilles Celeux, Gilda Soromenho, F. James Rohlf, W. H. Day, Chris Fraley and Adrian E. Raftery.

In The Last Decade

Fields of papers published in Journal of Classification

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Classification. 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 Classification.

Countries where authors publish in Journal of Classification

Since Specialization
Citations

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