Communications in Mathematics and Statistics

308 papers and 2.5k indexed citations i.

About

The 308 papers published in Communications in Mathematics and Statistics in the last decades have received a total of 2.5k indexed citations. Papers published in Communications in Mathematics and Statistics usually cover Statistics and Probability (77 papers), Applied Mathematics (67 papers) and Mathematical Physics (65 papers) specifically the topics of Stochastic processes and financial applications (33 papers), Optimal Transport in Geometry and Analysis (29 papers) and Statistical Methods and Inference (28 papers). The most active scholars publishing in Communications in Mathematics and Statistics are E Weinan, Bing Yu, Arnulf Jentzen, Jiequn Han, Alexander N. Skiba, Zhang Li, Mokhtar Hafayed, Xicheng Zhang, В. А. Артамонов and Savin Treanţă.

In The Last Decade

Fields of papers published in Communications in Mathematics and Statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Communications in Mathematics and 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 Communications in Mathematics and Statistics.

Countries where authors publish in Communications in Mathematics and Statistics

Since Specialization
Citations

This map shows the geographic impact of research published in Communications in Mathematics and 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 Communications in Mathematics and Statistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Communications in Mathematics and 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.

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2025