American Mathematical Monthly

13.6k papers and 287.0k indexed citations i.

About

The 13.6k papers published in American Mathematical Monthly in the last decades have received a total of 287.0k indexed citations. Papers published in American Mathematical Monthly usually cover Geometry and Topology (3.2k papers), Computational Theory and Mathematics (2.3k papers) and Theoretical Computer Science (1.5k papers) specifically the topics of Mathematics and Applications (2.3k papers), History and Theory of Mathematics (1.5k papers) and Matrix Theory and Algorithms (579 papers). The most active scholars publishing in American Mathematical Monthly are William Feller, D. Gale, Juliette Florentin, A. T. Bharucha-Reid, Milton Abramowitz, Irene A. Stegun, F. E. J. Linton, W. J. Dixon, Frank J. Massey and William G. Madow.

In The Last Decade

Fields of papers published in American Mathematical Monthly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in American Mathematical Monthly. 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 American Mathematical Monthly.

Countries where authors publish in American Mathematical Monthly

Since Specialization
Citations

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