The Mathematical Intelligencer

1.6k papers and 16.9k indexed citations i.

About

The 1.6k papers published in The Mathematical Intelligencer in the last decades have received a total of 16.9k indexed citations. Papers published in The Mathematical Intelligencer usually cover Theoretical Computer Science (260 papers), Geometry and Topology (248 papers) and Computational Theory and Mathematics (156 papers) specifically the topics of History and Theory of Mathematics (260 papers), Mathematics and Applications (175 papers) and Computability, Logic, AI Algorithms (43 papers). The most active scholars publishing in The Mathematical Intelligencer are E. T. Jaynes, James Franklin, Steve Smale, Shreeram S. Abhyankar, Arno B. J. Kuijlaars, Edward B. Saff, Terry Lyons, Roger Penrose, Peter D. Lax and Pablo Fernández.

In The Last Decade

Fields of papers published in The Mathematical Intelligencer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in The Mathematical Intelligencer. 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 The Mathematical Intelligencer.

Countries where authors publish in The Mathematical Intelligencer

Since Specialization
Citations

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