Historia Mathematica

1.2k papers and 6.5k indexed citations i.

About

The 1.2k papers published in Historia Mathematica in the last decades have received a total of 6.5k indexed citations. Papers published in Historia Mathematica usually cover Theoretical Computer Science (677 papers), History and Philosophy of Science (308 papers) and Anthropology (209 papers) specifically the topics of History and Theory of Mathematics (677 papers), Historical and Literary Studies (199 papers) and Mathematics and Applications (151 papers). The most active scholars publishing in Historia Mathematica are Diana Crane, Bertram Ross, I. Grattan‐Guinness, Garrett Birkhoff, Hilary Putnam, Steven H. Schot, Thomas Hawkins, Gregory Moore, Tilman Sauer and J. L. Berggren.

In The Last Decade

Fields of papers published in Historia Mathematica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Historia Mathematica. 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 Historia Mathematica.

Countries where authors publish in Historia Mathematica

Since Specialization
Citations

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