Monatshefte für Mathematik

3.6k papers and 25.3k indexed citations

About

The 3.6k papers published in Monatshefte für Mathematik in the last decades have received a total of 25.3k indexed citations. Papers published in Monatshefte für Mathematik usually cover Mathematical Physics (1.3k papers), Applied Mathematics (1.2k papers) and Geometry and Topology (1.2k papers) specifically the topics of Mathematical Dynamics and Fractals (419 papers), Analytic Number Theory Research (378 papers) and Advanced Topics in Algebra (302 papers). The most active scholars publishing in Monatshefte für Mathematik are Harald Niederreiter, Kurt Gödel, Bang‐Yen Chen, Karlheinz Gr�chenig, Hans G. Feichtinger, L. Mirsky, Gert Sabidussi, Wolfgang M. Schmidt, Young Jin Suh and Benjamin Weiss.

In The Last Decade

Monatshefte für Mathematik

2.8k papers receiving 20.9k citations

Countries where authors publish in Monatshefte für Mathematik

Since Specialization
Citations

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

Fields of papers published in Monatshefte für Mathematik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Monatshefte für Mathematik. 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 Monatshefte für Mathematik.

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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