Algebra & Number Theory

641 papers and 3.6k indexed citations

About

The 641 papers published in Algebra & Number Theory in the last decades have received a total of 3.6k indexed citations. Papers published in Algebra & Number Theory usually cover Geometry and Topology (547 papers), Mathematical Physics (390 papers) and Algebra and Number Theory (281 papers) specifically the topics of Algebraic Geometry and Number Theory (424 papers), Advanced Algebra and Geometry (307 papers) and Algebraic structures and combinatorial models (170 papers). The most active scholars publishing in Algebra & Number Theory are Matthew Baker, Michael Stoll, Karl Schwede, Ronald van Luijk, Kai Behrend, Barbara Fantechi, Samir Siksek, Yifeng Liu, Alexander Merkurjev and Emanuele Macrì.

In The Last Decade

Algebra & Number Theory

532 papers receiving 3.2k citations

Fields of papers published in Algebra & Number Theory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Algebra & Number Theory. 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 Algebra & Number Theory.

Countries where authors publish in Algebra & Number Theory

Since Specialization
Citations

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