Åke Pleijel

About

Åke Pleijel is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Åke Pleijel has authored 8 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Mathematical Physics, 2 papers in Computational Theory and Mathematics and 1 paper in Civil and Structural Engineering. Recurrent topics in Åke Pleijel’s work include Spectral Theory in Mathematical Physics (3 papers), Numerical methods in inverse problems (1 paper) and Matrix Theory and Algorithms (1 paper). Åke Pleijel is often cited by papers focused on Spectral Theory in Mathematical Physics (3 papers), Numerical methods in inverse problems (1 paper) and Matrix Theory and Algorithms (1 paper). Åke Pleijel collaborates with scholars based in Sweden and Canada. Åke Pleijel's co-authors include and and has published in prestigious journals such as Acta Mathematica, Israel Journal of Mathematics and Arkiv för matematik.

In The Last Decade

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Fields of papers citing papers by Åke Pleijel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Åke Pleijel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Åke Pleijel. The network helps show where Åke Pleijel may publish in the future.

Countries citing papers authored by Åke Pleijel

Since Specialization

Citations

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