Michael Steinlechner

About

Michael Steinlechner is a scholar working on Computational Mathematics, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Michael Steinlechner has authored 4 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mathematics, 2 papers in Computational Mechanics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Michael Steinlechner’s work include Tensor decomposition and applications (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Matrix Theory and Algorithms (2 papers). Michael Steinlechner is often cited by papers focused on Tensor decomposition and applications (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Matrix Theory and Algorithms (2 papers). Michael Steinlechner collaborates with scholars based in Switzerland and United States. Michael Steinlechner's co-authors include Daniel Kreßner, Bart Vandereycken and André Uschmajew and has published in prestigious journals such as SIAM Journal on Scientific Computing and BIT Numerical Mathematics.

In The Last Decade

Co-authorship network of co-authors of Michael Steinlechner i

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Fields of papers citing papers by Michael Steinlechner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Steinlechner. 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 Michael Steinlechner. The network helps show where Michael Steinlechner may publish in the future.

Countries citing papers authored by Michael Steinlechner

Since Specialization

Citations

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