Markus Grasmair

34 papers and 1.0k indexed citations i.

About

Markus Grasmair is a scholar working on Mathematical Physics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Markus Grasmair has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mathematical Physics, 18 papers in Computational Mechanics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Markus Grasmair’s work include Inverse Problems in Mathematical Physics and Imaging (19 papers), Sparse and Compressive Sensing Techniques (15 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Markus Grasmair is often cited by papers focused on Inverse Problems in Mathematical Physics and Imaging (19 papers), Sparse and Compressive Sensing Techniques (15 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Markus Grasmair collaborates with scholars based in Austria, Norway and Germany. Markus Grasmair's co-authors include Otmar Scherzer, Markus Haltmeier, Frank Lenzen, Harald Grossauer, Ferdinand von Eggeling, Peter Maaß, Michael Becker, Sören‐Oliver Deininger, Günther Ernst and Theodore Alexandrov and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and Communications on Pure and Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of Markus Grasmair i

Fields of papers citing papers by Markus Grasmair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Markus Grasmair

Since Specialization
Citations

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