Martin Höller

32 papers and 601 indexed citations i.

About

Martin Höller is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Martin Höller has authored 32 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Martin Höller’s work include Sparse and Compressive Sensing Techniques (12 papers), Inverse Problems in Mathematical Physics and Imaging (11 papers) and Medical Imaging Techniques and Applications (10 papers). Martin Höller is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Inverse Problems in Mathematical Physics and Imaging (11 papers) and Medical Imaging Techniques and Applications (10 papers). Martin Höller collaborates with scholars based in Austria, Germany and United States. Martin Höller's co-authors include Kristian Bredies, Florian Knöll, Karl Kunisch, Thomas Koesters, Daniel K. Sodickson, Ricardo Otazo, Rudolf Stollberger, Thomas Pock, Georg Schramm and Antonin Chambolle and has published in prestigious journals such as Nanoscale, IEEE Transactions on Image Processing and Magnetic Resonance in Medicine.

In The Last Decade

Co-authorship network of co-authors of Martin Höller i

Fields of papers citing papers by Martin Höller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Höller

Since Specialization
Citations

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