Peter Maaß

122 papers and 3.1k indexed citations i.

About

Peter Maaß is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Peter Maaß has authored 122 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mathematical Physics, 32 papers in Computer Vision and Pattern Recognition and 28 papers in Biomedical Engineering. Recurrent topics in Peter Maaß’s work include Inverse Problems in Mathematical Physics and Imaging (34 papers), Image and Signal Denoising Methods (24 papers) and Mass Spectrometry Techniques and Applications (17 papers). Peter Maaß is often cited by papers focused on Inverse Problems in Mathematical Physics and Imaging (34 papers), Image and Signal Denoising Methods (24 papers) and Mass Spectrometry Techniques and Applications (17 papers). Peter Maaß collaborates with scholars based in Germany, United States and United Kingdom. Peter Maaß's co-authors include Bangti Jin, Carola‐Bibiane Schönlieb, Ozan Öktem, Simon Arridge, Theodore Alexandrov, Alfred K. Louis, Herbert Thiele, Stephan Dahlke, Hamid Reza Karimi and Dirk A. Lorenz and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Bioinformatics and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Peter Maaß i

Fields of papers citing papers by Peter Maaß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Maaß

Since Specialization
Citations

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