Lukas Mauch

About

Lukas Mauch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lukas Mauch has authored 10 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lukas Mauch’s work include Advanced Neural Network Applications (4 papers), Medical Imaging Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Lukas Mauch is often cited by papers focused on Advanced Neural Network Applications (4 papers), Medical Imaging Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Lukas Mauch collaborates with scholars based in Germany, United States and Taiwan. Lukas Mauch's co-authors include Bin Yang, M. Reuter, Thomas Küstner, Sergios Gatidis, Fritz Schick, Fabian Bamberg, Konstantin Nikolaou, Petros Martirosian, Fabien Cardinaux and Thomas Kemp and has published in prestigious journals such as Journal of the Franklin Institute, IEEE Journal of Selected Topics in Signal Processing and Magnetic Resonance Materials in Physics Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Lukas Mauch i

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Fields of papers citing papers by Lukas Mauch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lukas Mauch

Since Specialization

Citations

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