Andreas Maier

409 total citations
3 papers, 269 citations indexed

About

Andreas Maier is a scholar working on Radiology, Nuclear Medicine and Imaging, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Andreas Maier has authored 3 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Andreas Maier's work include Advanced MRI Techniques and Applications (2 papers), Medical Imaging Techniques and Applications (2 papers) and Optical Imaging and Spectroscopy Techniques (1 paper). Andreas Maier is often cited by papers focused on Advanced MRI Techniques and Applications (2 papers), Medical Imaging Techniques and Applications (2 papers) and Optical Imaging and Spectroscopy Techniques (1 paper). Andreas Maier collaborates with scholars based in Germany. Andreas Maier's co-authors include Christian Jaremenko, Marc Aubreville, Joachim Denzler, Christopher Bohr, Christian Knipfer, Helmut Neumann, Nicolai Oetter, Erik Rodner, Florian Stelzle and Tobias Würfl and has published in prestigious journals such as Scientific Reports, Computers in Biology and Medicine and Studies in health technology and informatics.

In The Last Decade

Andreas Maier

3 papers receiving 257 citations

Peers

Andreas Maier
Ross D. Uthoff United States
Lun M. Wong Hong Kong
Maysam Shahedi United States
Vasant Kearney United States
Peter Kuess Austria
Nuo Tong China
Andreas Maier
Citations per year, relative to Andreas Maier Andreas Maier (= 1×) peers Trupti Kolur

Countries citing papers authored by Andreas Maier

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Maier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Maier

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Maier. A scholar is included among the top collaborators of Andreas Maier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas Maier. Andreas Maier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Birkhold, Annette, Fabian Wagner, Mareike Thies, et al.. (2024). Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction. Computers in Biology and Medicine. 182. 109178–109178. 1 indexed citations
2.
Aubreville, Marc, Christian Knipfer, Nicolai Oetter, et al.. (2017). Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. Scientific Reports. 7(1). 11979–11979. 214 indexed citations
3.
Körzdörfer, Gregor, et al.. (2017). Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series. Studies in health technology and informatics. 243. 202–206. 54 indexed citations

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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