Maximilian Alber

13 papers and 189 indexed citations i.

About

Maximilian Alber is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maximilian Alber has authored 13 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maximilian Alber’s work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Neural Networks and Applications (2 papers). Maximilian Alber is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Neural Networks and Applications (2 papers). Maximilian Alber collaborates with scholars based in Germany, United States and South Korea. Maximilian Alber's co-authors include Grégoire Montavon, Klaus‐Robert Müller, Wojciech Samek, Philipp Seegerer, Sven Dähne, Frederick Klauschen, Miriam Hägele, Kristof T. Schütt, K. Müller and Sebastian Lapuschkin and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Maximilian Alber i

Fields of papers citing papers by Maximilian Alber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maximilian Alber

Since Specialization
Citations

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