Maximilian Dax

10 papers and 126 indexed citations i.

About

Maximilian Dax is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maximilian Dax has authored 10 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Astronomy and Astrophysics, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maximilian Dax’s work include Pulsars and Gravitational Waves Research (4 papers), Gamma-ray bursts and supernovae (4 papers) and Astrophysical Phenomena and Observations (2 papers). Maximilian Dax is often cited by papers focused on Pulsars and Gravitational Waves Research (4 papers), Gamma-ray bursts and supernovae (4 papers) and Astrophysical Phenomena and Observations (2 papers). Maximilian Dax collaborates with scholars based in Germany, United States and United Kingdom. Maximilian Dax's co-authors include Alessandra Buonanno, Jakob H. Macke, Stephen Green, J. R. Gair, Bernhard Schölkopf, M. Pürrer, Thomas Brox, Bastian Kubis, Chaithanya Kumar Mummadi and Thi Nguyen and has published in prestigious journals such as Nature, Physical Review Letters and Astronomy and Astrophysics.

In The Last Decade

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

Fields of papers citing papers by Maximilian Dax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maximilian Dax

Since Specialization
Citations

This map shows the geographic impact of Maximilian Dax'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 Dax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Dax 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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2025