Maximilian Dax

832 total citations
12 papers, 164 citations indexed

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 12 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 6 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 (5 papers), Gamma-ray bursts and supernovae (3 papers) and Atomic and Subatomic Physics Research (2 papers). Maximilian Dax is often cited by papers focused on Pulsars and Gravitational Waves Research (5 papers), Gamma-ray bursts and supernovae (3 papers) and Atomic and Subatomic Physics Research (2 papers). Maximilian Dax collaborates with scholars based in Germany, United States and United Kingdom. Maximilian Dax's co-authors include Bernhard Schölkopf, Alessandra Buonanno, Jakob H. Macke, Stephen Green, M. Pürrer, J. R. Gair, Thomas Brox, Zhongyu Lou, Tam Ngoc Nguyen and Thi Nguyen and has published in prestigious journals such as Nature, Physical Review Letters and Science Advances.

In The Last Decade

Maximilian Dax

10 papers receiving 153 citations

Peers

Maximilian Dax
Comparison fields: 5 of 37
  • Astronomy and Astrophysics 89
  • Computer Vision and Pattern Recognition 40
  • Artificial Intelligence 35
  • Oceanography 26
  • Geophysics 17
Replace Varun Srivastava with:
Varun Srivastava United States
C. J. Díaz Baso Sweden
Robert Jarolim Austria
Valentina V. Zharkova United Kingdom
A. Pastor Yabar Spain
X. Bonnin France
B. Steltner Germany
Paolo Massa United States
M. Nguyen Sweden
Andrea Francesco Battaglia Switzerland
Varun Srivastava United States View profile →
Citations per field, relative to Maximilian Dax
Maximilian Dax · 1×
Citations per year, relative to Maximilian Dax
Maximilian Dax · 1×

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).

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.

Co-authorship network of co-authors of Maximilian Dax

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Dax. A scholar is included among the top collaborators of Maximilian Dax 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 Maximilian Dax. Maximilian Dax is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 4
2 14
3 0
4 1
5 0
6 3
7 69
8 15
9 7
10 8
11
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision
38
12 5

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026