Axel Munk

5.7k citations
167 papers · 3.2k · h-index 32

Impact in

Papers in

Axel Munk

160 papers receiving 3.0k citations

Peers

Axel Munk
Comparison fields: 5 of 174
  • Statistics and Probability 1.4k
  • Structural Biology 71
  • Biophysics 219
  • Statistics, Probability and Uncertainty 229
  • Management Science and Operations Research 369
Replace Robert M. Corless with:
Robert M. Corless Canada
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Citations per field
00.5×11.5×
Robert M. Corless · 1×
Citations per year

Countries citing papers authored by Axel Munk

Since Specialization
Citations

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

Fields of papers citing papers by Axel Munk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Axel Munk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Axel Munk Line = papers co-authored together Axel Munk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997184
2 2014173
3 2007114
4 1998105
5 201491
6 199886
7 200885
8
INTRINSIC SHAPE ANALYSIS: GEODESIC PCA FOR RIEMANNIAN MANIFOLDS MODULO ISOMETRIC LIE GROUP ACTIONS
200780
9 201772
10 200668
11 200661
12 201561
13 200460
14 199759
15 199857
16 200754
17 199852
18 200852
19 200452
20 199851

About Axel Munk

Axel Munk is a scholar working on Statistics and Probability, Management Science and Operations Research, Applied Mathematics, Molecular Biology and Mathematical Physics, having authored 167 papers that have together received 3.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (44 papers), Statistical Methods in Clinical Trials (27 papers), Optimal Experimental Design Methods (23 papers), Advanced Statistical Methods and Models (19 papers), Numerical methods in inverse problems (14 papers), Sparse and Compressive Sensing Techniques (13 papers), Advanced Fluorescence Microscopy Techniques (13 papers) and Statistical and numerical algorithms (12 papers). The work is most often cited by research in Statistics and Probability (1.4k citations), Structural Biology (71 citations), Biophysics (219 citations), Statistics, Probability and Uncertainty (229 citations) and Management Science and Operations Research (369 citations). Axel Munk has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Holger Dette, Nicolai Bissantz, Klaus Frick, Edgar Brunner, Stephan Huckemann, Hannes Sieling, Hajo Holzmann, Thomas Hotz, Thorsten Hohage and Claudia Czado. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology), The Annals of Statistics, Scandinavian Journal of Statistics and Biometrika.

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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