Martin Bauer

2.0k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Martin Bauer is a scholar working on Geometry and Topology, Applied Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Martin Bauer has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Geometry and Topology, 18 papers in Applied Mathematics and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Martin Bauer's work include Geometric Analysis and Curvature Flows (18 papers), Morphological variations and asymmetry (16 papers) and Geometry and complex manifolds (10 papers). Martin Bauer is often cited by papers focused on Geometric Analysis and Curvature Flows (18 papers), Morphological variations and asymmetry (16 papers) and Geometry and complex manifolds (10 papers). Martin Bauer collaborates with scholars based in United States, Austria and United Kingdom. Martin Bauer's co-authors include George Gaskell, Peter W. Michor, Martins Bruveris, Philipp Harms, Stephen C. Preston, Boris Kolev, Eric Klassen, Nicolas Charon, Joachim Escher and Zhe Su and has published in prestigious journals such as Journal of Neuroscience, The Journal of Physiology and International Journal of Computer Vision.

In The Last Decade

Martin Bauer

38 papers receiving 1.0k citations

Hit Papers

Qualitative Researching with Text, Image and Sound 2000 2026 2008 2017 2000 250 500 750

Peers

Martin Bauer
Comparison fields: 5 of 155
  • Sociology and Political Science 289
  • Education 137
  • Geometry and Topology 126
  • Social Psychology 117
  • General Health Professions 112
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Citations per field, relative to Martin Bauer
Martin Bauer · 1×
Citations per year, relative to Martin Bauer
Martin Bauer · 1×

Countries citing papers authored by Martin Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Martin Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Bauer

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 1
6 0
7 12
8 4
9 3
10 3
11 11
12 6
13
Fractional Sobolev metrics on spaces of immersed curves
2
14 3
15 12
16 6
17 11
18
The KdV-equation has vanishing geodesic distance
1
19
Sobolev metrics on shape space of surfaces in n-space
4
20
Qualitative Researching with Text, Image and Sound breakdown →
876

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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