Andreas Münch

1.6k citations
67 papers · 1.2k · h-index 20

Impact in

Papers in

    • Fluid Dynamics and Thin Films 47
    • Fluid Dynamics and Turbulent Flows 9
    • Fluid Dynamics and Heat Transfer 7
    • Solidification and crystal growth phenomena 17
    • Block Copolymer Self-Assembly 11

Andreas Münch

64 papers receiving 1.1k citations

Peers

Andreas Münch
Comparison fields: 5 of 66
  • Computational Mechanics 935
  • Fluid Flow and Transfer Processes 211
  • Surfaces, Coatings and Films 232
  • Materials Chemistry 408
  • Applied Mathematics 71
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Münch

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Münch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Münch, 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 Andreas Münch Line = papers co-authored together Andreas Münch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999126
2 200595
3 200582
4 200552
5 200149
6 201140
7 201438
8 200535
9 200734
10 201634
11 200534
12 201933
13 200827
14 200527
15 200726
16
Degenerate mobilities in phase field models are insufficient to capture surface diffusion
201524
17 200621
18 201220
19 199920
20 201719

About Andreas Münch

Andreas Münch is a scholar working on Computational Mechanics, Materials Chemistry, Mechanical Engineering, Fluid Flow and Transfer Processes and Atmospheric Science, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (47 papers), Solidification and crystal growth phenomena (17 papers), Rheology and Fluid Dynamics Studies (13 papers), Block Copolymer Self-Assembly (11 papers), Heat Transfer and Boiling Studies (11 papers), Fluid Dynamics and Turbulent Flows (9 papers), nanoparticles nucleation surface interactions (9 papers) and Fluid Dynamics and Heat Transfer (7 papers). The work is most often cited by research in Computational Mechanics (935 citations), Fluid Flow and Transfer Processes (211 citations), Surfaces, Coatings and Films (232 citations), Materials Chemistry (408 citations) and Applied Mathematics (71 citations). Andreas Münch has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Barbara Wagner, Andrea L. Bertozzi, Michael Shearer, Thomas P. Witelski, Karin Jacobs, Ralf Blossey, Markus Rauscher, Renate Fetzer, Paul Evans and Dirk Peschka. Their work appears in journals such as SIAM Journal on Applied Mathematics, Nonlinearity, European Journal of Applied Mathematics, Physical Review Letters and Journal of Engineering Mathematics.

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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