Daniel M. Mueth
Impact in
- Computational Mechanics top 2%
- Granular flow and fluidized beds
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- Landslides and related hazards
Papers in
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- Granular flow and fluidized beds 4
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- Theoretical and Computational Physics 2
- Co-authors
- Heinrich M. Jaeger (3 shared papers)Sidney R. Nagel (1 shared paper)David G. Grier (3 shared papers)Christophe Josserand (1 shared paper)Alexei V. Tkachenko (1 shared paper)Benjamin E. Lauderdale (1 shared paper)Evan C. Tanner (2 shared papers)John C. Crocker (1 shared paper)
- Journals
- Physical Review Letters (2 papers)Optics Express (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (4 papers)
- Partner nations
- United States
In The Last Decade
Daniel M. Mueth
7 papers receiving 862 citations
Daniel M. Mueth's Hit Papers
Peers
Comparison fields: 5 of 75
- Computational Mechanics 599
- Management, Monitoring, Policy and Law 220
- Materials Chemistry 378
- Civil and Structural Engineering 171
- Condensed Matter Physics 89
Countries citing papers authored by Daniel M. Mueth
This map shows the geographic impact of Daniel M. Mueth'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 Daniel M. Mueth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Mueth more than expected).
Fields of papers citing papers by Daniel M. Mueth
This network shows the impact of papers produced by Daniel M. Mueth. 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 Daniel M. Mueth. The network helps show where Daniel M. Mueth may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel M. Mueth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Force distribution in a granular medium Hit paper breakdown → | 1998 | 460 |
| 2 | 2000 | 133 | |
| 3 | 2000 | 99 | |
| 4 | 2004 | 84 | |
| 5 | 2003 | 69 | |
| 6 | 1996 | 28 | |
| 7 | 1993 | 16 | |
| 8 | 2008 | 0 |
About Daniel M. Mueth
Daniel M. Mueth is a scholar working on Computational Mechanics, Condensed Matter Physics, Materials Chemistry, Biomedical Engineering and Surfaces, Coatings and Films, having authored 8 papers that have together received 889 indexed citations. Recurring topics across this work include Material Dynamics and Properties (5 papers), Granular flow and fluidized beds (4 papers), Microfluidic and Bio-sensing Technologies (2 papers), Theoretical and Computational Physics (2 papers), Landslides and related hazards (1 paper), Mechanical and Optical Resonators (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Computational Mechanics (599 citations), Management, Monitoring, Policy and Law (220 citations), Materials Chemistry (378 citations), Civil and Structural Engineering (171 citations) and Condensed Matter Physics (89 citations). Daniel M. Mueth has collaborated with scholars based in United States. Frequent co-authors include Heinrich M. Jaeger, Sidney R. Nagel, David G. Grier, Christophe Josserand, Alexei V. Tkachenko, Benjamin E. Lauderdale, Evan C. Tanner, John C. Crocker, Sergei E. Esipov and Osman Akcakir. Their work appears in journals such as Physical Review Letters, Optics Express, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
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.